Dinggang Shen

Affiliations:
  • 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 995 papers between 1995 and 2022.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to medical image analysis".

Timeline

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Bibliography

2022
Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Cross-Site Severity Assessment of COVID-19 From CT Images via Domain Adaptation.
IEEE Trans. Medical Imaging, 2022

Recurrent Tissue-Aware Network for Deformable Registration of Infant Brain MR Images.
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

Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images.
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

Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images.
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

A cascaded nested network for 3T brain MR image segmentation guided by 7T labeling.
Pattern Recognit., 2022

Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images.
Pattern Recognit., 2022

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage, 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

COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers.
J. Biomed. Informatics, 2022

Semi-Cycled Generative Adversarial Networks for Real-World Face Super-Resolution.
CoRR, 2022

Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation.
CoRR, 2022

Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis.
CoRR, 2022

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction.
CoRR, 2022

Transformers in Medical Image Analysis: A Review.
CoRR, 2022

Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.
CoRR, 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
S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.
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

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.
IEEE Trans. Medical Imaging, 2021

Boundary Coding Representation for Organ Segmentation in Prostate Cancer Radiotherapy.
IEEE Trans. Medical Imaging, 2021

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
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

Fast and Accurate Craniomaxillofacial Landmark Detection via 3D Faster R-CNN.
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

Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation.
IEEE Trans. Cybern., 2021

Estimating Reference Shape Model for Personalized Surgical Reconstruction of Craniomaxillofacial Defects.
IEEE Trans. Biomed. Eng., 2021

Reducing magnetic resonance image spacing by learning without ground-truth.
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

Advanced deep learning methods for biomedical information analysis: An editorial.
Neural Networks, 2021

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques.
NeuroImage, 2021

Publisher Correction: Learning MRI artefact removal with unpaired data.
Nat. Mach. Intell., 2021

Learning MRI artefact removal with unpaired data.
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

Incomplete multi-modal representation learning for Alzheimer's disease diagnosis.
Medical Image Anal., 2021

Gaussianization of Diffusion MRI Data Using Spatially Adaptive Filtering.
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

Hypergraph learning for identification of COVID-19 with CT imaging.
Medical Image Anal., 2021

TSegNet: An efficient and accurate tooth segmentation network on 3D dental model.
Medical Image Anal., 2021

ABCnet: Adversarial bias correction network for infant brain MR images.
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

Learning MRI Artifact Removal With Unpaired Data.
CoRR, 2021

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.
CoRR, 2021

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation.
CoRR, 2021

Multi-Modal MRI Reconstruction with Spatial Alignment Network.
CoRR, 2021

Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images.
CoRR, 2021

Is Perfect Filtering Enough Leading to Perfect Phase Correction for dMRI data?
CoRR, 2021

Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation.
CoRR, 2021

A consistent deep registration network with group data modeling.
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

GACDN: generative adversarial feature completion and diagnosis network for COVID-19.
BMC Medical Imaging, 2021

Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021

Interactive medical image segmentation via a point-based interaction.
Artif. Intell. Medicine, 2021

Nodule Synthesis and Selection for Augmenting Chest X-ray Nodule Detection.
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

Confidence-Aware Cascaded Network for Fetal Brain Segmentation on MR Images.
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

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Motion Correction for Liver DCE-MRI with Time-Intensity Curve Constraint.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI.
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

3D Transformer-GAN for High-Quality PET Reconstruction.
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

Skull Segmentation from CBCT Images via Voxel-Based Rendering.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Multi-scale Segmentation Network for Rib Fracture Classification from CT Images.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Morphology-Guided Prostate MRI Segmentation with Multi-slice Association.
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

Variational Encoding and Decoding for Hybrid Supervision of Registration Network.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

VertNet: Accurate Vertebra Localization and Identification Network from CT Images.
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

Hierarchical Morphology-Guided Tooth Instance Segmentation from CBCT Images.
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
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis.
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

Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19.
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

A Multi-Organ Nucleus Segmentation Challenge.
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

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
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

Editorial: Predictive Intelligence in Biomedical and Health Informatics.
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

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation.
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

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction".
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

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
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

Multiple Kernel $k$k-Means with Incomplete Kernels.
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

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation.
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

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning.
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

Domain-invariant interpretable fundus image quality assessment.
Medical Image Anal., 2020

Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains.
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

Adversarial Confidence Learning for Medical Image Segmentation and Synthesis.
Int. J. Comput. Vis., 2020

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation.
CoRR, 2020

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy.
CoRR, 2020

Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective.
CoRR, 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation.
CoRR, 2020

An Auto-Context Deformable Registration Network for Infant Brain MRI.
CoRR, 2020

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation.
CoRR, 2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging.
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

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning.
CoRR, 2020

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE).
CoRR, 2020

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.
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

Unsupervised Learning for Spherical Surface Registration.
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

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search.
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

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity.
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

Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images.
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

Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging.
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

Construction of Spatiotemporal Infant Cortical Surface Functional Templates.
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

Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network.
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

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.
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

7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network.
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

Non-Local U-Nets for Biomedical Image Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis.
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

Group sparse reduced rank regression for neuroimaging genetic study.
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

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
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

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments.
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

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space.
IEEE Trans. Medical Imaging, 2019

Machine Learning in Medical Imaging.
IEEE J. Biomed. Health Informatics, 2019

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph.
IEEE J. Biomed. Health Informatics, 2019

Functional Brain Network Estimation With Time Series Self-Scrubbing.
IEEE J. Biomed. Health Informatics, 2019

Guest Editorial Skin Lesion Image Analysis for Melanoma Detection.
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

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images.
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

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.
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

Weighted graph regularized sparse brain network construction for MCI identification.
Pattern Recognit., 2019

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis.
Pattern Recognit., 2019

Late Fusion Incomplete Multi-View Clustering.
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

First-year development of modules and hubs in infant brain functional networks.
NeuroImage, 2019

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.
NeuroImage, 2019

Computational neuroanatomy of baby brains: A review.
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

Automatic brain labeling via multi-atlas guided fully convolutional networks.
Medical Image Anal., 2019

BIRNet: Brain image registration using dual-supervised fully convolutional networks.
Medical Image Anal., 2019

Adversarial learning for mono- or multi-modal registration.
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

Surface-constrained volumetric registration for the early developing brain.
Medical Image Anal., 2019

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation.
Frontiers Neuroinformatics, 2019

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations.
Frontiers Neuroinformatics, 2019

Multi-Kernel Filtering: An Extension of Bilateral Filtering Using Image Context.
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

Brain Network Construction and Classification Toolbox (BrainNetClass).
CoRR, 2019

Semantic-guided Encoder Feature Learning for Blurry Boundary Delineation.
CoRR, 2019

Deep Morphological Simplification Network (MS-Net) for Guided Registration of Brain Magnetic Resonance Images.
CoRR, 2019

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets.
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

MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Robust and Discriminative Brain Genome Association Study.
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

Deep Multi-modal Latent Representation Learning for Automated Dementia Diagnosis.
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

Automated Parcellation of the Cortex Using Structural Connectome Harmonics.
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

Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision.
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

DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks.
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

cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit.
Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 2019

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Early Development of Infant Brain Complex Network.
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

CNS: CycleGAN-Assisted Neonatal Segmentation Model for Cross-Datasets.
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

Inter-modality Dependence Induced Data Recovery for MCI Conversion Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Spherical U-Net For Infant Cortical Surface Parcellation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Frnet: Flattened Residual Network for Infant MRI Skull Stripping.
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

Hierarchical Representation For Ct Prostate Segmentation.
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

Cortical Foldingprints for Infant Identification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Spherical U-Net on Cortical Surfaces: Methods and Applications.
Proceedings of the Information Processing in Medical Imaging, 2019

Asymmetry Spectrum Imaging for Baby Diffusion Tractography.
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

Decoding EEG by Visual-guided Deep Neural Networks.
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

Multi-View Missing Data Completion.
IEEE Trans. Knowl. Data Eng., 2018

Anatomical Landmark Based Deep Feature Representation for MR Images in Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics, 2018

Multi-Hypergraph Learning for Incomplete Multimodality Data.
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

Guest Editorial Special Issue on Deep Learning in Medical Imaging.
IEEE Trans. Biomed. Eng., 2018

Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Eng., 2018

Deformable Image Registration Using a Cue-Aware Deep Regression Network.
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

Segmenting hippocampal subfields from 3T MRI with multi-modality images.
Medical Image Anal., 2018

