Dinggang Shen
Orcid: 0000-0002-7934-5698Affiliations:
- ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
- North Carolina State University, Department of Radiology and Biomedical Research Imaging Center, Chapel Hill, NC, USA
- University of Pennsylvania, Philadelphia, PA, USA
- Johns Hopkins University, School of Medicine, Baltimore, MD, USA
- Shanghai Jiaotong University, Shanghai, China
According to our database1,
Dinggang Shen
authored at least 1,174 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to medical image analysis".
Timeline
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Bibliography
2024
IEEE J. Biomed. Health Informatics, April, 2024
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024
Tissue Segmentation of Thick-Slice Fetal Brain MR Scans With Guidance From High-Quality Isotropic Volumes.
IEEE Trans. Biomed. Eng., April, 2024
Inf. Fusion, April, 2024
IEEE Trans. Medical Imaging, February, 2024
Image Recovery Matters: A Recovery-Extraction Framework for Robust Fetal Brain Extraction From MR Images.
IEEE J. Biomed. Health Informatics, February, 2024
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy.
Medical Image Anal., February, 2024
A progressive framework for tooth and substructure segmentation from cone-beam CT images.
Comput. Biol. Medicine, February, 2024
IEEE Trans. Medical Imaging, January, 2024
IEEE Trans. Medical Imaging, January, 2024
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for Multi-Source Endoscopic Ultrasound Diagnosis.
IEEE Trans. Medical Imaging, January, 2024
A Novel Approach Analysing the Dynamic Brain Functional Connectivity for Improved MCI Detection.
IEEE Trans. Biomed. Eng., January, 2024
Medical Image Anal., January, 2024
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis.
Comput. Medical Imaging Graph., January, 2024
IEEE Trans. Image Process., 2024
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks.
CoRR, 2024
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion.
CoRR, 2024
Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging.
CoRR, 2024
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation.
CoRR, 2024
Image2Points: A 3D Point-based Context Clusters GAN for High-Quality PET Image Reconstruction.
CoRR, 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Breast Fibroglandular Tissue Segmentation for Automated BPE Quantification With Iterative Cycle-Consistent Semi-Supervised Learning.
IEEE Trans. Medical Imaging, December, 2023
A Hierarchical Graph V-Net With Semi-Supervised Pre-Training for Histological Image Based Breast Cancer Classification.
IEEE Trans. Medical Imaging, December, 2023
Artifact Detection and Restoration in Histology Images With Stain-Style and Structural Preservation.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Biomed. Eng., December, 2023
A-GCL: Adversarial graph contrastive learning for fMRI analysis to diagnose neurodevelopmental disorders.
Medical Image Anal., December, 2023
Multimodal transformer network for incomplete image generation and diagnosis of Alzheimer's disease.
Comput. Medical Imaging Graph., December, 2023
IEEE Trans. Medical Imaging, November, 2023
IEEE Trans. Medical Imaging, November, 2023
Multi-Scale Transformer Network With Edge-Aware Pre-Training for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging, November, 2023
IEEE J. Biomed. Health Informatics, November, 2023
Semi-Supervised Standard-Dose PET Image Generation via Region-Adaptive Normalization and Structural Consistency Constraint.
IEEE Trans. Medical Imaging, October, 2023
Brain Status Transferring Generative Adversarial Network for Decoding Individualized Atrophy in Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, October, 2023
TS-DSANN: Texture and shape focused dual-stream attention neural network for benign-malignant diagnosis of thyroid nodules in ultrasound images.
Medical Image Anal., October, 2023
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Pattern Recognit., August, 2023
Int. J. Comput. Vis., August, 2023
Two-Stage Self-Supervised Cycle-Consistency Transformer Network for Reducing Slice Gap in MR Images.
IEEE J. Biomed. Health Informatics, July, 2023
Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2023
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images.
Comput. Methods Programs Biomed., June, 2023
Severity prediction of pulmonary diseases using chest CT scans via cost-sensitive label multi-kernel distribution learning.
Comput. Biol. Medicine, June, 2023
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast.
IEEE Trans. Medical Imaging, May, 2023
BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images.
IEEE Trans. Medical Imaging, April, 2023
TMM-Nets: Transferred Multi- to Mono-Modal Generation for Lupus Retinopathy Diagnosis.
IEEE Trans. Medical Imaging, April, 2023
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets.
Medical Image Anal., April, 2023
Multi-Graph Attention Networks With Bilinear Convolution for Diagnosis of Schizophrenia.
IEEE J. Biomed. Health Informatics, March, 2023
IEEE Trans. Medical Imaging, February, 2023
Structural Attention Graph Neural Network for Diagnosis and Prediction of COVID-19 Severity.
IEEE Trans. Medical Imaging, February, 2023
IEEE J. Biomed. Health Informatics, February, 2023
A Federated Learning System for Histopathology Image Analysis With an Orchestral Stain-Normalization GAN.
IEEE Trans. Medical Imaging, 2023
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction.
IEEE J. Biomed. Health Informatics, 2023
IEEE Trans. Image Process., 2023
Pattern Recognit., 2023
Image synthesis with disentangled attributes for chest X-ray nodule augmentation and detection.
Medical Image Anal., 2023
Bidirectional prediction of facial and bony shapes for orthognathic surgical planning.
