Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning - Zheren Li; Zhiming Cui; Sheng Wang; Yuji Qi; Xi Ouyang; Qitian Chen; Yuezhi Yang; Zhong Xue; Dinggang Shen; Jie-Zhi Cheng (CoRR, 2021)

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation - Jose Dolz; Christian Desrosiers; Li Wang; Jing Yuan; Dinggang Shen; Ismail Ben Ayed (Comput. Medical Imaging Graph., 2020)

Adversarial Confidence Learning for Medical Image Segmentation and Synthesis - Dong Nie; Dinggang Shen (Int. J. Comput. Vis., 2020)

Learning longitudinal classification-regression model for infant hippocampus segmentation - Yanrong Guo; Zhengwang Wu; Dinggang Shen (Neurocomputing, 2020)

Mammographic mass segmentation using multichannel and multiscale fully convolutional networks - Shengzhou Xu; Ehsan Adeli; Jie-Zhi Cheng; Lei Xiang; Yang Li; Seong-Whan Lee; Dinggang Shen (Int. J. Imaging Syst. Technol., 2020)

Mitigating gyral bias in cortical tractography via asymmetric fiber orientation distributions - Ye Wu; Yoonmi Hong; Yuanjing Feng; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2020)

Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization - Jun Zhang; Mingxia Liu; Li Wang; Si Chen; Peng Yuan; Jianfu Li; Steve Guo-Fang Shen; Zhen Tang; Ken-Chung Chen; James J. Xia; Dinggang Shen (Medical Image Anal., 2020)

Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data - Tao Zhou; Kim-Han Thung; Mingxia Liu; Feng Shi; Changqing Zhang; Dinggang Shen (Medical Image Anal., 2020)

Domain-invariant interpretable fundus image quality assessment - Yaxin Shen; Bin Sheng; Ruogu Fang; Huating Li; Ling Dai; Skylar E. Stolte; Jing Qin; Weiping Jia; Dinggang Shen (Medical Image Anal., 2020)

Synthesized 7T MRI from 3T MRI via deep learning in spatial and wavelet domains - Liangqiong Qu; Yongqin Zhang; Shuai Wang; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2020)

Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis - Biao Jie; Mingxia Liu; Chunfeng Lian; Feng Shi; Dinggang Shen (Medical Image Anal., 2020)

A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly - Oualid M. Benkarim; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li; Miguel Ángel González Ballester; Gerard Sanroma (Medical Image Anal., 2020)

SLIR: Synthesis, localization, inpainting, and registration for image-guided thermal ablation of liver tumors - Dongming Wei; Sahar Ahmad; Jiayu Huo; Pu Huang; Pew-Thian Yap; Zhong Xue; Jianqi Sun; Wentao Li; Dinggang Shen; Qian Wang (Medical Image Anal., 2020)

High-resolution 3D MR Fingerprinting using parallel imaging and deep learning - Yong Chen; Zhenghan Fang; Sheng-Che Hung; Weitang Chang; Dinggang Shen; Weili Lin (NeuroImage, 2020)

Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas - Xiaopeng Zong; Chunfeng Lian; Jordan Jimenez; Koji Yamashita; Dinggang Shen; Weili Lin (NeuroImage, 2020)

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification - Yang Li; Jingyu Liu; Zi-Wen Peng; Can Sheng; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Neuroinformatics, 2020)

FCN Based Label Correction for Multi-Atlas Guided Organ Segmentation - Hancan Zhu; Ehsan Adeli; Feng Shi; Dinggang Shen (Neuroinformatics, 2020)

Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis Using Structural MRI - Chunfeng Lian; Mingxia Liu; Jun Zhang; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Multiple Kernel kk-Means with Incomplete Kernels - Xinwang Liu; Xinzhong Zhu; Miaomiao Li; Lei Wang; En Zhu; Tongliang Liu; Marius Kloft; Dinggang Shen; Jianping Yin; Wen Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Population-guided large margin classifier for high-dimension low-sample-size problems - Qingbo Yin; Ehsan Adeli; Liran Shen; Dinggang Shen (Pattern Recognit., 2020)

Deep morphological simplification network (MS-Net) for guided registration of brain magnetic resonance images - Dongming Wei; Lichi Zhang; Zhengwang Wu; Xiaohuan Cao; Gang Li; Dinggang Shen; Qian Wang (Pattern Recognit., 2020)

Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network - Qinglin Dong; Fangfei Ge; Ning Qiang; Yu Zhao; Jinglei Lv; Heng Huang; Jing Yuan; Xi Jiang; Dinggang Shen; Tianming Liu (IEEE Trans. Biomed. Eng., 2020)

