Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification. - Xiaobo Chen 001; Han Zhang 002; Dinggang Shen (MICCAI (2), 2016)

Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (MICCAI (2), 2016)

Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. - Luyan Liu; Han Zhang 002; Islem Rekik; Xiaobo Chen 001; Qian Wang 001; Dinggang Shen (MICCAI (2), 2016)

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. - Dong Nie; Han Zhang 002; Ehsan Adeli 001; Luyan Liu; Dinggang Shen (MICCAI (2), 2016)

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. - Xi Yang; Yan Jin 001; Xiaobo Chen 001; Han Zhang 002; Gang Li 001; Dinggang Shen (MLMI@MICCAI, 2016)

Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. - Renping Yu; Han Zhang 002; Le An; Xiaobo Chen 001; Zhihui Wei; Dinggang Shen (MICCAI (1), 2016)

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. - Yingying Zhu 004; Xiaofeng Zhu 001; Han Zhang 002; Wei Gao; Dinggang Shen; Guorong Wu 001 (MICCAI (1), 2016)

Estimating functional brain networks by incorporating a modularity prior. - Lishan Qiao; Han Zhang 002; Minjeong Kim; Shenghua Teng; Limei Zhang; Dinggang Shen (NeuroImage, 2016)

Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification. - Xiaobo Chen 001; Han Zhang 002; Yu Zhang 009; Zuoyong Li; Dinggang Shen (ACPR, 2017)

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. - Lei Chen 011; Han Zhang 002; Kim-Han Thung; Luyan Liu; Junfeng Lu; Jinsong Wu 002; Qian Wang 001; Dinggang Shen (MICCAI (2), 2017)

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. - Xiuyi Jia; Han Zhang 002; Ehsan Adeli 001; Dinggang Shen (CNI@MICCAI, 2017)

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. - Han Zhang 002; Weiyan Yin; Weili Lin; Dinggang Shen (CNI@MICCAI, 2017)

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. - Yu Zhang 009; Han Zhang 002; Xiaobo Chen 001; Mingxia Liu 001; Xiaofeng Zhu 001; Dinggang Shen (MLMI@MICCAI, 2017)

Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment. - Yu Zhang 009; Han Zhang 002; Xiaobo Chen 001; Dinggang Shen (CNI@MICCAI, 2017)

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. - Lichi Zhang; Han Zhang 002; Xiaobo Chen 001; Qian Wang 001; Pew-Thian Yap; Dinggang Shen (Patch-MI@MICCAI, 2017)

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. - Yujia Zhou 001; Pew-Thian Yap; Han Zhang 002; Lichi Zhang; Qianjin Feng; Dinggang Shen (MICCAI (1), 2017)

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. - Xiaobo Chen 001; Han Zhang 002; Seong-Whan Lee; Dinggang Shen (Neuroinformatics, 2017)

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. - Jiawei Chen 001; Han Zhang 002; Dong Nie; Li Wang 026; Gang Li 001; Weili Lin; Dinggang Shen (MLMI@MICCAI, 2018)

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. - Tae-Eui Kam; Han Zhang 002; Dinggang Shen (MICCAI (3), 2018)

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. - Li Wang 026; Gang Li 001; Feng Shi 001; Xiaohuan Cao; Chunfeng Lian; Dong Nie; Mingxia Liu 001; Han Zhang 002; Guannan Li; Zhengwang Wu; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. - Weizheng Yan; Han Zhang 002; Jing Sui; Dinggang Shen (MICCAI (3), 2018)

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. - Han Zhang 002; Natalie Stanley; Peter J. Mucha; Weiyan Yin; Weili Lin; Dinggang Shen (MICCAI (3), 2018)

Malignant Brain Tumor Classification Using the Random Forest Method. - Lichi Zhang; Han Zhang 002; Islem Rekik; Yaozong Gao; Qian Wang 001; Dinggang Shen (S+SSPR, 2018)

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. - Luyan Liu; Qian Wang 001; Ehsan Adeli 001; Lichi Zhang; Han Zhang 002; Dinggang Shen (Comput. Medical Imaging Graph., 2018)

Spatiotemporal Analysis of Developing Brain Networks. - Ping He 001; Xiaohua Xu 001; Han Zhang 002; Gang Li 001; Jingxin Nie; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 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. - Lei Chen 011; Han Zhang 002; Junfeng Lu; Kim-Han Thung; Abudumijiti Aibaidula; Luyan Liu; Songcan Chen; Lei Jin 006; Jinsong Wu 002; Qian Wang 001; LiangFu Zhou; Dinggang Shen (IEEE Trans. Medical Imaging, 2018)