Medical Image Anal., 2023
CoRR, 2023
CoRR, 2023
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023
CoRR, 2023
Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.
CoRR, 2023
Construction of unbiased dental template and parametric dental model for precision digital dentistry.
CoRR, 2023
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR, 2023
CoRR, 2023
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models.
CoRR, 2023
Does perfect filtering really guarantee perfect phase correction for diffusion MRI data?
Comput. Medical Imaging Graph., 2023
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Reconstruction of 3D Fetal Brain MRI from 2D Cross-Sectional Acquisitions Using Unsupervised Learning Network.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
HENet: Hierarchical Enhancement Network for Pulmonary Vessel Segmentation in Non-contrast CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation.
Proceedings of the Cancer Prevention Through Early Detection, 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Federated Multi-trajectory GNNs Under Data Limitations for Baby Brain Connectivity Forecasting.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Mammo-Net: Integrating Gaze Supervision and Interactive Information in Multi-view Mammogram Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Contrastive Diffusion Model with Auxiliary Guidance for Coarse-to-Fine PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feature-Based Transformer with Incomplete Multimodal Brain Images for Diagnosis of Neurodegenerative Diseases.
Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Multi-Scale Supervised Contrastive Learning for Benign-Malignant Classification of Pulmonary Nodules in Chest Ct Scans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Semi-Supervised Domain-Adaptive Pulmonary Artery Segmentation via Uncertainty Guidance and Shape Strengthening.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Learning Hierarchical-Order Functional Connectivity Networks for Mild Cognitive Impairment Diagnosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
MT-NeT: Multi-Modality Transfer Learning Network for Automated Carotid Vessel Wall Segmentation using Sparse Annotation in MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
TriDoRNet: Reconstruction of Standard-Dose Pet from Low-Dose Pet in Triple (Projection, Image, and Frequency) Domains.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
S2DGAN: Generating Dual-energy CT from Single-energy CT for Real-time Determination of Intracerebral Hemorrhage.
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
Proceedings of the 34th British Machine Vision Conference 2023, 2023
2022
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
IEEE Trans. Medical Imaging, 2022
Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Semi-Supervised Deep Transfer Learning for Benign-Malignant Diagnosis of Pulmonary Nodules in Chest CT Images.
IEEE Trans. Medical Imaging, 2022
Localization of Craniomaxillofacial Landmarks on CBCT Images Using 3D Mask R-CNN and Local Dependency Learning.
IEEE Trans. Medical Imaging, 2022
Doubly Supervised Transfer Classifier for Computer-Aided Diagnosis With Imbalanced Modalities.
IEEE Trans. Medical Imaging, 2022
Identify Representative Samples by Conditional Random Field of Cancer Histology Images.
IEEE Trans. Medical Imaging, 2022
Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images.
IEEE J. Biomed. Health Informatics, 2022
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning.
IEEE J. Biomed. Health Informatics, 2022
Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging.
IEEE J. Biomed. Health Informatics, 2022
GAN-Guided Deformable Attention Network for Identifying Thyroid Nodules in Ultrasound Images.
IEEE J. Biomed. Health Informatics, 2022
Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Cybern., 2022
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern., 2022
Learning Brain Functional Networks With Latent Temporal Dependency for MCI Identification.
IEEE Trans. Biomed. Eng., 2022
Constructing Multi-View High-Order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder.
IEEE Trans. Biomed. Eng., 2022
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI.
Pattern Recognit., 2022
Pattern Recognit., 2022
Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
Pattern Recognit., 2022
Patterns, 2022
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease.
Neuroinformatics, 2022
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage, 2022
Semantic instance segmentation with discriminative deep supervision for medical images.
Medical Image Anal., 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
Adaptive rectification based adversarial network with spectrum constraint for high-quality PET image synthesis.
Medical Image Anal., 2022
Assessing clinical progression from subjective cognitive decline to mild cognitive impairment with incomplete multi-modal neuroimages.
Medical Image Anal., 2022
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical Image Anal., 2022
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Medical Image Anal., 2022
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.
Medical Image Anal., 2022
Knowl. Based Syst., 2022
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers.
J. Biomed. Informatics, 2022
SLMT-Net: A Self-supervised Learning based Multi-scale Transformer Network for Cross-Modality MR Image Synthesis.
CoRR, 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI.
CoRR, 2022
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.
CoRR, 2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.
CoRR, 2022
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction.
CoRR, 2022
Comput. Methods Programs Biomed., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Mapping in Cycles: Dual-Domain PET-CT Synthesis Framework with Cycle-Consistent Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.
Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022
Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
Proceedings of the Cancer Prevention Through Early Detection, 2022
Deep-Learning Based T<sub>1</sub> and T<sub>2</sub> Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
LA-Net: Lung Adenocarcinoma Classification with Assistants from Lung Nodule Classification and Positional Information.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Reconstruction of Standard-Dose Pet From Low-Dose Pet Via Dual-Frequency Supervision and Global Aggregation Module.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
IEEE Trans. Medical Imaging, 2021
Spherical Deformable U-Net: Application to Cortical Surface Parcellation and Development Prediction.
IEEE Trans. Medical Imaging, 2021
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
NHBS-Net: A Feature Fusion Attention Network for Ultrasound Neonatal Hip Bone Segmentation.
IEEE Trans. Medical Imaging, 2021
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images.