Estimating Functional Connectivity Networks via Low-Rank Tensor Approximation With Applications to MCI Identification - Xiao Jiang; Limei Zhang; Lishan Qiao; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network - Mingliang Wang; Chunfeng Lian; Dongren Yao; Daoqiang Zhang; Mingxia Liu; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Corrections to "Deep Learning Based Multi-Modal Fusion for Fast MR Reconstruction" - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks" - Dong Nie; Roger Trullo; Jun Lian; Li Wang; Caroline Petitjean; Su Ruan; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Iterative Label Denoising Network: Segmenting Male Pelvic Organs in CT From 3D Bounding Box Annotations - Shuai Wang; Qian Wang; Yeqin Shao; Liangqiong Qu; Chunfeng Lian; Jun Lian; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores - Mingxia Liu; Jun Zhang; Chunfeng Lian; Dinggang Shen (IEEE Trans. Cybern., 2020)

High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation - Sihang Zhou; Dong Nie; Ehsan Adeli; Jianping Yin; Jun Lian; Dinggang Shen (IEEE Trans. Image Process., 2020)

Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks - Zhenyu Tang; Xianli Liu; Yang Li; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation - Xuhua Ren; Sahar Ahmad; Lichi Zhang; Lei Xiang; Dong Nie; Fan Yang; Qian Wang; Dinggang Shen (IEEE Trans. Image Process., 2020)

Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks - Siyuan Liu; Kim-Han Thung; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2020)

Hierarchical Rough-to-Fine Model for Infant Age Prediction Based on Cortical Features - Dan Hu; Zhengwang Wu; Weili Lin; Gang Li; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Editorial: Predictive Intelligence in Biomedical and Health Informatics - Ehsan Adeli-Mosabbeb; S. H. Rekik; Sang Hyun Park; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Toward a Better Estimation of Functional Brain Network for Mild Cognitive Impairment Identification: A Transfer Learning View - Weikai Li; Limei Zhang; Lishan Qiao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images - Wanqi Yang; Yinghuan Shi; Sang Hyun Park; Ming Yang; Yang Gao; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT - Liang Sun; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Bin Song; Wanchun Gao; Wei Shao; Feng Shi; Huan Yuan; Huiting Jiang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection - Tae-Eui Kam; Han Zhang; Zhicheng Jiao; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Erratum to "Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting" - Zhenghan Fang; Yong Chen; Mingxia Liu; Lei Xiang; Qian Zhang; Qian Wang; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Identifying Autism Spectrum Disorder With Multi-Site fMRI via Low-Rank Domain Adaptation - Mingliang Wang; Daoqiang Zhang; Jiashuang Huang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu (IEEE Trans. Medical Imaging, 2020)

One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures - Xu Chen; James J. Xia; Dinggang Shen; Chunfeng Lian; Li Wang; Hannah H. Deng; Steve H. Fung; Dong Nie; Kim-Han Thung; Pew-Thian Yap; Jaime Gateno (IEEE Trans. Medical Imaging, 2020)

A Multi-Organ Nucleus Segmentation Challenge - Neeraj Kumar; Ruchika Verma; Deepak Anand; Yanning Zhou; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen; Pheng-Ann Heng; Jiahui Li; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients - Zhenyu Tang; Yuyun Xu; Lei Jin; Abudumijiti Aibaidula; Junfeng Lu; Zhicheng Jiao; Jinsong Wu; Han Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

CT Male Pelvic Organ Segmentation via Hybrid Loss Network With Incomplete Annotation - Shuai Wang; Dong Nie; Liangqiong Qu; Yeqin Shao; Jun Lian; Qian Wang; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Deep Multi-Scale Mesh Feature Learning for Automated Labeling of Raw Dental Surfaces From 3D Intraoral Scanners - Chunfeng Lian; Li Wang; Tai-Hsien Wu; Fan Wang; Pew-Thian Yap; Ching-Chang Ko; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Guest Editorial: Special Issue on Imaging-Based Diagnosis of COVID-19 - Dinggang Shen; Yaozong Gao; Arrate Muñoz-Barrutia; Delia Cabrera DeBuc; Gennaro Percannella (IEEE Trans. Medical Imaging, 2020)

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia - Xi Ouyang; Jiayu Huo; Liming Xia; Fei Shan; Jun Liu; Zhanhao Mo; Fuhua Yan; Zhongxiang Ding; Qi Yang; Bin Song; Feng Shi; Huan Yuan; et al. (IEEE Trans. Medical Imaging, 2020)

