Han Zhang

According to our database, Han Zhang authored at least 72 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.

Minjoo Lim, Keun-Soo Heo, Junmo Kim, Bogyeong Kang, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam

IEEE J. Biomed. Health Informatics, April, 2024

2023

Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning.

Chaolin Li, Mianxin Liu, Jing Xia, Lang Mei, Qing Yang, Feng Shi, Han Zhang, Dinggang Shen

IEEE J. Biomed. Health Informatics, November, 2023

AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis.

Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen

Int. J. Comput. Vis., August, 2023

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction.

Renping Yu, Han Zhang, Xuehai Wu, Xuan Fei, Qing Yang, Zhiwei Ma, Zengxin Qi, Di Zang, Weijun Tang, Ying Mao, Dinggang Shen

IEEE J. Biomed. Health Informatics, 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, Han Zhang, Qian Wang, Dinggang Shen

CoRR, 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, Qing Yang, Fei Gao, Feng Shi, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint.

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, Dinggang Shen, Han Zhang

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.

Yuhang Sun, Jiameng Liu, Feihong Liu, Kaicong Sun, Han Zhang, Feng Shi, Qianjin Feng, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Identifying Alzheimer's Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks.

Feihong Liu, Yongsheng Pan, Junwei Yang, Fang Xie, Xiaowei He, Han Zhang, Feng Shi, Jun Feng, Qihao Guo, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Mining Fmri Dynamics with Parcellation Prior for Brain Disease Diagnosis.

Xiaozhao Liu, Mianxin Liu, Lang Mei, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.

Yu Li, Xin Zhang, Jingxin Nie, Guowei Zhang, Ruiyan Fang, Xiangmin Xu, Zhengwang Wu, Dan Hu, Li Wang, Han Zhang, Weili Lin, Gang Li

IEEE Trans. Medical Imaging, 2022

Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning.

Huifeng Zhang, Zhen Zhou, Lei Ding, Chuangxin Wu, Meihui Qiu, Yueqi Huang, Feng Jin, Ting Shen, Yao Yang, Li-Ming Hsu, Jinhong Wang, Han Zhang, Dinggang Shen, Daihui Peng

IEEE J. Biomed. Health Informatics, 2022

Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.

Yu Zhang, Han Zhang, Ehsan Adeli, Xiaobo Chen, Mingxia Liu, Dinggang Shen

IEEE Trans. Cybern., 2022

Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease.

Maryam Ghanbari, Zhen Zhou, Li-Ming Hsu, Ying Han, Yu Sun, Pew-Thian Yap, Han Zhang, Dinggang Shen

Neuroinformatics, 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, Dinggang Shen, Tae-Eui Kam

NeuroImage, 2022

Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.

Jun Wang, Fengyexin Zhang, Xiuyi Jia, Xin Wang, Han Zhang, Shihui Ying, Qian Wang, Jun Shi, Dinggang Shen

Medical Image Anal., 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, Zhanhao Mo, Qian Wang, Han Zhang, Dinggang Shen

Medical Image Anal., 2022

Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.

Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen

CoRR, 2022

Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.

Lang Mei, Mianxin Liu, Lingbin Bian, Yuyao Zhang, Feng Shi, Han Zhang, Dinggang Shen

Proceedings of the Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis, 2022

Seizure detection by brain-connectivity analysis using dynamic graph isomorphism network.

Tianli Tao, Liang-hu Guo, Qiang He, Han Zhang, Lin Xu

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis.

Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

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

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

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

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, Han Zhang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease.

Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

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

Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

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

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

Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.

Han Zhang, Dinggang Shen, Weili Lin

NeuroImage, 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

Brain Network Construction and Classification Toolbox (BrainNetClass).

Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen

CoRR, 2019

Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life.

Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Automated Parcellation of the Cortex Using Structural Connectome Harmonics.

Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap

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.

Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen

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.

Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 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, Yujie Liu, Koji Yamashita, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis.

Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Early Development of Infant Brain Complex Network.

Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen

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.

Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen

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.

Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 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, 2019

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, Han Zhang, Junfeng Lu, Kim-Han Thung, Abudumijiti Aibaidula, Luyan Liu, Songcan Chen, Lei Jin, Jinsong Wu, Qian Wang, LiangFu Zhou, Dinggang Shen

IEEE Trans. Medical Imaging, 2018

Spatiotemporal Analysis of Developing Brain Networks.

Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen

Frontiers Neuroinformatics, 2018

Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Comput. Medical Imaging Graph., 2018

Malignant Brain Tumor Classification Using the Random Forest Method.

Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns.

Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen

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.

Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen

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.

Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.

Tae-Eui Kam, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.

Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification.

Xiaobo Chen, Han Zhang, Seong-Whan Lee, Dinggang Shen

Neuroinformatics, 2017

Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.

Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment.

Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.

Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

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

Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Early Brain Functional Segregation and Integration Predict Later Cognitive Performance.

Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.

Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen

Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.

Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification.

Xiaobo Chen, Han Zhang, Yu Zhang, Zuoyong Li, Dinggang Shen

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

2016

Estimating functional brain networks by incorporating a modularity prior.

Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen

NeuroImage, 2016

Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.

Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification.

Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis.

Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients.

Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen

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.

Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen

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.

Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.

Xiaobo Chen, Han Zhang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016