IEEE Trans. Medical Imaging, 2021
Structure-Driven Unsupervised Domain Adaptation for Cross-Modality Cardiac Segmentation.
IEEE Trans. Medical Imaging, 2021
Anatomy-Regularized Representation Learning for Cross-Modality Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Cybern., 2021
Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021
Pattern Recognit., 2021
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images.
Pattern Recognit., 2021
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.
npj Digit. Medicine, 2021
Neural Networks, 2021
DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021
Nat. Mach. Intell., 2021
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan.
Medical Image Anal., 2021
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.
Medical Image Anal., 2021
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images.
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.
Medical Image Anal., 2021
Difficulty-aware hierarchical convolutional neural networks for deformable registration of brain MR images.
Medical Image Anal., 2021
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling.
Medical Image Anal., 2021
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification.
Medical Image Anal., 2021
Multi-Regression based supervised sample selection for predicting baby connectome evolution trajectory from neonatal timepoint.
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
Medical Image Anal., 2021
Diverse data augmentation for learning image segmentation with cross-modality annotations.
Medical Image Anal., 2021
Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI.
CoRR, 2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.
CoRR, 2021
Comput. Medical Imaging Graph., 2021
An artificial-intelligence lung imaging analysis system (ALIAS) for population-based nodule computing in CT scans.
Comput. Medical Imaging Graph., 2021
BMC Medical Imaging, 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
Artif. Intell. Medicine, 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Self-supervised Deep Framework for Reference Bony Shape Estimation in Orthognathic Surgical Planning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Self-adversarial Learning for Detection of Clustered Microcalcifications in Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Two-Stage Self-supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-Layer-Wise Dense Connections.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Contrastive Learning Based Stain Normalization Across Multiple Tumor in Histopathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
CA<sup>2.5</sup>-Net Nuclei Segmentation Framework with a Microscopy Cell Benchmark Collection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
A Few-Shot Learning Graph Multi-trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
Automatic Prostate Cancer Detection On Multi-Parametric Mri With Hierarchical Weakly Supervised Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
A Multi-scale Graph Network with Multi-head Attention for Histopathology Image Diagnosisn.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Dataset, April, 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation.
IEEE Trans. Medical Imaging, 2020
Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation.
IEEE Trans. Medical Imaging, 2020
CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation.
IEEE Trans. Medical Imaging, 2020
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.
IEEE Trans. Medical Imaging, 2020
IEEE Trans. Medical Imaging, 2020
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations.
IEEE Trans. Medical Imaging, 2020
Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images.
IEEE Trans. Medical Imaging, 2020
Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners.
IEEE Trans. Medical Imaging, 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE Trans. Medical Imaging, 2020
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging.
IEEE Trans. Medical Imaging, 2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting".
IEEE Trans. Medical Imaging, 2020
One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures.
IEEE Trans. Medical Imaging, 2020
IEEE J. Biomed. Health Informatics, 2020
Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View.
IEEE J. Biomed. Health Informatics, 2020
Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features.
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process., 2020
Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks.
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.
IEEE Trans. Image Process., 2020
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Trans. Cybern., 2020
IEEE Trans. Biomed. Eng., 2020
Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations.
IEEE Trans. Biomed. Eng., 2020
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network.
IEEE Trans. Biomed. Eng., 2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification.
IEEE Trans. Biomed. Eng., 2020
IEEE Trans. Biomed. Eng., 2020
Population-guided large margin classifier for high-dimension low-sample-size problems.
Pattern Recognit., 2020
Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images.
Pattern Recognit., 2020
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Neuroinformatics, 2020
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Neuroinformatics, 2020
Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas.
NeuroImage, 2020
NeuroImage, 2020
Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Medical Image Anal., 2020
Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization.
Medical Image Anal., 2020
Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions.
Medical Image Anal., 2020
SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors.
Medical Image Anal., 2020
Medical Image Anal., 2020
Medical Image Anal., 2020
Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis.
Medical Image Anal., 2020
A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.
Medical Image Anal., 2020
Mammographic mass segmentation using multichannel and multiscale fully convolutional networks.
Int. J. Imaging Syst. Technol., 2020
Learning longitudinal classification-regression model for infant hippocampus segmentation.
Neurocomputing, 2020
Int. J. Comput. Vis., 2020
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation.
CoRR, 2020
CoRR, 2020
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective.
CoRR, 2020
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19.
CoRR, 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images.
CoRR, 2020
Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification.
CoRR, 2020
CoRR, 2020
Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).
CoRR, 2020
Comput. Medical Imaging Graph., 2020
Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis, 2020
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
mr<sup>2</sup>NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020
Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification.
World Wide Web, 2019
World Wide Web, 2019
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation.
IEEE Trans. Neural Networks Learn. Syst., 2019
Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data.
IEEE Trans. Medical Imaging, 2019
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer's Disease Neuroimaging Initiative's Clinical Scores.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.
IEEE Trans. Medical Imaging, 2019
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks.
IEEE Trans. Medical Imaging, 2019
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting.
IEEE Trans. Medical Imaging, 2019
IEEE Trans. Medical Imaging, 2019
Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019
IEEE J. Biomed. Health Informatics, 2019
IEEE J. Biomed. Health Informatics, 2019
A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases.
IEEE Trans. Image Process., 2019
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification.