Decoding EEG by Visual-guided Deep Neural Networks. - Zhicheng Jiao; Haoxuan You; Fan Yang 054; Xin Li 079; Han Zhang 002; Dinggang Shen (IJCAI, 2019)

Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. - Dan Hu; Han Zhang 002; Zhengwang Wu; Weili Lin; Gang Li 001; Dinggang Shen (MICCAI (4), 2019)

CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Guoshi Li; Qian Wang 001; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Early Development of Infant Brain Complex Network. - Weixiong Jiang; Han Zhang 002; Li-Ming Hsu; Dan Hu; Guoshi Li; Ye Wu 001; Dinggang Shen (MICCAI (2), 2019)

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. - Zhicheng Jiao; Pu Huang; Tae-Eui Kam; Li-Ming Hsu; Ye Wu 001; Han Zhang 002; Dinggang Shen (MICCAI (4), 2019)

A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. - Tae-Eui Kam; Xuyun Wen; Bing Jin; Zhicheng Jiao; Li-Ming Hsu; Zhen Zhou 004; Yujie Liu; Koji Yamashita; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. - Guoshi Li; Yujie Liu; Yanting Zheng; Ye Wu 001; Pew-Thian Yap; Shijun Qiu; Han Zhang 002; Dinggang Shen (MICCAI (3), 2019)

Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. - Zhenyu Tang 002; Yuyun Xu; Zhicheng Jiao; Junfeng Lu; Lei Jin 006; Abudumijiti Aibaidula; Jinsong Wu 002; Qian Wang 001; Han Zhang 002; Dinggang Shen (MICCAI (1), 2019)

Automated Parcellation of the Cortex Using Structural Connectome Harmonics. - Hoyt Patrick Taylor IV; Zhengwang Wu; Ye Wu 001; Dinggang Shen; Han Zhang 002; Pew-Thian Yap (MICCAI (3), 2019)

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. - Zhen Zhou 004; Han Zhang 002; Li-Ming Hsu; Weili Lin; Gang Pan 001; Dinggang Shen (MICCAI (3), 2019)

Brain Network Construction and Classification Toolbox (BrainNetClass). - Zhen Zhou 004; Xiaobo Chen 001; Yu Zhang 009; Lishan Qiao; Renping Yu; Gang Pan 001; Han Zhang 002; Dinggang Shen (CoRR, 2019)

First-year development of modules and hubs in infant brain functional networks. - Xuyun Wen; Han Zhang 002; Gang Li 001; Mingxia Liu 001; Weiyan Yin; Weili Lin; Jun Zhang 003; Dinggang Shen (NeuroImage, 2019)

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. - Han Zhang 002; Dinggang Shen; Weili Lin (NeuroImage, 2019)

Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. - Han Zhang 002; Panteleimon Giannakopoulos; Sven Haller; Seong-Whan Lee; Shijun Qiu; Dinggang Shen (Neuroinformatics, 2019)

Strength and similarity guided group-level brain functional network construction for MCI diagnosis. - Yu Zhang 009; Han Zhang 002; Xiaobo Chen 001; Mingxia Liu 001; Xiaofeng Zhu 001; Seong-Whan Lee; Dinggang Shen (Pattern Recognit., 2019)

Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. - Jun Wang 024; Qian Wang 001; Han Zhang 002; Jiawei Chen 001; Shitong Wang 001; Dinggang Shen (IEEE Trans. Cybern., 2019)

Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. - Bing Cao 002; Han Zhang 002; Nannan Wang 001; Xinbo Gao 001; Dinggang Shen (AAAI, 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 004; Amir Ghanbari; Zhanhao Mo; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (MICCAI (7), 2020)

Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. - Dan Hu; Fan Wang 023; Han Zhang 002; Zhengwang Wu; Li Wang 026; Weili Lin; Gang Li 001; Dinggang Shen (MICCAI (7), 2020)

Construction of Spatiotemporal Infant Cortical Surface Functional Templates. - Ying Huang 007; Fan Wang 023; Zhengwang Wu; Zengsi Chen; Han Zhang 002; Li Wang 026; Weili Lin; Dinggang Shen; Gang Li 001 (MICCAI (7), 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 004; Bing Jin; Tae-Eui Kam; Li-Ming Hsu; Zhengwang Wu; Gang Li 001; Li Wang 026; Islem Rekik; Weili Lin; Dinggang Shen; et al. (MICCAI (7), 2020)

Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. - Xuyun Wen; Li-Ming Hsu; Weili Lin; Han Zhang 002; Dinggang Shen (CoRR, 2020)

Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. - Dan Hu; Han Zhang 002; Zhengwang Wu; Fan Wang 023; Li Wang 026; J. Keith Smith; Weili Lin; Gang Li 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. - Tae-Eui Kam; Han Zhang 002; Zhicheng Jiao; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. - Zhenyu Tang 002; Yuyun Xu; Lei Jin 006; Abudumijiti Aibaidula; Junfeng Lu; Zhicheng Jiao; Jinsong Wu 002; Han Zhang 002; Dinggang Shen (IEEE Trans. Medical Imaging, 2020)

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (MICCAI (7), 2021)

Seizure detection by brain-connectivity analysis using dynamic graph isomorphism network. - Tianli Tao; Liang-hu Guo; Qiang He; Han Zhang 002; Lin Xu (EMBC, 2022)

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis. - Lang Mei; Mianxin Liu; Lingbin Bian; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISGIE/GRAIL@MICCAI, 2022)

Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network. - Pu Huang; Dengwang Li; Zhicheng Jiao; Dongming Wei; Bing Cao 002; Zhanhao Mo; Qian Wang 001; Han Zhang 002; Dinggang Shen (Medical Image Anal., 2022)

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition. - Jun Wang 024; Fengyexin Zhang; Xiuyi Jia; Xin Wang 084; Han Zhang 002; Shihui Ying; Qian Wang 001; Jun Shi 004; Dinggang Shen (Medical Image Anal., 2022)

Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. - Keun-Soo Heo; Dong-Hee Shin; Sheng-Che Hung; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (NeuroImage, 2022)

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease. - Maryam Ghanbari; Zhen Zhou 004; Li-Ming Hsu; Ying Han; Yu Sun; Pew-Thian Yap; Han Zhang 002; Dinggang Shen (Neuroinformatics, 2022)

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis. - Yu Zhang 009; Han Zhang 002; Ehsan Adeli 001; Xiaobo Chen 001; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Cybern., 2022)

Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning. - Huifeng Zhang; Zhen Zhou 004; Lei Ding; Chuangxin Wu; Meihui Qiu; Yueqi Huang; Feng Jin; Ting Shen; Yao Yang; Li-Ming Hsu; Jinhong Wang; Han Zhang 002; et al. (IEEE J. Biomed. Health Informatics, 2022)

Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction. - Yu Li 043; Xin Zhang 013; Jingxin Nie; Guowei Zhang; Ruiyan Fang; Xiangmin Xu; Zhengwang Wu; Dan Hu; Li Wang 026; Han Zhang 002; Weili Lin; Gang Li 001 (IEEE Trans. Medical Imaging, 2022)

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis. - Xiaozhao Liu; Mianxin Liu; Lang Mei; Yuyao Zhang; Feng Shi 001; Han Zhang 002; Dinggang Shen (ISBI, 2023)

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks. - Feihong Liu; Yongsheng Pan; Junwei Yang; Fang Xie; Xiaowei He; Han Zhang 002; Feng Shi 001; Jun Feng 003; Qihao Guo; Dinggang Shen (MLMI@MICCAI (2), 2023)

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. - Yuhang Sun; Jiameng Liu; Feihong Liu; Kaicong Sun; Han Zhang 002; Feng Shi 001; Qianjin Feng; Dinggang Shen (MLMI@MICCAI (1), 2023)

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint. - Tianli Tao; Jiawei Huang; Feihong Liu; Mianxin Liu; Liang-hu Guo; Xinyi Cai; Zhuoyang Gu; Haifeng Tang; Rui Zhou; Siyan Han; Lixuan Zhu; Qing Yang; et al. (MLMI@MICCAI (2), 2023)

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. - Nan Zhao; Yongsheng Pan; Kaicong Sun; Yuning Gu; Mianxin Liu; Zhong Xue; Han Zhang 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks. - Mianxin Liu; Jingyang Zhang; Yao Wang; Yan Zhou; Fang Xie; Qihao Guo; Feng Shi 001; Han Zhang 002; Qian Wang 001; Dinggang Shen (CoRR, 2023)

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. - Renping Yu; Han Zhang 002; Xuehai Wu; Xuan Fei; Qing Yang; Zhiwei Ma; Zengxin Qi; Di Zang; Weijun Tang; Ying Mao 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis. - Bing Cao 002; Zhiwei Bi; Qinghua Hu; Han Zhang 002; Nannan Wang 001; Xinbo Gao 001; Dinggang Shen (Int. J. Comput. Vis., 2023)

