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ORCIDHan Zhang 0002
Person information
- affiliation: University of North Carolina at Chapel Hill, Department of Radiology and BRIC, NC, USA
Other persons with the same name
- Han Zhang — disambiguation page
- Han Zhang 0001
![[0000-0002-6258-2486]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-6258-2486")
— Georgia Institute of Technology, College of Management, Atlanta, GA, USA (and 1 more) - Han Zhang 0003 — National Cancer Institute, Bethesda, MD, USA
- Han Zhang 0004 — Northwest University, Xi'an, China
- Han Zhang 0005 — Northwest Institute of Nuclear Technology, Xi'an, China
- Han Zhang 0006 — University of California at Davis, Department of Electrical and Computer Engineering, CA, USA
- Han Zhang 0007 — Nanjing University of Aeronautics and Astronautics, Department of Vehicle Engineering, China
- Han Zhang 0008 — Central South University, School of Information Science and Engineering, Changsha, China
- Han Zhang 0009 — Beihang University, School of Cyber Science and Technology, Beijing, China (and 1 more)
- Han Zhang 0010 — Google Brain (and 1 more)
- Han Zhang 0011 — South China Normal University, Department of Physics and Telecommunication Engineering, Guangzhou, China (and 1 more)
- Han Zhang 0012 — Northwestern Polytechnical University, OPTIMAL, Xi'an, China
- Han Zhang 0013 — State Grid Shanghai Shinan Electric Power Supply Company, Operation and Maintenance Department, China
- Han Zhang 0014 — Texas A&M University, College Station, TX, USA (and 1 more)
- Han Zhang 0015 — Information Engineering University, Zhengzhou, China
- Han Zhang 0016 — Second Institute of Oceanography, Hangzhou, China (and 1 more)
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2020 – today
- 2022
[j14]Keun-Soo Heo, Dong-Hee Shin, Sheng-Che Hung, Weili Lin, Han Zhang, Dinggang Shen, Tae-Eui Kam:
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising. NeuroImage 254: 119127 (2022)- 2021
- [c37]Mianxin Liu, Han Zhang, Feng Shi, Dinggang Shen:
Building Dynamic Hierarchical Brain Networks and Capturing Transient Meta-states for Early Mild Cognitive Impairment Diagnosis. MICCAI (7) 2021: 574-583 - 2020
- [j13]Tae-Eui Kam, Han Zhang, Zhicheng Jiao, Dinggang Shen:
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection. IEEE Trans. Medical Imaging 39(2): 478-487 (2020) - [j12]Zhenyu Tang, Yuyun Xu, Lei Jin, Abudumijiti Aibaidula, Junfeng Lu, Zhicheng Jiao, Jinsong Wu, Han Zhang, Dinggang Shen:
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Trans. Medical Imaging 39(6): 2100-2109 (2020) - [j11]Dan Hu, Han Zhang, Zhengwang Wu, Fan Wang, Li Wang, J. Keith Smith, Weili Lin, Gang Li, Dinggang Shen:
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages. IEEE Trans. Medical Imaging 39(12): 4137-4149 (2020) - [c36]Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen:
Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis. AAAI 2020: 10486-10493 - [c35]Maryam Ghanbari, Li-Ming Hsu, Zhen Zhou, Amir Ghanbari, Zhanhao Mo, Pew-Thian Yap, Han Zhang, Dinggang Shen:
A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer's Disease. MICCAI (7) 2020: 3-12 - [c34]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:
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy. MICCAI (7) 2020: 13-21 - [c33]Dan Hu, Fan Wang, Han Zhang, Zhengwang Wu, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting. MICCAI (7) 2020: 72-82 - [c32]Ying Huang, Fan Wang, Zhengwang Wu, Zengsi Chen, Han Zhang, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
Construction of Spatiotemporal Infant Cortical Surface Functional Templates. MICCAI (7) 2020: 238-248 - [i3]Xuyun Wen, Li-Ming Hsu, Weili Lin, Han Zhang, Dinggang Shen:
Co-evolution of Functional Brain Network at Multiple Scales during Early Infancy. CoRR abs/2009.06899 (2020)
2010 – 2019
- 2019
- [j10]Xuyun Wen, Han Zhang, Gang Li, Mingxia Liu, Weiyan Yin, Weili Lin, Jun Zhang, Dinggang Shen:
First-year development of modules and hubs in infant brain functional networks. NeuroImage 185: 222-235 (2019) - [j9]Han Zhang, Dinggang Shen, Weili Lin:
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts. NeuroImage 185: 664-684 (2019) - [j8]Han Zhang, Panteleimon Giannakopoulos, Sven Haller, Seong-Whan Lee, Shijun Qiu, Dinggang Shen:
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment. Neuroinformatics 17(4): 547-561 (2019) - [j7]Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Seong-Whan Lee, Dinggang Shen:
Strength and similarity guided group-level brain functional network construction for MCI diagnosis. Pattern Recognit. 88: 421-430 (2019) - [j6]Jun Wang, Qian Wang, Han Zhang, Jiawei Chen, Shitong Wang, Dinggang Shen:
Sparse Multiview Task-Centralized Ensemble Learning for ASD Diagnosis Based on Age- and Sex-Related Functional Connectivity Patterns. IEEE Trans. Cybern. 49(8): 3141-3154 (2019) - [c31]Zhicheng Jiao, Haoxuan You, Fan Yang, Xin Li, Han Zhang, Dinggang Shen:
Decoding EEG by Visual-guided Deep Neural Networks. IJCAI 2019: 1387-1393 - [c30]Dan Hu, Han Zhang, Zhengwang Wu, Weili Lin, Gang Li, Dinggang Shen:
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction. MICCAI (4) 2019: 149-157 - [c29]Pu Huang, Dengwang Li, Zhicheng Jiao, Dongming Wei, Guoshi Li, Qian Wang, Han Zhang, Dinggang Shen:
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading. MICCAI (3) 2019: 155-163 - [c28]Zhenyu Tang, Yuyun Xu, Zhicheng Jiao, Junfeng Lu, Lei Jin, Abudumijiti Aibaidula, Jinsong Wu, Qian Wang, Han Zhang, Dinggang Shen:
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. MICCAI (1) 2019: 415-422 - [c27]Hoyt Patrick Taylor IV, Zhengwang Wu, Ye Wu, Dinggang Shen, Han Zhang, Pew-Thian Yap:
Automated Parcellation of the Cortex Using Structural Connectome Harmonics. MICCAI (3) 2019: 475-483 - [c26]Zhicheng Jiao, Pu Huang, Tae-Eui Kam, Li-Ming Hsu, Ye Wu, Han Zhang, Dinggang Shen:
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis. MICCAI (4) 2019: 620-628 - [c25]Zhen Zhou, Han Zhang, Li-Ming Hsu, Weili Lin, Gang Pan, Dinggang Shen:
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life. MICCAI (3) 2019: 665-672 - [c24]Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen:
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI. MICCAI (3) 2019: 682-690 - [c23]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:
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI. MICCAI (3) 2019: 754-762 - [c22]Weixiong Jiang, Han Zhang, Li-Ming Hsu, Dan Hu, Guoshi Li, Ye Wu, Dinggang Shen:
Early Development of Infant Brain Complex Network. MICCAI (2) 2019: 832-840 - [i2]Zhen Zhou, Xiaobo Chen, Yu Zhang, Lishan Qiao, Renping Yu, Gang Pan, Han Zhang, Dinggang Shen:
Brain Network Construction and Classification Toolbox (BrainNetClass). CoRR abs/1906.09908 (2019) - 2018
- [j5]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection. Comput. Medical Imaging Graph. 67: 21-29 (2018) - [j4]Ping He, Xiaohua Xu, Han Zhang, Gang Li, Jingxin Nie, Pew-Thian Yap, Dinggang Shen:
Spatiotemporal Analysis of Developing Brain Networks. Frontiers Neuroinformatics 12: 48 (2018) - [j3]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:
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 37(8): 1775-1787 (2018) - [c21]Han Zhang, Natalie Stanley, Peter J. Mucha, Weiyan Yin, Weili Lin, Dinggang Shen:
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns. MICCAI (3) 2018: 136-144 - [c20]Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen:
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. MLMI@MICCAI 2018: 233-240 - [c19]Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. MICCAI (3) 2018: 249-257 - [c18]Tae-Eui Kam, Han Zhang, Dinggang Shen:
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis. MICCAI (3) 2018: 293-301 - [c17]Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen:
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. MICCAI (3) 2018: 411-419 - [c16]Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen:
Malignant Brain Tumor Classification Using the Random Forest Method. S+SSPR 2018: 14-21 - [i1]Weizheng Yan, Han Zhang, Jing Sui, Dinggang Shen:
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis. CoRR abs/1808.10383 (2018) - 2017
- [j2]Xiaobo Chen, Han Zhang, Seong-Whan Lee, Dinggang Shen:
Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. Neuroinformatics 15(3): 271-284 (2017) - [c15]Xiaobo Chen, Han Zhang, Yu Zhang, Zuoyong Li, Dinggang Shen:
Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification. ACPR 2017: 917-922 - [c14]Yu Zhang, Han Zhang, Xiaobo Chen, Dinggang Shen:
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment. CNI@MICCAI 2017: 9-16 - [c13]Xiuyi Jia, Han Zhang, Ehsan Adeli, Dinggang Shen:
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network. CNI@MICCAI 2017: 17-24 - [c12]Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. Patch-MI@MICCAI 2017: 65-73 - [c11]Han Zhang, Weiyan Yin, Weili Lin, Dinggang Shen:
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance. CNI@MICCAI 2017: 116-124 - [c10]Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen:
Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis. MLMI@MICCAI 2017: 168-175 - [c9]Yujia Zhou, Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, Dinggang Shen:
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors. MICCAI (1) 2017: 416-423 - [c8]Lei Chen, Han Zhang, Kim-Han Thung, Luyan Liu, Junfeng Lu, Jinsong Wu, Qian Wang, Dinggang Shen:
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients. MICCAI (2) 2017: 450-458 - 2016
- [j1]Lishan Qiao, Han Zhang, Minjeong Kim, Shenghua Teng, Limei Zhang, Dinggang Shen:
Estimating functional brain networks by incorporating a modularity prior. NeuroImage 141: 399-407 (2016) - [c7]Luyan Liu, Qian Wang, Ehsan Adeli, Lichi Zhang, Han Zhang, Dinggang Shen:
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease. MICCAI (2) 2016: 1-8 - [c6]Xiaobo Chen, Han Zhang, Dinggang Shen:
Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification. MICCAI (2) 2016: 18-25 - [c5]Luyan Liu, Han Zhang, Islem Rekik, Xiaobo Chen, Qian Wang, Dinggang Shen:
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks. MICCAI (2) 2016: 26-34 - [c4]Renping Yu, Han Zhang, Le An, Xiaobo Chen, Zhihui Wei, Dinggang Shen:
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification. MICCAI (1) 2016: 37-45 - [c3]Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu:
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. MICCAI (1) 2016: 106-114 - [c2]Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen:
3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2016: 212-220 - [c1]Xi Yang, Yan Jin, Xiaobo Chen, Han Zhang, Gang Li, Dinggang Shen:
Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis. MLMI@MICCAI 2016: 246-253
Coauthor Index
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