IEEE Trans. Image Process., 2019
IEEE Trans. Cybern., 2019
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns.
IEEE Trans. Cybern., 2019
3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation.
IEEE Trans. Cybern., 2019
Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.
IEEE Trans. Biomed. Eng., 2019
IEEE Trans. Biomed. Eng., 2019
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration.
IEEE Trans. Biomed. Eng., 2019
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2019
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit., 2019
Pattern Recognit., 2019
Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Pattern Recognit., 2019
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.
IEEE Trans. Pattern Anal. Mach. Intell., 2019
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.
Neuroinformatics, 2019
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.
NeuroImage, 2019
NeuroImage, 2019
Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019
The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development.
NeuroImage, 2019
Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications.
NeuroImage, 2019
Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data.
NeuroImage, 2019
Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation.
Medical Image Anal., 2019
Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
Medical Image Anal., 2019
CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation.
Medical Image Anal., 2019
Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks.
Medical Image Anal., 2019
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Medical Image Anal., 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
Medical Image Anal., 2019
Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space.
Medical Image Anal., 2019
XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.
Medical Image Anal., 2019
Medical Image Anal., 2019
Frontiers Neuroinformatics, 2019
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations.
Frontiers Neuroinformatics, 2019
CoRR, 2019
Dual Adversarial Learning with Attention Mechanism for Fine-grained Medical Image Synthesis.
CoRR, 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
CoRR, 2019
Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019
Complex., 2019
Deep feature descriptor based hierarchical dense matching for X-ray angiographic images.
Comput. Methods Programs Biomed., 2019
Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression.
IEEE Access, 2019
Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network.
IEEE Access, 2019
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Harmonization of Infant Cortical Thickness Using Surface-to-Surface Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Estimating Reference Bony Shape Model for Personalized Surgical Reconstruction of Posttraumatic Facial Defects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Intrinsic Patch-Based Cortical Anatomical Parcellation Using Graph Convolutional Neural Network on Surface Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Revealing Developmental Regionalization of Infant Cerebral Cortex Based on Multiple Cortical Properties.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Wavelet-based Semi-supervised Adversarial Learning for Synthesizing Realistic 7T from 3T MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
MeshSNet: Deep Multi-scale Mesh Feature Learning for End-to-End Tooth Labeling on 3D Dental Surfaces.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
End-to-End Dementia Status Prediction from Brain MRI Using Multi-task Weakly-Supervised Attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Automatic Detection of Craniomaxillofacial Anatomical Landmarks on CBCT Images Using 3D Mask R-CNN.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Characterizing Non-Gaussian Diffusion in Heterogeneously Oriented Tissue Microenvironments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Reconstructing High-Quality Diffusion MRI Data from Orthogonal Slice-Undersampled Data Using Graph Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Multi-task Learning for Neonatal Brain Segmentation Using 3D Dense-Unet with Dense Attention Guided by Geodesic Distance.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Surface-Volume Consistent Construction of Longitudinal Atlases for the Early Developing Brain.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces.
Proceedings of the Information Processing in Medical Imaging, 2019
Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Multi-Atlas Segmentation of MR Tumor Brain Images Using Low-Rank Based Image Recovery.
IEEE Trans. Medical Imaging, 2018
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes.
IEEE Trans. Medical Imaging, 2018
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.
IEEE Trans. Medical Imaging, 2018
Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2018
IEEE J. Biomed. Health Informatics, 2018
Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning.
IEEE Trans. Image Process., 2018
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis.
IEEE Trans. Image Process., 2018
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis.
IEEE Trans. Image Process., 2018
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
IEEE Trans. Biomed. Eng., 2018
Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker.
Pattern Recognit., 2018
Cognitive Assessment Prediction in Alzheimer's Disease by Multi-Layer Multi-Target Regression.
Neuroinformatics, 2018
3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018
Deep embedding convolutional neural network for synthesizing CT image from T1-Weighted MR image.
Medical Image Anal., 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants.
Medical Image Anal., 2018
Medical Image Anal., 2018
Medical Image Anal., 2018
Conversion and time-to-conversion predictions of mild cognitive impairment using low-rank affinity pursuit denoising and matrix completion.
Medical Image Anal., 2018
Medical Image Anal., 2018
Medical Image Anal., 2018
Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.
Medical Image Anal., 2018
Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease.
Medical Image Anal., 2018
Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.
Frontiers Neuroinformatics, 2018
Frontiers Neuroinformatics, 2018
Frontiers Neuroinformatics, 2018
Image denoising with morphology- and size-adaptive block-matching transform domain filtering.
EURASIP J. Image Video Process., 2018
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation.
CoRR, 2018
Deep Learning based Inter-Modality Image Registration Supervised by Intra-Modality Similarity.
CoRR, 2018
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.
CoRR, 2018
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Comput. Medical Imaging Graph., 2018
Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications.
Int. J. Comput. Assist. Radiol. Surg., 2018
IEEE Access, 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Multi-modal Neuroimaging Data Fusion via Latent Space Learning for Alzheimer's Disease Diagnosis.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Registration-Free Infant Cortical Surface Parcellation Using Deep Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Multi-Tissue Global Estimation Framework for Asymmetric Fiber Orientation Distributions.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Joint Robust Imputation and Classification for Early Dementia Detection Using Incomplete Multi-modality Data.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Do Baby Brain Cortices that Look Alike at Birth Grow Alike During the First Year of Postnatal Development?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018
Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF).