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning - Hengyuan Kang; Liming Xia; Fuhua Yan; Zhibin Wan; Feng Shi; Huan Yuan; Huiting Jiang; Dijia Wu; He Sui; Changqing Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images - Shujun Liang; Kim-Han Thung; Dong Nie; Yu Zhang; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages - Yongsheng Pan; Mingxia Liu; Chunfeng Lian; Yong Xia; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Multi-Class ASD Classification Based on Functional Connectivity and Functional Correlation Tensor via Multi-Source Domain Adaptation and Multi-View Sparse Representation - Jun Wang; Lichi Zhang; Qian Wang; Lei Chen; Jun Shi; Xiaobo Chen; Zuoyong Li; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Xifeng Wang; Geng Chen; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Hierarchical Nonlocal Residual Networks for Image Quality Assessment of Pediatric Diffusion MRI With Limited and Noisy Annotations - Siyuan Liu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2020)

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages - Dan Hu; Han Zhang; Zhengwang Wu; Fan Wang; Li Wang; J. Keith Smith; Weili Lin; Gang Li; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis - Yinghuan Shi; Heung-Il Suk; Yang Gao; Seong-Whan Lee; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2020)

Non-Local U-Nets for Biomedical Image Segmentation - Zhengyang Wang; Na Zou; Dinggang Shen; Shuiwang Ji (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis - Bing Cao; Han Zhang; Nannan Wang; Xinbo Gao; Dinggang Shen (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Identifying patch-level MSI from histological images of Colorectal Cancer by a Knowledge Distillation Model - Jing Ke; Yiqing Shen; Jason D. Wright; Naifeng Jing; Xiaoyao Liang; Dinggang Shen (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020, 2020)

Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation - Tiexin Qin; Ziyuan Wang; Kelei He; Yinghuan Shi; Yang Gao; Dinggang Shen (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network - Jie Wei; Duc Toan Bui; Zhengwang Wu; Li Wang; Yong Xia; Gang Li; Dinggang Shen (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks - Toan Duc Bui; Li Wang; Weili Lin; Gang Li; Dinggang Shen (17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020, 2020)

Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI - Dongren Yao; Jing Sui; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease - Maryam Ghanbari; Li-Ming Hsu; Zhen Zhou; Amir Ghanbari; Zhanhao Mo; Pew-Thian Yap; Han Zhang; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images - Tong Li; Zhuochen Wang; Yanbo Chen; Lichi Zhang; Yaozong Gao; Feng Shi; Dahong Qian; Qian Wang; Dinggang Shen (Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy - Mayssa Soussia; Xuyun Wen; Zhen Zhou; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li; Li Wang; Islem Rekik; Weili Lin; Dinggang Shen; et al. (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains - Tao Zhong; Yu Zhang; Fenqiang Zhao; Yuchen Pei; Lufan Liao; Zhenyuan Ning; Li Wang; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data - Hao Guan; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu (Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts - Sahar Ahmad; Ye Wu; Khoi Minh Huynh; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting - Dan Hu; Fan Wang; Han Zhang; Zhengwang Wu; Li Wang; Weili Lin; Gang Li; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction - Shuo Chen; Shanhui Sun; Xiaoqian Huang; Dinggang Shen; Qian Wang; Shu Liao (Machine Learning for Medical Image Reconstruction - Third International Workshop, MLMIR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network - Hao Guan; Erkun Yang; Li Wang; Pew-Thian Yap; Mingxia Liu; Dinggang Shen (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences - Xiaodan Xing; Lili Jin; Qinfeng Li; Lei Chen; Zhong Xue; Ziwen Peng; Feng Shi; Dinggang Shen (Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features - Xin Zhang; Jiale Cheng; Hao Ni; Chenyang Li; Xiangmin Xu; Zhengwang Wu; Li Wang; Weili Lin; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization - Jintao Lu; Xi Ouyang; Tianjiao Liu; Dinggang Shen (Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Cascaded Networks for Thyroid Nodule Diagnosis from Ultrasound Images - Xueda Shen; Xi Ouyang; Tianjiao Liu; Dinggang Shen (Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings, 2020)

Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network - Feng Cheng; Yong Chen; Xiaopeng Zong; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

mr\(^2\)NST: Multi-resolution and Multi-reference Neural Style Transfer for Mammography - Sheng Wang; Jiayu Huo; Xi Ouyang; Jifei Che; Zhong Xue; Dinggang Shen; Qian Wang; Jie-Zhi Cheng (Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI - Zhenyuan Ning; Yu Zhang; Yongsheng Pan; Tao Zhong; Mingxia Liu; Dinggang Shen (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network - Dongdong Gu; Xiaohuan Cao; Shanshan Ma; Lei Chen; Guocai Liu; Dinggang Shen; Zhong Xue (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III, 2020)

Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment - Liyun Chen; Xiaohuan Cao; Lei Chen; Yaozong Gao; Dinggang Shen; Qian Wang; Zhong Xue (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III, 2020)