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning. - Chaolin Li; Mianxin Liu; Jing Xia; Lang Mei; Qing Yang; Feng Shi 001; Han Zhang 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Semantic Mapping and Reconstruction from Brain Activation to Natural Images Using LDM and LLM. - Han Zhang 002; Xiao Li; Yaonai Wei; Chenjie Jia; Qitai Sun; Xiaowei He; Yudan Ren; Tuo Zhang (ICONIP (4), 2024)

Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion. - Lianghu Guo; Tianli Tao; Xinyi Cai; Zihao Zhu; Jiawei Huang; Lixuan Zhu; Zhuoyang Gu; Haifeng Tang; Rui Zhou; Siyan Han; Yan Liang; Qing Yang; et al. (ISBI, 2024)

Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model. - Zhongrui Huang; Caiwen Jiang; Jinchen Gu; Xinyi Cai; Han Zhang 002; Feihong Liu; Dinggang Shen (ISBI, 2024)

3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration. - Qitai Sun; Xiao Li; Han Zhang 002; Chenjie Jia; Xiaowei He; Tuo Zhang; Yudan Ren (ISBI, 2024)

WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. - Pengcheng Xue; Dong Nie; Meijiao Zhu; Ming Yang; Han Zhang 002; Daoqiang Zhang; Xuyun Wen (MICCAI (11), 2024)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. - Zihao Zhu; Tianli Tao; Yitian Tao; Haowen Deng; Xinyi Cai; Gaofeng Wu; Kaidong Wang; Haifeng Tang; Lixuan Zhu; Zhuoyang Gu; Dinggang Shen; Han Zhang 002 (MICCAI (2), 2024)

LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion. - Zihao Zhu; Tianli Tao; Yitian Tao; Haowen Deng; Xinyi Cai; Gaofeng Wu; Kaidong Wang; Haifeng Tang; Lixuan Zhu; Zhuoyang Gu; Jiawei Huang; Dinggang Shen; et al. (CoRR, 2024)

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising. - Minjoo Lim; Keun-Soo Heo; Jun-Mo Kim 001; Bogyeong Kang; Weili Lin; Han Zhang 002; Dinggang Shen; Tae-Eui Kam (IEEE J. Biomed. Health Informatics, 2024)

Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation. - Yitian Tao; Liyan Ma; Jing Yu 007; Han Zhang 002 (IEEE J. Biomed. Health Informatics, 2024)

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity. - Mianxin Liu; Han Zhang 002; Feng Shi 001; Dinggang Shen (IEEE Trans. Neural Networks Learn. Syst., 2024)

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction. - Yitao Zhu; Sheng Wang 014; Mengjie Xu; Zixu Zhuang; Zhixin Wang; Kaidong Wang; Han Zhang 002; Qian Wang 001 (AAAI, 2025)

MITracker: Multi-View Integration for Visual Object Tracking. - Mengjie Xu; Yitao Zhu; Haotian Jiang; Jiaming Li; Zhenrong Shen 001; Sheng Wang 014; Haolin Huang; Xinyu Wang; Han Zhang 002; Qing Yang; Qian Wang 001 (CVPR, 2025)

SEE: Semantically Aligned EEG-to-Text Translation. - Yitian Tao; Yan Liang; Luoyu Wang; Yongqing Li; Qing Yang; Han Zhang 002 (ICASSP, 2025)

Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks. - Luoyu Wang; Yitian Tao; Qing Yang; Yan Liang; Siwei Liu 013; Hongcheng Shi; Dinggang Shen; Han Zhang 002 (ICASSP, 2025)

Longitudinal Image Synthesis for Early Brain Development with Age Awareness. - Yu Fang; Honglin Xiong; Jiawei Huang; Xin Wang 084; Zhenrong Shen 001; Feihong Liu; Xinyi Cai; Han Zhang 002; Qian Wang 001 (ISBI, 2025)

Predicting Future Cognitive Development Using Past Brain FMRI with Spatiotemporal Graph Transformers Guided by Prior Information. - Gaofeng Wu; Weijia Zhang; Zihao Zhu; Xinyi Cai; Yuxuan Hu; Tianli Tao; Luoyu Wang; Yitian Tao; Haifeng Tang; Han Zhang 002 (ISBI, 2025)

SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging. - Yuxuan Liu; Kaicong Sun; Haikun Qi; Junwei Yang; Xiaopeng Zong; Yongsheng Pan; Yuning Gu; Sifan He; Han Zhang 002; Yu Zhang 009; Dinggang Shen (IEEE Trans. Biomed. Eng., 2025)

Multi-task dynamic graph learning for brain disorder identification with functional MRI. - Yunling Ma; Chaojun Zhang; Di Xiong; Han Zhang 002; Shihui Ying (Pattern Recognit., 2026)