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Revealing Regional Associations of Cortical Folding Alterations with In Utero Ventricular Dilation Using Joint Spectral Embedding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Construction of spatiotemporal neonatal cortical surface atlases using a large-scale dataset.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Estimation of shape and growth brain network atlases for connectomic brain mapping in developing infants.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Semi-supervised learning for pelvic MR image segmentation based on multi-task residual fully convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.
IEEE J. Biomed. Health Informatics, 2017
Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks.
IEEE Trans. Image Process., 2017
IEEE Trans. Biomed. Eng., 2017
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
IEEE Trans. Biomed. Eng., 2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Eng., 2017
Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers.
IEEE Trans. Big Data, 2017
Pattern Recognit., 2017
Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution.
Pattern Recognit., 2017
Automatic cystocele severity grading in transperineal ultrasound by random forest regression.
Pattern Recognit., 2017
Neuroinformatics, 2017
Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.
Neuroinformatics, 2017
Joint prediction of longitudinal development of cortical surfaces and white matter fibers from neonatal MRI.
NeuroImage, 2017
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Medical Image Anal., 2017
Medical Image Anal., 2017
Medical Image Anal., 2017
Erratum to "Predicting Infant Cortical Surface Development Using a 4D Varifold-based Learning Framework and Local Topography-based Shape Morphing" [Med. Image Anal. 28 (2016)1-12].
Medical Image Anal., 2017
View-aligned hypergraph learning for Alzheimer's disease diagnosis with incomplete multi-modality data.
Medical Image Anal., 2017
Medical Image Anal., 2017
Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis.
Medical Image Anal., 2017
Concatenated spatially-localized random forests for hippocampus labeling in adult and infant MR brain images.
Neurocomputing, 2017
Deep auto-context convolutional neural networks for standard-dose PET image estimation from low-dose PET/MRI.
Neurocomputing, 2017
Neurocomputing, 2017
Remodeling Pearson's Correlation for Functional Brain Network Estimation and Autism Spectrum Disorder Identification.
Frontiers Neuroinformatics, 2017
Deep Embedding Convolutional Neural Network for Synthesizing CT Image from T1-Weighted MR Image.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Maximum Mean Discrepancy Based Multiple Kernel Learning for Incomplete Multimodality Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Joint Craniomaxillofacial Bone Segmentation and Landmark Digitization by Context-Guided Fully Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep Learning.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Deep Multi-task Multi-channel Learning for Joint Classification and Regression of Brain Status.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Joint Reconstruction and Segmentation of 7T-like MR Images from 3T MRI Based on Cascaded Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
A novel framework for groupwise registration of fMRI images based on common functional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains.
Proceedings of the Information Processing in Medical Imaging, 2017
Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017
Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017
2016
Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains.
IEEE Trans. Medical Imaging, 2016
IEEE Trans. Medical Imaging, 2016
Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
IEEE Trans. Medical Imaging, 2016
Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments.
IEEE Trans. Medical Imaging, 2016
Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model.
IEEE Trans. Medical Imaging, 2016
Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching.
IEEE Trans. Medical Imaging, 2016
Accurate Segmentation of CT Male Pelvic Organs via Regression-Based Deformable Models and Multi-Task Random Forests.
IEEE Trans. Medical Imaging, 2016
Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ<sub>0</sub> Sparse-Group Estimation.
IEEE Trans. Image Process., 2016
IEEE Trans. Image Process., 2016
Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification.
IEEE Trans. Biomed. Eng., 2016
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.
IEEE Trans. Biomed. Eng., 2016
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Eng., 2016
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Eng., 2016
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data.
Stat. Anal. Data Min., 2016
Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization.
NeuroImage, 2016
State-space model with deep learning for functional dynamics estimation in resting-state fMRI.
NeuroImage, 2016
Multidirectional and Topography-based Dynamic-scale Varifold Representations with Application to Matching Developing Cortical Surfaces.
NeuroImage, 2016
NeuroImage, 2016
Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features.
NeuroImage, 2016
Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data.
NeuroImage, 2016
Predicting infant cortical surface development using a 4D varifold-based learning framework and local topography-based shape morphing.
Medical Image Anal., 2016
Medical Image Anal., 2016
A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016
Neurocomputing, 2016
Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.
Frontiers Neuroinformatics, 2016
CoRR, 2016
A dynamic tree-based registration could handle possible large deformations among MR brain images.
Comput. Medical Imaging Graph., 2016
In vivo MRI based prostate cancer localization with random forests and auto-context model.
Comput. Medical Imaging Graph., 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Early Diagnosis of Alzheimer's Disease by Joint Feature Selection and Classification on Temporally Structured Support Vector Machine.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
A Hybrid Multishape Learning Framework for Longitudinal Prediction of Cortical Surfaces and Fiber Tracts Using Neonatal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Discovering Cortical Folding Patterns in Neonatal Cortical Surfaces Using Large-Scale Dataset.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Diagnosis of Alzheimer's Disease Using View-Aligned Hypergraph Learning with Incomplete Multi-modality Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Convolutional Neural Network for Reconstruction of 7T-like Images from 3T MRI Using Appearance and Anatomical Features.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Semi-supervised Hierarchical Multimodal Feature and Sample Selection for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Fully convolutional networks for multi-modality isointense infant brain image segmentation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Combination of Grey Matter and White Matter Features for Early Prediction of Posttraumatic Stress Disorder.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016
2015
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement.