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search - Erkun Yang; Dongren Yao; Bing Cao; Hao Guan; Pew-Thian Yap; Dinggang Shen; Mingxia Liu (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part I, 2020)

A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency - Jiayu Huo; Liping Si; Xi Ouyang; Kai Xuan; Weiwu Yao; Zhong Xue; Qian Wang; Dinggang Shen; Lichi Zhang (Predictive Intelligence in Medicine - Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings, 2020)

Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints - Shunbo Hu; Lintao Zhang; Yan Xu; Dinggang Shen (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Construction of Spatiotemporal Infant Cortical Surface Functional Templates - Ying Huang; Fan Wang; Zhengwang Wu; Zengsi Chen; Han Zhang; Li Wang; Weili Lin; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer - Bin Xiao; Naying He; Qian Wang; Zhong Xue; Lei Chen; Fuhua Yan; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Tract Dictionary Learning for Fast and Robust Recognition of Fiber Bundles - Ye Wu; Yoonmi Hong; Sahar Ahmad; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Globally Optimized Super-Resolution of Diffusion MRI Data via Fiber Continuity - Ye Wu; Yoonmi Hong; Sahar Ahmad; Wei-Tang Chang; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Estimating Tissue Microstructure with Undersampled Diffusion Data via Graph Convolutional Neural Networks - Geng Chen; Yoonmi Hong; Yongqin Zhang; Jaeil Kim; Khoi Minh Huynh; Jiquan Ma; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging - Khoi Minh Huynh; Ye Wu; Kim-Han Thung; Sahar Ahmad; Hoyt Patrick Taylor IV; Dinggang Shen; Pew-Thian Yap (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Unsupervised Learning for Spherical Surface Registration - Fenqiang Zhao; Zhengwang Wu; Li Wang; Weili Lin; Shunren Xia; Dinggang Shen; Gang Li (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI - Yuchen Pei; Li Wang; Fenqiang Zhao; Tao Zhong; Lufan Liao; Dinggang Shen; Gang Li (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization - Songyao Zhang; Lei Du; Jinglei Lv; Zhibin He; Xi Jiang; Lei Guo; Li Wang; Tianming Liu; Dinggang Shen; Gang Li; Tuo Zhang (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning - Lufan Liao; Xin Zhang; Fenqiang Zhao; Tao Zhong; Yuchen Pei; Xiangmin Xu; Li Wang; He Zhang; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VI, 2020)

Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image - Xuanang Xu; Chunfeng Lian; Shuai Wang; Andrew Z. Wang; Trevor J. Royce; Ronald C. Chen; Jun Lian; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV, 2020)

Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling - Linlin Yao; Pengbo Jiang; Zhong Xue; Yiqiang Zhan; Dijia Wu; Lichi Zhang; Qian Wang; Feng Shi; Dinggang Shen (Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings, 2020)

Joint Neuroimage Synthesis and Representation Learning for Conversion Prediction of Subjective Cognitive Decline - Yunbi Liu; Yongsheng Pan; Wei Yang; Zhenyuan Ning; Ling Yue; Mingxia Liu; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation - Liangjun Chen; Zhengwang Wu; Dan Hu; Ya Wang; Zhanhao Mo; Li Wang; Weili Lin; Dinggang Shen; Gang Li (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part VII, 2020)

Generating Dual-Energy Subtraction Soft-Tissue Images from Chest Radiographs via Bone Edge-Guided GAN - Yunbi Liu; Mingxia Liu; Yuhua Xi; Genggeng Qin; Dinggang Shen; Wei Yang (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part II, 2020)

Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT - Chunfeng Lian; Fan Wang; Hannah H. Deng; Li Wang; Deqiang Xiao; Tianshu Kuang; Hung-Ying Lin; Jaime Gateno; Steve Guo-Fang Shen; Pew-Thian Yap; James J. Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV, 2020)

Automatic Localization of Landmarks in Craniomaxillofacial CBCT Images Using a Local Attention-Based Graph Convolution Network - Yankun Lang; Chunfeng Lian; Deqiang Xiao; Hannah H. Deng; Peng Yuan; Jaime Gateno; Steve Guo-Fang Shen; David M. Alfi; Pew-Thian Yap; James J. Xia; Dinggang Shen (Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part IV, 2020)

24 shells diffusion MRI (Version 1) - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Xifeng Wang; Geng Chen; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)
Accessed on YYYY-MM-DD.

24-shell diffusion MRI data (Version 2) - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Xifeng Wang; Geng Chen; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)
Accessed on YYYY-MM-DD.

24-shell diffusion MRI data (Version 3) - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Xifeng Wang; Geng Chen; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)
Accessed on YYYY-MM-DD.