Robust brain ROI segmentation by deformation regression and deformable shape model.
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

Learning non-linear patch embeddings with neural networks for label fusion.
Medical Image Anal., 2018

Landmark-based deep multi-instance learning for brain disease diagnosis.
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

Data-driven graph construction and graph learning: A review.
Neurocomputing, 2018

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment.
Frontiers Neuroinformatics, 2018

Spatiotemporal Analysis of Developing Brain Networks.
Frontiers Neuroinformatics, 2018

Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space.
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

A Generative Model for OCT Retinal Layer Segmentation by Groupwise Curve Alignment.
IEEE Access, 2018

Malignant Brain Tumor Classification Using the Random Forest Method.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Genotype-Phenotype association study via new multi-task learning model.
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

Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks.
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

Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI.
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

Unpaired Deep Cross-Modality Synthesis with Fast Training.
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

Penalized Geodesic Tractography for Mitigating Gyral Bias.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification.
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

Temporal Correlation Structure Learning for MCI Conversion Prediction.
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

Early Diagnosis of Autism Disease by Multi-channel CNNs.
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

Enhancement of Perivascular Spaces Using a Very Deep 3D Dense Network.
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

Voxel Deconvolutional Networks for 3D Brain Image Labeling.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Adversarial Learning for Multi-Modality Missing Data Completion.
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

Fetal cortical parcellation based on growth patterns.
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

Construction of spatiotemporal infant cortical surface atlas of rhesus macaque.
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

Contour Knowledge Transfer for Salient Object Detection.
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

Multi-Layer Multi-View Classification for Alzheimer's Disease Diagnosis.
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

Structured Learning for 3-D Perivascular Space Segmentation Using Vascular Features.
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

Robust multi-atlas label propagation by deep sparse representation.
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

Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.
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

Deep ensemble learning of sparse regression models for brain disease diagnosis.
Medical Image Anal., 2017

Progressive multi-atlas label fusion by dictionary evolution.
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

Gyral net: A new representation of cortical folding organization.
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

Scalable joint segmentation and registration framework for infant brain images.
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

Regularized Modal Regression with Applications in Cognitive Impairment Prediction.
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

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis.
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

Sparse Multi-view Task-Centralized Learning for ASD Diagnosis.
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

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
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

Novel Effective Connectivity Network Inference for MCI Identification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface.
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

Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Multimodal Hyper-connectivity Networks for MCI Classification.
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

Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks.
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

Efficient Groupwise Registration for Brain MRI by Fast Initialization.
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

q-Space Upsampling Using x-q Space Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deformable Image Registration Based on Similarity-Steered CNN Regression.
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

Fully automated esophagus segmentation with a hierarchical deep learning approach.
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

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
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

Detecting Anatomical Landmarks for Fast Alzheimer's Disease Diagnosis.
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

Reconstruction of 7T-Like Images From 3T MRI.
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

Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation.
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

Estimating functional brain networks by incorporating a modularity prior.
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

Hyper-connectivity of functional networks for brain disease diagnosis.
Medical Image Anal., 2016

A learning-based CT prostate segmentation method via joint transductive feature selection and regression.
Neurocomputing, 2016

Denoising magnetic resonance images using collaborative non-local means.
Neurocomputing, 2016

Embarrassingly Parallel Acceleration of Global Tractography via Dynamic Domain Partitioning.
Frontiers Neuroinformatics, 2016

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
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

Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph.
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

Fast Neuroimaging-Based Retrieval for Alzheimer's Disease Analysis.
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

Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images.
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

Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency.
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

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Automatic Cystocele Severity Grading in Ultrasound by Spatio-Temporal Regression.
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

New Multi-task Learning Model to Predict Alzheimer's Disease Cognitive Assessment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Learning-Based Topological Correction for Infant Cortical Surfaces.
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

XQ-NLM: Denoising Diffusion MRI Data via x-q Space Non-local Patch Matching.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Learning-Based Multimodal Image Registration for Prostate Cancer Radiation Therapy.
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

7T-Guided Learning Framework for Improving the Segmentation of 3T MR Images.
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

Cross-Manifold Guidance in Deformable Registration of Brain MR Images.
Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Collaborative Multi-View Denoising.
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

EditorialMachine Learning and Data Mining in Medical Imaging.
IEEE J. Biomed. Health Informatics, 2015