IEEE Trans. Medical Imaging, 2015
IEEE J. Biomed. Health Informatics, 2015
IEEE J. Biomed. Health Informatics, 2015
Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).
IEEE Trans. Biomed. Eng., 2015
IEEE Trans. Biomed. Eng., 2015
Pattern Recognit., 2015
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso.
IEEE Trans. Pattern Anal. Mach. Intell., 2015
Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.
Neuroinformatics, 2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.
NeuroImage, 2015
Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.
NeuroImage, 2015
LINKS: Learning-based multi-source IntegratioN frameworK for Segmentation of infant brain images.
NeuroImage, 2015
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
NeuroImage, 2015
NeuroImage, 2015
Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal., 2015
Locally-constrained boundary regression for segmentation of prostate and rectum in the planning CT images.
Medical Image Anal., 2015
Medical Image Anal., 2015
Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.
Medical Image Anal., 2015
Medical Image Anal., 2015
Robust anatomical landmark detection with application to MR brain image registration.
Comput. Medical Imaging Graph., 2015
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Image Super-Resolution by Supervised Adaption of Patchwise Self-similarity from High-Resolution Image.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Progressive Label Fusion Framework for Multi-atlas Segmentation by Dictionary Evolution.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Prediction of Infant MRI Appearance and Anatomical Structure Evolution Using Sparse Patch-Based Metamorphosis Learning Framework.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Topography-Based Registration of Developing Cortical Surfaces in Infants Using Multidirectional Varifold Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Subject-Specific Estimation of Missing Cortical Thickness Maps in Developing Infant Brains.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Parcellation of Infant Surface Atlas Using Developmental Trajectories of Multidimensional Cortical Attributes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Segmentation of Infant Hippocampus Using Common Feature Representations Learned for Multimodal Longitudinal Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Hierarchical Multi-modal Image Registration by Learning Common Feature Representations.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Joint Learning of Image Regressor and Classifier for Deformable Segmentation of CT Pelvic Organs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Novel Single and Multiple Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Hierarchical Reconstruction of 7T-like Images from 3T MRI Using Multi-level CCA and Group Sparsity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
A Multi-level Canonical Correlation Analysis Scheme for Standard-Dose PET Image Estimation.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015
Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Prediction of Longitudinal Development of Infant Cortical Surface Shape Using a 4D Current-Based Learning Framework.
Proceedings of the Information Processing in Medical Imaging, 2015
Joint 6D k-q Space Compressed Sensing for Accelerated High Angular Resolution Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2015
Proceedings of the Machine Learning Meets Medical Imaging - First International Workshop, 2015
Interactive Registration and Segmentation for Multi-Atlas-Based Labeling of Brain MR Image.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015
2014
Proceedings of the Machine Learning in Healthcare Informatics, 2014
IEEE Trans. Medical Imaging, 2014
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
IEEE Trans. Medical Imaging, 2014
Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy.
IEEE Trans. Medical Imaging, 2014
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
Identifying Informative Imaging Biomarkers via Tree Structured Sparse Learning for AD Diagnosis.
Neuroinformatics, 2014
Sparse Multivariate Autoregressive Modeling for Mild Cognitive Impairment Classification.
Neuroinformatics, 2014
A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis.
NeuroImage, 2014
Hierarchical unbiased graph shrinkage (HUGS): A novel groupwise registration for large data set.
NeuroImage, 2014
NeuroImage, 2014
Integration of sparse multi-modality representation and anatomical constraint for isointense infant brain MR image segmentation.
NeuroImage, 2014
Neurodegenerative disease diagnosis using incomplete multi-modality data via matrix shrinkage and completion.
NeuroImage, 2014
Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.
NeuroImage, 2014
Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants.
NeuroImage, 2014
Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.
NeuroImage, 2014
Measuring the dynamic longitudinal cortex development in infants by reconstruction of temporally consistent cortical surfaces.
NeuroImage, 2014
Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI.
NeuroImage, 2014
Medical Image Anal., 2014
Medical Image Anal., 2014
A generative probability model of joint label fusion for multi-atlas based brain segmentation.
Medical Image Anal., 2014
Simultaneous and consistent labeling of longitudinal dynamic developing cortical surfaces in infants.
Medical Image Anal., 2014
Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Hierarchical Label Fusion with Multiscale Feature Representation and Label-Specific Patch Partition.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Estimating Anatomically-Correct Reference Model for Craniomaxillofacial Deformity via Sparse Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Multiple-Network Classification of Childhood Autism Using Functional Connectivity Dynamics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Maximum-Margin Based Representation Learning from Multiple Atlases for Alzheimer's Disease Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Constructing 4D Infant Cortical Surface Atlases Based on Dynamic Developmental Trajectories of the Cortex.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014
Designing Single- and Multiple-Shell Sampling Schemes for Diffusion MRI Using Spherical Code.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Connectomics signature for characterizaton of mild cognitive impairment and schizophrenia.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
MRI based attenuation correction for PET/MRI via MRF segmentation and sparse regression estimated CT.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Tailor the longitudinal anaysis for nih longitudinal normal brain developmental study.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
2013
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-View Spectral Clustering.