24-shell diffusion MRI data (Version 4) - Khoi Minh Huynh; Tiantian Xu; Ye Wu; Xifeng Wang; Geng Chen; Haiyong Wu; Kim-Han Thung; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)
Accessed on YYYY-MM-DD.

Code used in article "Learning MRI artefact removal with unpaired data" (Version 3) - Siyuan Liu; Kim-Han Thung; Liangqiong Qu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Zenodo, 2020)
Accessed on YYYY-MM-DD.

Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation - Tiexin Qin; Ziyuan Wang; Kelei He; Yinghuan Shi; Yang Gao; Dinggang Shen (CoRR, 2020)

Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE) - Yoonmi Hong; Wei-Tang Chang; Geng Chen; Ye Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (CoRR, 2020)

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning - Fei Shan; Yaozong Gao; Jun Wang; Weiya Shi; Nannan Shi; Miaofei Han; Zhong Xue; Dinggang Shen; Yuxin Shi (CoRR, 2020)

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification - Feng Shi; Liming Xia; Fei Shan; Dijia Wu; Ying Wei; Huan Yuan; Huiting Jiang; Yaozong Gao; He Sui; Dinggang Shen (CoRR, 2020)

Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images - Zhenyu Tang; Wei Zhao; Xingzhi Xie; Zheng Zhong; Feng Shi; Jun Liu; Dinggang Shen (CoRR, 2020)

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 - Feng Shi; Jun Wang; Jun Shi; Ziyan Wu; Qian Wang; Zhenyu Tang; Kelei He; Yinghuan Shi; Dinggang Shen (CoRR, 2020)

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia - Xi Ouyang; Jiayu Huo; Liming Xia; Fei Shan; Jun Liu; Zhanhao Mo; Fuhua Yan; Zhongxiang Ding; Qi Yang; Bin Song; Feng Shi; Huan Yuan; et al. (CoRR, 2020)

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning - Hengyuan Kang; Liming Xia; Fuhua Yan; Zhibin Wan; Feng Shi; Huan Yuan; Huiting Jiang; Dijia Wu; He Sui; Changqing Zhang; Dinggang Shen (CoRR, 2020)

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT - Liang Sun; Zhanhao Mo; Fuhua Yan; Liming Xia; Fei Shan; Zhongxiang Ding; Wei Shao; Feng Shi; Huan Yuan; Huiting Jiang; Dijia Wu; Ying Wei; et al. (CoRR, 2020)

Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan - Xiaofeng Zhu; Bin Song; Feng Shi; Yanbo Chen; Rongyao Hu; Jiangzhang Gan; Wenhai Zhang; Man Li; Liye Wang; Yaozong Gao; Fei Shan; Dinggang Shen (CoRR, 2020)

Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images - Kelei He; Wei Zhao; Xingzhi Xie; Wen Ji; Mingxia Liu; Zhenyu Tang; Feng Shi; Yang Gao; Jun Liu; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Hypergraph Learning for Identification of COVID-19 with CT Imaging - Donglin Di; Feng Shi; Fuhua Yan; Liming Xia; Zhanhao Mo; Zhongxiang Ding; Fei Shan; Shengrui Li; Ying Wei; Ying Shao; Miaofei Han; Yaozong Gao; et al. (CoRR, 2020)

TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation - Kelei He; Chunfeng Lian; Ehsan Adeli; Jing Huo; Yinghuan Shi; Yang Gao; Bing Zhang; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

An Auto-Context Deformable Registration Network for Infant Brain MRI - Dongming Wei; Sahar Ahmad; Yunzhi Huang; Lei Ma; Qian Wang; Pew-Thian Yap; Dinggang Shen (CoRR, 2020)

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation - Kelei He; Chunfeng Lian; Bing Zhang; Xin Zhang; Xiaohuan Cao; Dong Nie; Yang Gao; Junfeng Zhang; Dinggang Shen (CoRR, 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge - Yue Sun; Kun Gao; Zhengwang Wu; Zhihao Lei; Ying Wei; Jun Ma; Xiaoping Yang; Xue Feng; Li Zhao; Trung Le Phan; Jitae Shin; Tao Zhong; et al. (CoRR, 2020)

Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective - Yinghuan Shi; Wanqi Yang; Kim-Han Thung; Hao Wang; Yang Gao; Yang Pan; Li Zhang; Dinggang Shen (CoRR, 2020)

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces - Peirong Liu; Zhengwang Wu; Gang Li; Pew-Thian Yap; Dinggang Shen (CoRR, 2020)

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy - Xuyun Wen; Li-Ming Hsu; Weili Lin; Han Zhang; Dinggang Shen (CoRR, 2020)

TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation - Lingming Zhang; Yue Zhao; Deyu Meng; Zhiming Cui; Chenqiang Gao; Xinbo Gao; Chunfeng Lian; Dinggang Shen (CoRR, 2020)