A Robust Deep Model for Improved Classification of AD/MCI Patients.
IEEE J. Biomed. Health Informatics, 2015

Anatomy-Guided Dense Individualized and Common Connectivity-Based Cortical Landmarks (A-DICCCOL).
IEEE Trans. Biomed. Eng., 2015

Domain Transfer Learning for MCI Conversion Prediction.
IEEE Trans. Biomed. Eng., 2015

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.
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

Improved image registration by sparse patch-based deformation estimation.
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

A transversal approach for patch-based label fusion via matrix completion.
Medical Image Anal., 2015

Construction of 4D high-definition cortical surface atlases of infants: Methods and applications.
Medical Image Anal., 2015

Building dynamic population graph for accurate correspondence detection.
Medical Image Anal., 2015

Machine learning in medical imaging.
Comput. Medical Imaging Graph., 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

Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Multi-view Classification for Identification of Alzheimer's Disease.
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

Automatic Hippocampus Labeling Using the Hierarchy of Sub-region Random Forests.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Space-Frequency Detail-Preserving Construction of Neonatal Brain Atlases.
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

Dual-Layer ℓ<sub>1</sub>-Graph Embedding for Semi-supervised Image Labeling.
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

Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression.
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

Multi-atlas Based Segmentation Editing with Interaction-Guided Constraints.
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

Non-local Atlas-guided Multi-channel Forest Learning for Human Brain Labeling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Soft-Split Random Forest for Anatomy Labeling.
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

Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Multi-atlas Context Forests for Knee MR Image Segmentation.
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

MCI Identification by Joint Learning on Multiple MRI Data.
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

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance.
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

Tensorial Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning.
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

Block-Based Statistics for Robust Non-parametric Morphometry.
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

Automated Segmentation of CBCT Image with Prior-Guided Sequential Random Forest.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015

Automatic parcellation of cortical surfaces using random forests.
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

Collaborative non-local means denoising of magnetic resonance images.
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

Discriminative Dimensionality Reduction for Patch-Based Label Fusion.
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
Machine Learning Techniques for AD/MCI Diagnosis and Prognosis.
Proceedings of the Machine Learning in Healthcare Informatics, 2014

Uncertainty Estimation in Diffusion MRI Using the Nonlocal Bootstrap.
IEEE Trans. Medical Imaging, 2014

Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging, 2014

Correction to "Learning to Rank Atlases for Multiple-Atlas Segmentation".
IEEE Trans. Medical Imaging, 2014

Learning to Rank Atlases for Multiple-Atlas Segmentation.
IEEE Trans. Medical Imaging, 2014

Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy.
IEEE Trans. Medical Imaging, 2014

DNA Copy Number Selection Using Robust Structured Sparsity-Inducing Norms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Eng., 2014

A Markov Random Field Groupwise Registration Framework for Face Recognition.
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

Fiber-driven resolution enhancement of diffusion-weighted images.
NeuroImage, 2014

Segmentation of neonatal brain MR images using patch-driven level sets.
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

Large deformation diffeomorphic registration of diffusion-weighted imaging data.
Medical Image Anal., 2014

Characterization of U-shape streamline fibers: Methods and applications.
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

Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis.
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

Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images.
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

Joint Segmentation and Registration for Infant Brain Images.
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

Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Clustering-Induced Multi-task Learning for AD/MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Longitudinal Guided Super-Resolution Reconstruction of Neonatal Brain MR Images.
Proceedings of the Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 2014

CT Prostate Deformable Segmentation by Boundary Regression.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Novel Multi-Atlas Segmentation by Matrix Completion.
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

Atlas-Guided Multi-channel Forest Learning for Human Brain Labeling.
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2014

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis.
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

Robust Deep Learning for Improved Classification of AD/MCI Patients.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

Brain Connectivity Hyper-Network for MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Robust Anatomical Landmark Detection for MR Brain Image Registration.
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

Motion-guided resolution enhancement for Lung 4D-CT.
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

Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Learning-Based Atlas Selection for Multiple-Atlas Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Detection and analysis of T2DM biomarkers from brain MR images using BrainLab.
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013
Sparse Patch-Based Label Propagation for Accurate Prostate Localization in CT Images.
IEEE Trans. Medical Imaging, 2013

Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching.
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

iBEAT: A Toolbox for Infant Brain Magnetic Resonance Image Processing.
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

Consistent 4D brain extraction of serial brain MR images.
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

Estimating Uncertainty in White Matter Tractography Using Wild Non-local Bootstrap.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013

A Generative Model for Resolution Enhancement of Diffusion MRI Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Minimizing Joint Risk of Mislabeling for Iterative Patch-Based Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Unsupervised Deep Feature Learning for Deformable Registration of MR Brain Images.
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

Deep Learning-Based Feature Representation for AD/MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Low-Rank Total Variation for Image Super-Resolution.
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

Brain-Cloud: A Generalized and Flexible Registration Framework for Brain MR Images.
Proceedings of the Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions, 2013

Unsupervised Deep Learning for Hippocampus Segmentation in 7.0 Tesla MR Images.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

Integrating Multiple Network Properties for MCI Identification.
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

Regularized Spherical Polar Fourier Diffusion MRI with Optimal Dictionary Learning.
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

Harnessing Group-Sparsity Regularization for Resolution Enhancement of Lung 4D-CT.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Inferring functional network-based signatures via structurally-weighted LASSO model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Inter-group image registration by hierarchical graph shrinkage.
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

Kernel-based multi-task joint sparse classification for Alzheimer'S disease.
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

MR prostate segmentation via distributed discriminative dictionary (DDD) learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Exploring High-Order Functional Interactions via Structurally-Weighted LASSO Models.
Proceedings of the Information Processing in Medical Imaging, 2013

The Non-Local Bootstrap - Estimation of Uncertainty in Diffusion MRI.
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

Groupwise Registration via Graph Shrinkage on the Image Manifold.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso.
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

Spatial Transformation of DWI Data Using Non-Negative Sparse Representation.
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

A Feature-Based Learning Framework for Accurate Prostate Localization in CT Images.
IEEE Trans. Image Process., 2012

A General Fast Registration Framework by Learning Deformation-Appearance Correlation.
IEEE Trans. Image Process., 2012

A Statistical Framework for Inter-Group Image Registration.
Neuroinformatics, 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

LABEL: Pediatric brain extraction using learning-based meta-algorithm.
NeuroImage, 2012

Ensemble sparse classification of Alzheimer's disease.
NeuroImage, 2012

A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences.
NeuroImage, 2012

Consistent reconstruction of cortical surfaces from longitudinal brain MR images.
NeuroImage, 2012

Iterative multi-atlas-based multi-image segmentation with tree-based registration.
NeuroImage, 2012

Machine Learning in Medical Imaging.
Int. J. Biomed. Imaging, 2012

Directed graph based image registration.
Comput. Medical Imaging Graph., 2012

Initialising Groupwise Non-rigid Registration Using Multiple Parts+Geometry Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Non-local Means Resolution Enhancement of Lung 4D-CT Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Large Deformation Diffeomorphic Registration of Diffusion-Weighted Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Temporally-Constrained Group Sparse Learning for Longitudinal Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Sparse Patch-Based Label Fusion for Multi-Atlas Segmentation.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Resolution Enhancement of Diffusion-Weighted Images by Local Fiber Profiling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Spatial Warping of DWI Data Using Sparse Representation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

DWI Denoising Using Spatial, Angular, and Radiometric Filtering.
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

Constrained Sparse Functional Connectivity Networks for MCI Classification.
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

Groupwise Segmentation Improves Neuroimaging Classification Accuracy.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

Atlas Construction via Dictionary Learning and Group Sparsity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Dense Deformation Reconstruction via Sparse Coding.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Transductive Prostate Segmentation for CT Image Guided Radiotherapy.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves.
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

Tree-Guided Sparse Coding for Brain Disease Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Group Sparsity Constrained Automatic Brain Label Propagation.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Sparse Patch Based Prostate Segmentation in CT Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Partition Cortical Surfaces into Supervertices: Method and Application.
Proceedings of the Mesh Processing in Medical Image Analysis 2012, 2012

Sparse Patch-Guided Deformation Estimation for Improved Image Registration.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Structural Feature Selection for Connectivity Network-Based MCI Diagnosis.
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

Prostate Segmentation by Sparse Representation Based Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Domain Transfer Learning for MCI Conversion Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Multi-contrast diffusion tensor image registration with structural MRI.
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
PopTract: Population-Based Tractography.
IEEE Trans. Medical Imaging, 2011