IEEE Trans. Medical Imaging, September, 2013
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images.
IEEE Trans. Medical Imaging, 2013
IEEE Trans. Medical Imaging, 2013
Automated Segmentation of Mouse Brain Images Using Multi-Atlas Multi-ROI Deformation and Label Fusion.
Neuroinformatics, 2013
Fine-Granularity Functional Interaction Signatures for Characterization of Brain Conditions.
Neuroinformatics, 2013
Neuroinformatics, 2013
Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers.
Neuroinformatics, 2013
Development of cortical anatomical properties from early childhood to early adulthood.
NeuroImage, 2013
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data.
NeuroImage, 2013
Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.
NeuroImage, 2013
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Large Deformation Image Classification Using Generalized Locality-Constrained Linear Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images with Explicit Orientation Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Temporally Dynamic Resting-State Functional Connectivity Networks for Early MCI Identification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Identification of MCI Using Optimal Sparse MAR Modeled Effective Connectivity Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Integration of Sparse Multi-modality Representation and Geometrical Constraint for Isointense Infant Brain Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Automated Segmentation of CBCT Image Using Spiral CT Atlases and Convex Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Identification of Alzheimer's Disease Using Incomplete Multimodal Dataset via Matrix Shrinkage and Completion.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Inter-modality Relationship Constrained Multi-Task Feature Selection for AD/MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Representation Learning: A Unified Deep Learning Framework for Automatic Prostate MR Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Multi-atlas Based Simultaneous Labeling of Longitudinal Dynamic Cortical Surfaces in Infants.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Manifold Regularized Multi-Task Feature Selection for Multi-Modality Classification in Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Sparse Multimodal Manifold-Regularized Transfer Learning for MCI Conversion Prediction.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Non-negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Patch-driven neonatal brain MRI segmentation with sparse representation and level sets.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Measuring longitudinally dynamic cortex development in infants by reconstruction of consistent cortical surfaces.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Proceedings of the Information Processing in Medical Imaging, 2013
Joint Learning of Appearance and Transformation for Predicting Brain MR Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2013
Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization.
Proceedings of the Information Processing in Medical Imaging, 2013
Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Hierarchical Patch-Based Sparse Representation - A New Approach for Resolution Enhancement of 4D-CT Lung Data.
IEEE Trans. Medical Imaging, 2012
IEEE Trans. Medical Imaging, 2012
Automated Delineation of Calcified Vessels in Mammography by Tracking With Uncertainty and Graphical Linking Techniques.
IEEE Trans. Medical Imaging, 2012
IEEE Trans. Image Process., 2012
A General Fast Registration Framework by Learning Deformation-Appearance Correlation.
IEEE Trans. Image Process., 2012
Erratum to multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease [Neuroimage 59/2 (2012) 895-907].
NeuroImage, 2012
Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease.
NeuroImage, 2012
Registration of longitudinal brain image sequences with implicit template and spatial-temporal heuristics.
NeuroImage, 2012
Identification of MCI individuals using structural and functional connectivity networks.
NeuroImage, 2012
Altered structural connectivity in neonates at genetic risk for schizophrenia: A combined study using morphological and white matter networks.
NeuroImage, 2012
NeuroImage, 2012
A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences.
NeuroImage, 2012
NeuroImage, 2012
NeuroImage, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
Hierarchical Ensemble of Multi-level Classifiers for Diagnosis of Alzheimer's Disease.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Robust Anatomical Correspondence Detection by Graph Matching with Sparsity Constraint.
Proceedings of the Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Identification of breast vascular calcium deposition in digital mammography by linear structure analysis.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Reconstruction of super-resolution lung 4D-CT using patch-based sparse representation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
2011
NeuroImage, 2011
SharpMean: Groupwise registration guided by sharp mean image and tree-based registration.
NeuroImage, 2011
Enriched white matter connectivity networks for accurate identification of MCI patients.
NeuroImage, 2011
Automatic segmentation of neonatal images using convex optimization and coupled level sets.
NeuroImage, 2011
Sex differences in grey matter atrophy patterns among AD and aMCI patients: Results from ADNI.
NeuroImage, 2011
NeuroImage, 2011
Longitudinal regression analysis of spatial-temporal growth patterns of geometrical diffusion measures in early postnatal brain development with diffusion tensor imaging.
NeuroImage, 2011
Tissue probability map constrained 4D clustering algorithm for increased accuracy and robustness in SerialMR brain image segmentation.
Int. J. Medical Eng. Informatics, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Multi-Modal Multi-Task Learning for Joint Prediction of Clinical Scores in Alzheimer's Disease.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Reconstruction of Fiber Trajectories via Population-Based Estimation of Local Orientations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Longitudinal Tractography with Application to Neuronal Fiber Trajectory Reconstruction in Neonates.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
A Learning Based Hierarchical Framework for Automatic Prostate Localization in CT Images.
Proceedings of the Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
iTree: Fast and accurate image registration based on the combinative and incremental tree.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Reconstruction of 4D-CT from a Single Free-Breathing 3D-CT by Spatial-Temporal Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2011
A Novel Longitudinal Atlas Construction Framework by Groupwise Registration of Subject Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2011
Hierarchical anatomical brain networks for MCI prediction by partial least square analysis.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
IEEE Trans. Medical Imaging, 2010
IEEE Signal Process. Mag., 2010
TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation.