Enhancement of Perivascular Spaces Using Densely Connected Deep Convolutional Neural Network - Euijin Jung; Philip Chikontwe; Xiaopeng Zong; Weili Lin; Dinggang Shen; Sang Hyun Park (IEEE Access, 2019)

Hippocampal Segmentation From Longitudinal Infant Brain MR Images via Classification-Guided Boundary Regression - Yeqin Shao; Jaeil Kim; Yaozong Gao; Qian Wang; Weili Lin; Dinggang Shen (IEEE Access, 2019)

Deep feature descriptor based hierarchical dense matching for X-ray angiographic images - Jingfan Fan; Jian Yang; Yachen Wang; Siyuan Yang; Danni Ai; Yong Huang; Hong Song; Yongtian Wang; Dinggang Shen (Comput. Methods Programs Biomed., 2019)

Two-Phase Incremental Kernel PCA for Learning Massive or Online Datasets - Feng Zhao; Islem Rekik; Seong-Whan Lee; Jing Liu; Junying Zhang; Dinggang Shen (Complex., 2019)

Dilated Dense U-Net for Infant Hippocampus Subfield Segmentation - Hancan Zhu; Feng Shi; Li Wang; Sheng-Che Hung; Meng-Hsiang Chen; Shuai Wang; Weili Lin; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations - Sahar Ahmad; Jingfan Fan; Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Automatic brain labeling via multi-atlas guided fully convolutional networks - Longwei Fang; Lichi Zhang; Dong Nie; Xiaohuan Cao; Islem Rekik; Seong-Whan Lee; Huiguang He; Dinggang Shen (Medical Image Anal., 2019)

Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification - Yang Li; Jingyu Liu; Xinqiang Gao; Biao Jie; Minjeong Kim; Pew-Thian Yap; Chong-Yaw Wee; Dinggang Shen (Medical Image Anal., 2019)

Noise reduction in diffusion MRI using non-local self-similar information in joint x-q space - Geng Chen; Yafeng Wu; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data - Mingliang Wang; Daoqiang Zhang; Dinggang Shen; Mingxia Liu (Medical Image Anal., 2019)

CT male pelvic organ segmentation using fully convolutional networks with boundary sensitive representation - Shuai Wang; Kelei He; Dong Nie; Sihang Zhou; Yaozong Gao; Dinggang Shen (Medical Image Anal., 2019)

BIRNet: Brain image registration using dual-supervised fully convolutional networks - Jingfan Fan; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation - Yongqin Zhang; Pew-Thian Yap; Geng Chen; Weili Lin; Li Wang; Dinggang Shen (Medical Image Anal., 2019)

XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI - Geng Chen; Bin Dong; Yong Zhang; Weili Lin; Dinggang Shen; Pew-Thian Yap (Medical Image Anal., 2019)

Surface-constrained volumetric registration for the early developing brain - Sahar Ahmad; Zhengwang Wu; Gang Li; Li Wang; Weili Lin; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

Adversarial learning for mono- or multi-modal registration - Jingfan Fan; Xiaohuan Cao; Qian Wang; Pew-Thian Yap; Dinggang Shen (Medical Image Anal., 2019)

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks - Tianjiao Liu; Qianqian Guo; Chunfeng Lian; Xuhua Ren; Shujun Liang; Jing Yu; Lijuan Niu; Weidong Sun; Dinggang Shen (Medical Image Anal., 2019)

First-year development of modules and hubs in infant brain functional networks - Xuyun Wen; Han Zhang; Gang Li; Mingxia Liu; Weiyan Yin; Weili Lin; Jun Zhang; Dinggang Shen (NeuroImage, 2019)

Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications - Dingna Duan; Shunren Xia; Islem Rekik; Yu Meng; Zhengwang Wu; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (NeuroImage, 2019)

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts - Han Zhang; Dinggang Shen; Weili Lin (NeuroImage, 2019)

Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data - Ehsan Adeli; Yu Meng; Gang Li; Weili Lin; Dinggang Shen (NeuroImage, 2019)

The UNC/UMN Baby Connectome Project (BCP): An overview of the study design and protocol development - Brittany R. Howell; Martin A. Styner; Wei Gao; Pew-Thian Yap; Li Wang; Kristine Baluyot; Essa Yacoub; Geng Chen; Taylor Potts; Andrew P. Salzwedel; Gang Li; John H. Gilmore; et al. (NeuroImage, 2019)

