Dinggang Shen
According to our database1,
Dinggang Shen
authored at least 823 papers
between 1995 and 2020.
Collaborative distances:
Collaborative distances:
Awards
IEEE Fellow
IEEE Fellow 2018, "For contributions to medical image analysis".
Timeline
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Bibliography
2020
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis.
IEEE Trans. Neural Networks Learn. Syst., 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
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging, 2020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
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
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
High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation.
IEEE Trans. Image Process., 2020
Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores.
IEEE Trans. Cybern., 2020
Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification.
IEEE Trans. Biomed. Engineering, 2020
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network.
IEEE Trans. Biomed. Engineering, 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
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
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
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
Learning longitudinal classification-regression model for infant hippocampus segmentation.
Neurocomputing, 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
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan.
CoRR, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning.
CoRR, 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia.
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
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation.
CoRR, 2020
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.
Comput. Medical Imaging Graph., 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
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. Engineering, 2019
Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction.
IEEE Trans. Biomed. Engineering, 2019
A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration.
IEEE Trans. Biomed. Engineering, 2019
Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Engineering, 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 x-q 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
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation.
CoRR, 2019
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks.
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.
Complexity, 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. Engineering, 2018
Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Engineering, 2018
Deformable Image Registration Using a Cue-Aware Deep Regression Network.
IEEE Trans. Biomed. Engineering, 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 and Video Processing, 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
Infant brain development prediction with latent partial multi-view representation learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 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. Engineering, 2017
Correction to "Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning".
IEEE Trans. Biomed. Engineering, 2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Engineering, 2017
Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
IEEE Trans. Biomed. Engineering, 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 ℓ0 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. Engineering, 2016
Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.
IEEE Trans. Biomed. Engineering, 2016
Scalable High-Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning.
IEEE Trans. Biomed. Engineering, 2016
Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis.
IEEE Trans. Biomed. Engineering, 2016
Composite large margin classifiers with latent subclasses for heterogeneous biomedical data.
Statistical Analysis and Data Mining, 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. Engineering, 2015
Domain Transfer Learning for MCI Conversion Prediction.
IEEE Trans. Biomed. Engineering, 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 ℓ1-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. Biology Bioinform., 2014
Integration of Network Topological and Connectivity Properties for Neuroimaging Classification.
IEEE Trans. Biomed. Engineering, 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.
Proceedings of the Image Processing: Algorithms and Systems VI, 2008
Learning-based deformation estimation for fast non-rigid registration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008
2007
Targeted Prostate Biopsy Using Statistical Image Analysis.
IEEE Trans. Medical Imaging, 2007
COMPARE: Classification of Morphological Patterns Using Adaptive Regional Elements.
IEEE Trans. Medical Imaging, 2007
Image registration by local histogram matching.
Pattern Recognit., 2007
Multivariate examination of brain abnormality using both structural and functional MRI.
NeuroImage, 2007
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Segmentation and Classification of Breast Tumor Using Dynamic Contrast-Enhanced MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Robust Computation of Mutual Information Using Spatially Adaptive Meshes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
Step: Spatial-Temporal Enhancement Pattern, for Mr-Based Breast Tumor Diagnosis.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Statistically-Constrained Deformable Registration of Mr Brain Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Simultaneous Estimation and Segmentation of T1 Map for Breast Parenchyma Measurement.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Learning Best Features and Deformation Statistics for Hierarchical Registration of MR Brain Images.
Proceedings of the Information Processing in Medical Imaging, 2007
Motion Correction Strategies for Interventional Angiography Images: A Comparative Approach.
Proceedings of the International Conference on Image Processing, 2007
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007
2006
Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method.
IEEE Trans. Medical Imaging, 2006
Learning-based deformable registration of MR brain images.
IEEE Trans. Medical Imaging, 2006
An adaptive error penalization method for training an efficient and generalized SVM.
Pattern Recognit., 2006
Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms.
NeuroImage, 2006
CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing.
NeuroImage, 2006
Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping.
Medical Image Anal., 2006
Deformable registration of brain tumor images via a statistical model of tumor-induced deformation.
Medical Image Anal., 2006
Registering Histological and MR Images of Prostate for Image-Based Cancer Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
A General Learning Framework for Non-rigid Image Registration.
Proceedings of the Medical Imaging and Augmented Reality, 2006
Registration of brain images with tumors: towards the construction of statistical atlases for therapy planning.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Improve brain registration using machine learning methods.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Estimating myocardial fiber orientations by template warping.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
Statistically-Constrained High-Dimensional Warping Using Wavelet-Based Priors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006
2005
Design efficient support vector machine for fast classification.
Pattern Recognit., 2005
Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry.
Proc. Natl. Acad. Sci. USA, 2005
Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection.
NeuroImage, 2005
Statistical Representation and Simulation of High-Dimensional Deformations: Application to Synthesizing Brain Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Learning Best Features for Deformable Registration of MR Brains.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Consistent Estimation of Cardiac Motions by 4D Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Deformable Registration of Brain Tumor Images Via a Statistical Model of Tumor-Induced Deformation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Classification of Structural Images via High-Dimensional Image Warping, Robust Feature Extraction, and SVM.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005
Increasing Efficiency of SVM by Adaptively Penalizing Outliers.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005
Multi-modal Image Registration by Quantitative-Qualitative Measure of Mutual Information (Q-MI).