NeuroImage, 2010
Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.
NeuroImage, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Registration of Longitudinal Image Sequences with Implicit Template and Spatial-Temporal Heuristics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
The Alzheimer's Disease Neuroimaging Initiative: Consistent 4D Cortical Thickness Measurement for Longitudinal Neuroimaging Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Automatic Segmentation of Neonatal Images Using Convex Optimization and Coupled Level Set Method.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010
Groupwise registration from exemplar to group mean: xtending HAMMER to groupwise registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Joint estimation of multiple clinical variables of neurological diseases from imaging patterns.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
Pattern Recognit., 2009
Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth.
NeuroImage, 2009
Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" [NeuroImage 46 (2009) 762-774].
NeuroImage, 2009
NeuroImage, 2009
White matter abnormalities revealed by diffusion tensor imaging in non-demented and demented HIV+ patients.
NeuroImage, 2009
Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason Score.
Medical Image Anal., 2009
A new statistically-constrained deformable registration framework for MR brain images.
Int. J. Medical Eng. Informatics, 2009
Tissue probability map constrained CLASSIC for increased accuracy and robustness in serial image segmentation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Group-wise registration of large image dataset by hierarchical clustering and alignment.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Brain tissue segmentation of neonatal MR images using a longitudinal subject-specific probabilistic atlas.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Hierarchical unbiased group-wise registration for atlas construction and population comparison.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Proceedings of the Information Processing in Medical Imaging, 2009
Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Cortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coil.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
Non-rigid registration between histological and MR images of the prostate: A joint segmentation and registration framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009
2008
ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images.
IEEE Trans. Medical Imaging, 2008
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics.
IEEE Trans. Medical Imaging, 2008
Multimodality image registration by maximization of quantitative-qualitative measure of mutual information.
Pattern Recognit., 2008
Parallel optimization of tumor model parameters for fast registration of brain tumor images.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Imaging 2008: Image Processing, 2008
3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Improving Parenchyma Segmentation by Simultaneous Estimation of Tissue Property T1 Map and Group-Wise Registration of Inversion Recovery MR Breast Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
Application and validation of registration framework for real-time atlas guided biopsy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Effect of hierarchical deformable motion compensation on image enhancement for DSA acquired via C-ARM.
Proceedings of the Image Processing: Algorithms and Systems VI, 2008
Proceedings of the Image Processing: Algorithms and Systems VI, 2008
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2007
IEEE Trans. Medical Imaging, 2007
IEEE Trans. Medical Imaging, 2007
Multivariate examination of brain abnormality using both structural and functional MRI.
NeuroImage, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images.
Proceedings of the Information Processing in Medical Imaging, 2007
Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach.
Proceedings of the International Conference on Image Processing, 2007
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.
IEEE Trans. Medical Imaging, 2006
IEEE Trans. Medical Imaging, 2006
Pattern Recognit., 2006
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms.
NeuroImage, 2006
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing.
NeuroImage, 2006
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping.
Medical Image Anal., 2006
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation.
Medical Image Anal., 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Proceedings of the Medical Imaging and Augmented Reality, 2006
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Pattern Recognit., 2005
Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry.
Proc. Natl. Acad. Sci. USA, 2005
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection.
NeuroImage, 2005
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI).
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
2004
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels.
IEEE Trans. Medical Imaging, 2004
Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping.
NeuroImage, 2004
Deformable registration of cortical structures via hybrid volumetric and surface warping.
NeuroImage, 2004
Morphological classification of brains via high-dimensional shape transformations and machine learning methods.
NeuroImage, 2004
Medical Image Anal., 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Morphological Classification of Medical Images using Nonlinear Support Vector Machines.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface.
Proceedings of the Computational and Information Science, First International Symposium, 2004
2003
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model.
IEEE Trans. Medical Imaging, 2003
IEEE Trans. Medical Imaging, 2003
Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration.
NeuroImage, 2003
Automatic classification of sulcal regions of the human brain cortex using pattern recognition.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
IEEE Trans. Medical Imaging, 2002
Measuring Size and Shape of the Hippocampus in MR Images Using a Deformable Shape Model.
NeuroImage, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Proceedings of the Seventh International Conference on Control, 2002
A B-snake model using statistical and geometric information-applications to medical images.
Proceedings of the Seventh International Conference on Control, 2002
2001
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures.
IEEE Trans. Medical Imaging, 2001
IEEE Trans. Medical Imaging, 2001
Pattern Recognit., 2001
Robust detection of skewed symmetries by combining local and semi-local affine invariants.
Pattern Recognit., 2001
J. Electronic Imaging, 2001
Image Vis. Comput., 2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001
2000
Pattern Recognit., 2000
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 2000 International Conference on Image Processing, 2000
1999
Pattern Recognit., 1999
IEEE Trans. Pattern Anal. Mach. Intell., 1999
Image Vis. Comput., 1999
1998
Image Vis. Comput., 1998
Proceedings of IAPR Workshop on Machine Vision Applications, 1998
Proceedings of the Multimedia Information Analysis and Retrieval, 1998
1997
A Hopfield neural network for adaptive image segmentation: An active surface paradigm.
Pattern Recognit. Lett., 1997
IEEE Trans. Pattern Anal. Mach. Intell., 1997
1995
Proceedings of the Recent Developments in Computer Vision, 1995