Computational neuroanatomy of baby brains: A review - Gang Li; Li Wang; Pew-Thian Yap; Fan Wang; Zhengwang Wu; Yu Meng; Pei Dong; Jaeil Kim; Feng Shi; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network - Liang Sun; Daoqiang Zhang; Chunfeng Lian; Li Wang; Zhengwang Wu; Wei Shao; Weili Lin; Dinggang Shen; Gang Li (NeuroImage, 2019)

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment - Han Zhang; Panteleimon Giannakopoulos; Sven Haller; Seong-Whan Lee; Shijun Qiu; Dinggang Shen (Neuroinformatics, 2019)

Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises - Ehsan Adeli; Kim-Han Thung; Le An; Guorong Wu; Feng Shi; Tao Wang; Dinggang Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Late Fusion Incomplete Multi-View Clustering - Xinwang Liu; Xinzhong Zhu; Miaomiao Li; Lei Wang; Chang Tang; Jianping Yin; Dinggang Shen; Huaimin Wang; Wen Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Structured sparsity regularized multiple kernel learning for Alzheimer's disease diagnosis - Jialin Peng; Xiaofeng Zhu; Ye Wang; Le An; Dinggang Shen (Pattern Recognit., 2019)

Strength and similarity guided group-level brain functional network construction for MCI diagnosis - Yu Zhang; Han Zhang; Xiaobo Chen; Mingxia Liu; Xiaofeng Zhu; Seong-Whan Lee; Dinggang Shen (Pattern Recognit., 2019)

Weighted graph regularized sparse brain network construction for MCI identification - Renping Yu; Lishan Qiao; Mingming Chen; Seong-Whan Lee; Xuan Fei; Dinggang Shen (Pattern Recognit., 2019)

Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model - Tao Zhou; Kim-Han Thung; Mingxia Liu; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis - Mingxia Liu; Jun Zhang; Ehsan Adeli; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction - Lei Xiang; Yong Chen; Weitang Chang; Yiqiang Zhan; Weili Lin; Qian Wang; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration - Zhenyu Tang; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Biomed. Eng., 2019)

Longitudinally Guided Super-Resolution of Neonatal Brain Magnetic Resonance Images - Yongqin Zhang; Feng Shi; Jian Cheng; Li Wang; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Cybern., 2019)

3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation - Dong Nie; Li Wang; Ehsan Adeli; Cuijin Lao; Weili Lin; Dinggang Shen (IEEE Trans. Cybern., 2019)

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns - Jun Wang; Qian Wang; Han Zhang; Jiawei Chen; Shitong Wang; Dinggang Shen (IEEE Trans. Cybern., 2019)

A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases - Zhenyu Tang; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Image Process., 2019)

Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification - Yongsheng Pan; Yong Xia; Dinggang Shen (IEEE Trans. Image Process., 2019)

Guest Editorial Skin Lesion Image Analysis for Melanoma Detection - M. Emre Celebi; Noel Codella; Allan Halpern; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2019)

Machine Learning in Medical Imaging - Qian Wang; Yinghuan Shi; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2019)

Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph - Xuhua Ren; Tingting Li; Xiujun Yang; Shuai Wang; Sahar Ahmad; Lei Xiang; Shaun Richard Stone; Lihong Li; Yiqiang Zhan; Dinggang Shen; Qian Wang (IEEE J. Biomed. Health Informatics, 2019)

Functional Brain Network Estimation With Time Series Self-Scrubbing - Weikai Li; Lishan Qiao; Limei Zhang; Zhengxia Wang; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2019)

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks - Kelei He; Xiaohuan Cao; Yinghuan Shi; Dong Nie; Yang Gao; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning - Changqing Zhang; Ehsan Adeli; Zhengwang Wu; Gang Li; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis - Yan Wang; Luping Zhou; Biting Yu; Lei Wang; Chen Zu; David S. Lalush; Weili Lin; Xi Wu; Jiliu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Flexible Locally Weighted Penalized Regression With Applications on Prediction of Alzheimer's Disease Neuroimaging Initiative's Clinical Scores - Peiyao Wang; Yufeng Liu; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Multi-Site Harmonization of Diffusion MRI Data via Method of Moments - Khoi Minh Huynh; Geng Chen; Ye Wu; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge - Li Wang; Dong Nie; Guannan Li; Élodie Puybareau; Jose Dolz; Qian Zhang; Fan Wang; Jing Xia; Zhengwang Wu; Jiawei Chen; Kim-Han Thung; Toan Duc Bui; et al. (IEEE Trans. Medical Imaging, 2019)

Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting - Zhenghan Fang; Yong Chen; Mingxia Liu; Lei Xiang; Qian Zhang; Qian Wang; Weili Lin; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Latent Representation Learning for Alzheimer's Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data - Tao Zhou; Mingxia Liu; Kim-Han Thung; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks - Yoonmi Hong; Jaeil Kim; Geng Chen; Weili Lin; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2019)

Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space - Geng Chen; Bin Dong; Yong Zhang; Weili Lin; Dinggang Shen; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2019)

STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation - Dong Nie; Li Wang; Yaozong Gao; Jun Lian; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2019)

Group sparse reduced rank regression for neuroimaging genetic study - Xiaofeng Zhu; Heung-Il Suk; Dinggang Shen (World Wide Web, 2019)

Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification - Xiaofeng Zhu; Heung-Il Suk; Dinggang Shen (World Wide Web, 2019)

Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation - Dong Nie; Li Wang; Lei Xiang; Sihang Zhou; Ehsan Adeli; Dinggang Shen (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

Decoding EEG by Visual-guided Deep Neural Networks - Zhicheng Jiao; Haoxuan You; Fan Yang; Xin Li; Han Zhang; Dinggang Shen (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces - Peirong Liu; Zhengwang Wu; Gang Li; Pew-Thian Yap; Dinggang Shen (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

Asymmetry Spectrum Imaging for Baby Diffusion Tractography - Ye Wu; Weili Lin; Dinggang Shen; Pew-Thian Yap (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

Multifold Acceleration of Diffusion MRI via Deep Learning Reconstruction from Slice-Undersampled Data - Yoonmi Hong; Geng Chen; Pew-Thian Yap; Dinggang Shen (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

Spherical U-Net on Cortical Surfaces: Methods and Applications - Fenqiang Zhao; Shunren Xia; Zhengwang Wu; Dingna Duan; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Hong Kong, China, June 2-7, 2019, Proceedings, 2019)

Cortical Foldingprints for Infant Identification - Dingna Duan; Shunren Xia; Zhengwang Wu; Fan Wang; Li Wang; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Charting Development-Based Joint Parcellation Maps Of Human and Macaque Brains During Infancy - Jing Xia; Fan Wang; Zhengwang Wu; Li Wang; Yaping Wang; Caiming Zhang; Weili Lin; Dinggang Shen; Gang Li (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Construction of 4D Neonatal Cortical Surface Atlases Using Wasserstein Distance - Zengsi Chen; Zhengwang Wu; Liang Sun; Fan Wang; Li Wang; Fenqiang Zhao; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Frnet: Flattened Residual Network for Infant MRI Skull Stripping - Qian Zhang; Li Wang; Xiaopeng Zong; Weili Lin; Gang Li; Dinggang Shen (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

A Preliminary Volumetric MRI Study of Amygdala and Hippocampal Subfields in Autism During Infancy - Guannan Li; Meng-Hsiang Chen; Gang Li; Di Wu; Quan-Sen Sun; Dinggang Shen; Li Wang (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Hierarchical Representation For Ct Prostate Segmentation - Shuai Wang; Kelei He; Dong Nie; Sihang Zhou; Yaozong Gao; Dinggang Shen (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Spherical U-Net For Infant Cortical Surface Parcellation - Fenqiang Zhao; Shunren Xia; Zhengwang Wu; Li Wang; Zengsi Chen; Weili Lin; John H. Gilmore; Dinggang Shen; Gang Li (16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, April 8-11, 2019, 2019)

Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization - Xuhua Ren; Lichi Zhang; Dongming Wei; Dinggang Shen; Qian Wang (Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Adaptive Thresholding of Functional Connectivity Networks for fMRI-Based Brain Disease Analysis - Zhengdong Wang; Biao Jie; Weixin Bian; Daoqiang Zhang; Dinggang Shen; Mingxia Liu (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

Graph-Kernel-Based Multi-task Structured Feature Selection on Multi-level Functional Connectivity Networks for Brain Disease Classification - Zhengdong Wang; Biao Jie; Mi Wang; Chunxiang Feng; Wen Zhou; Dinggang Shen; Mingxia Liu (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)

cuRadiomics: A GPU-Based Radiomics Feature Extraction Toolkit - Yining Jiao; Oihane Mayo Ijurra; Lichi Zhang; Dinggang Shen; Qian Wang (Radiomics and Radiogenomics in Neuro-oncology - First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, Proceedings, 2019)

Progressive Infant Brain Connectivity Evolution Prediction from Neonatal MRI Using Bidirectionally Supervised Sample Selection - Olfa Ghribi; Gang Li; Weili Lin; Dinggang Shen; Islem Rekik (Predictive Intelligence in Medicine - Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings, 2019)

Triplet Graph Convolutional Network for Multi-scale Analysis of Functional Connectivity Using Functional MRI - Dongren Yao; Mingxia Liu; Mingliang Wang; Chunfeng Lian; Jie Wei; Li Sun; Jing Sui; Dinggang Shen (Graph Learning in Medical Imaging - First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings, 2019)