Proceedings of the Computer Vision for Biomedical Image Applications, 2005
2004
Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels.
IEEE Trans. Medical Imaging, 2004
Automated morphometric study of brain variation in XXY males.
NeuroImage, 2004
Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping.
NeuroImage, 2004
Deformable registration of cortical structures via hybrid volumetric and surface warping.
NeuroImage, 2004
Morphological classification of brains via high-dimensional shape transformations and machine learning methods.
NeuroImage, 2004
Optimized prostate biopsy via a statistical atlas of cancer spatial distribution.
Medical Image Anal., 2004
Lane detection and tracking using B-Snake.
Image Vis. Comput., 2004
Image Registration by Hierarchical Matching of Local Spatial Intensity Histograms.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Deformable Registration of Tumor-Diseased Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
An Efficient Method for Deformable Segmentation of 3D US Prostate Images.
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004
Deformable Registration of Male Pelvises in CT Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
4D Image Warping for Measurement of Longitudinal Brain Changes.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Predictive Modeling of Anatomic Structures Using Canonical Correlation Analysis.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Morphological Classification of Medical Images using Nonlinear Support Vector Machines.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004
Increasing the Efficiency of Support Vector Machine by Simplifying the Shape of Separation Hypersurface.
Proceedings of the Computational and Information Science, First International Symposium, 2004
2003
Segmentation of Prostate Boundaries from Ultrasound Images Using Statistical Shape Model.
IEEE Trans. Medical Imaging, 2003
Hierarchical Active Shape Models, Using the Wavelet Transform.
IEEE Trans. Medical Imaging, 2003
Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration.
NeuroImage, 2003
Automatic classification of sulcal regions of the human brain cortex using pattern recognition.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Automated Segmentation of 3D US Prostate Images Using Statistical Texture-Based Matching Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Correspondence Detection Using Wavelet-Based Attribute Vectors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
2002
HAMMER: Heirarchical Attribute Matching Mechanism for Elastic Registration.
IEEE Trans. Medical Imaging, 2002
Automatic segmentation of white matter lesions in T1-weighted brain MR images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Statistically-based reorientation of diffusion tensor field.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
Statistical shape model for automatic skull-stripping of brain images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
A novel Bayesian shape model for facial feature extraction.
Proceedings of the Seventh International Conference on Control, 2002
A B-snake model using statistical and geometric information-applications to medical images.
Proceedings of the Seventh International Conference on Control, 2002
2001
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain Structures.
IEEE Trans. Medical Imaging, 2001
A Framework for Predictive Modeling of Anatomical Deformations.
IEEE Trans. Medical Imaging, 2001
An efficient fuzzy algorithm for aligning shapes under affine transformations.
Pattern Recognit., 2001
Robust detection of skewed symmetries by combining local and semi-local affine invariants.
Pattern Recognit., 2001
Constraint relationship for reflectional symmetry and rotational symmetry.
J. Electronic Imaging, 2001
An energy of asymmetry for accurate detection of global reflection axes.
Image Vis. Comput., 2001
A Statistical Atlas of Prostate Cancer for Optimal Biopsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Structure-adaptive B-snake for segmenting complex objects.
Proceedings of the 2001 International Conference on Image Processing, 2001
Statistically Optimized Biopsy Strategy for the Diagnosis of Prostate Cancer.
Proceedings of the 14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 2001
2000
Lane detection using spline model.
Pattern Recognit. Lett., 2000
Affine invariant detection of perceptually parallel 3D planar curves.
Pattern Recognit., 2000
An Adaptive-Focus Deformable Model Using Statistical and Geometric Information.
IEEE Trans. Pattern Anal. Mach. Intell., 2000
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
A Framework for Predictive Modeling of Intra-operative Deformations: A Simulation-Based Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
Robust Detection of Skewed Symmetries.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
A Novel Theorem on Symmetries of 2D Images.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Detecting Reflection Axes by Energy Minimization.
Proceedings of the 15th International Conference on Pattern Recognition, 2000
A Deformable Template Model Based on Fuzzy Alignment Algorithm.
Proceedings of the 2000 International Conference on Image Processing, 2000
1999
Discriminative wavelet shape descriptors for recognition of 2-D patterns.
Pattern Recognit., 1999
Symmetry Detection by Generalized Complex (GC) Moments: A Close-Form Solution.
IEEE Trans. Pattern Anal. Mach. Intell., 1999
Affine-invariant image retrieval by correspondence matching of shapes.
Image Vis. Comput., 1999
1998
An affine-invariant active contour model (AI-snake) for model-based segmentation.
Image Vis. Comput., 1998
A Novel Lane Model for Lane Boundary Detection.
Proceedings of IAPR Workshop on Machine Vision Applications, 1998
An Area-Based Shape Representation for Affine Invariant Content-Based Retrieval.
Proceedings of the Multimedia Information Analysis and Retrieval, 1998
1997
A Hopfield neural network for adaptive image segmentation: An active surface paradigm.
Pattern Recognit. Lett., 1997
Generalized Affine Invariant Image Normalization.
IEEE Trans. Pattern Anal. Mach. Intell., 1997
1995
Video Segment Indexing through Classification and Interactive View-Based Query..
Proceedings of the Recent Developments in Computer Vision, 1995