Multimodal classification of Alzheimer's disease and mild cognitive impairment.
NeuroImage, 2011

SPHERE: SPherical Harmonic Elastic REgistration of HARDI data.
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

Consistent sulcal parcellation of longitudinal cortical surfaces.
NeuroImage, 2011

Intermediate templates guided groupwise registration of diffusion tensor images.
NeuroImage, 2011

Brain anatomical networks in early human brain development.
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

Confidence-Guided Sequential Label Fusion for Multi-atlas Based Segmentation.
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

MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease.
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

Identification of Individuals with MCI via Multimodality Connectivity Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Diffusion Tensor Image Registration with Combined Tract and Tensor Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Fiber Modeling and Clustering Based on Neuroanatomical Features.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Accurate and Consistent 4D Segmentation of Serial Infant Brain MR Images.
Proceedings of the Multimodal Brain Image Analysis, First International Workshop, 2011

Robust Deformable-Surface-Based Skull-Stripping for Large-Scale Studies.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Learning-Based Meta-Algorithm for MRI Brain Extraction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Learning Statistical Correlation of Prostate Deformations for Fast Registration.
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

Consistent Reconstruction of Cortical Surfaces from Longitudinal Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

Learning Image Context for Segmentation of Prostate in CT-Guided Radiotherapy.
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

Learning-based prostate localization for image guided radiation therapy.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Semi-supervised multimodal classification of alzheimer's disease.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Automated DNA fiber tracking and measurement.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Consistent sulcal parcellation of longitudinal cortical surfaces.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Groupwise registration of breast DCE-MR images for accurate tumor measurement.
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
F-TIMER: Fast Tensor Image Morphing for Elastic Registration.
IEEE Trans. Medical Imaging, 2010

Human Brain Connectomics: Networks, Techniques, and Applications [Life Sciences].
IEEE Signal Process. Mag., 2010

TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation.
NeuroImage, 2010

Attribute vector guided groupwise registration.
NeuroImage, 2010

Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation.
NeuroImage, 2010

Neonatal brain image segmentation in longitudinal MRI studies.
NeuroImage, 2010

ABSORB: Atlas building by self-organized registration and bundling.
NeuroImage, 2010

Groupwise Registration by Hierarchical Anatomical Correspondence Detection.
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

Groupwise Registration with Sharp Mean.
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

A Generalized Learning Based Framework for Fast Brain Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Multiple Cortical Surface Correspondence Using Pairwise Shape Similarity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Simulation of Brain Mass Effect with an Arbitrary Lagrangian and Eulerian FEM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Hierachical Spherical Harmonics Based Deformable HARDI Registration.
Proceedings of the Medical Imaging and Augmented Reality - 5th International Workshop, 2010

Hierarchical Fiber Clustering Based on Multi-Scale Neuroanatomical Features.
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

Spatial-Temporal Constraint for Segmentation of Serial Infant Brain MR Images.
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

Neonatal brain MRI segmentation by building multi-region-multireference atlases.
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
Estimating myocardial motion by 4D image warping.
Pattern Recognit., 2009

Fast image registration by hierarchical soft correspondence detection.
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

TIMER: Tensor Image Morphing for Elastic Registration.
NeuroImage, 2009

RABBIT: Rapid alignment of brains by building intermediate templates.
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

RABBIT: rapid alignment of brains by building intermediate templates.
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

RADTI: regression analyses of diffusion tensor images.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

LSTGEE: longitudinal analysis of neuroimaging data.
Proceedings of the Medical Imaging 2009: Image Processing, 2009

Integrated feature extraction and selection for neuroimage classification.
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

Fast Tensor Image Morphing for Elastic Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Mapping Growth Patterns and Genetic Influences on Early Brain Development in Twins.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

MARM: Multiscale Adaptive Regression Models for Neuroimaging Data.
Proceedings of the Information Processing in Medical Imaging, 2009

Detection of Arterial Calcification in Mammograms by Random Walks.
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

Spatial normalization of diffusion tensor images based on anisotropic segmentation.
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

Diffusion Tensor Image Registration Using Tensor Geometry and Orientation Features.
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

Robust Brain Registration Using Adaptive Probabilistic Atlas.
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

Application of statistical cancer atlas for 3D biopsy.