Han Zhang
Orcid: 0000-0002-6645-8810Affiliations:
- ShanghaiTech University, School of Biomedical Engineering, Shanghai, China
- University of North Carolina at Chapel Hill, Department of Radiology and BRIC, Chapel Hill, NC, USA
According to our database1,
Han Zhang
authored at least 82 papers
between 2016 and 2024.
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Bibliography
2024
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
IEEE J. Biomed. Health Informatics, July, 2024
A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion.
CoRR, 2024
Revolutionizing Disease Diagnosis with simultaneous functional PET/MR and Deeply Integrated Brain Metabolic, Hemodynamic, and Perfusion Networks.
CoRR, 2024
CoRR, 2024
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
3D-Guided Backward Iterative Structural Refinement for Histology-to-MRI Registration.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Accelerating DWI Data Acquisition: Reconstruction Using Graph-Driven Denoising Diffusion Probabilistic Model.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Cas-DiffCom: Cascaded Diffusion Model for Infant Longitudinal Super-Resolution 3D Medical Image Completion.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
IEEE J. Biomed. Health Informatics, November, 2023
Int. J. Comput. Vis., August, 2023
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction.
IEEE J. Biomed. Health Informatics, 2023
Deep learning reveals the common spectrum underlying multiple brain disorders in youth and elders from brain functional networks.
CoRR, 2023
Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
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.
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.
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.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
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.
IEEE Trans. Medical Imaging, 2022
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning.
IEEE J. Biomed. Health Informatics, 2022
Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis.
IEEE Trans. Cybern., 2022
Altered Connectedness of the Brain Chronnectome During the Progression to Alzheimer's Disease.
Neuroinformatics, 2022
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising.
NeuroImage, 2022
Multi-Class ASD Classification via Label Distribution Learning with Class-Shared and Class-Specific Decomposition.
Medical Image Anal., 2022
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
Medical Image Anal., 2022
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis.
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.
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.
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.
IEEE Trans. Medical Imaging, 2020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.
IEEE Trans. Medical Imaging, 2020
Disentangled-Multimodal Adversarial Autoencoder: Application to Infant Age Prediction With Incomplete Multimodal Neuroimages.
IEEE Trans. Medical Imaging, 2020
CoRR, 2020
A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
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.
IEEE Trans. Cybern., 2019
Strength and similarity guided group-level brain functional network construction for MCI diagnosis.
Pattern Recognit., 2019
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment.
Neuroinformatics, 2019
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.
NeuroImage, 2019
NeuroImage, 2019
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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.
IEEE Trans. Medical Imaging, 2018
Frontiers Neuroinformatics, 2018
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Comput. Medical Imaging Graph., 2018
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network.
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.
Neuroinformatics, 2017
Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors.
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.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Constructing Multi-frequency High-Order Functional Connectivity Network for Diagnosis of Mild Cognitive Impairment.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
Early Brain Functional Segregation and Integration Predict Later Cognitive Performance.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017
Consciousness Level and Recovery Outcome Prediction Using High-Order Brain Functional Connectivity Network.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Learning Pairwise-Similarity Guided Sparse Functional Connectivity Network for MCI Classification.
Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017
2016
NeuroImage, 2016
Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
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.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Outcome Prediction for Patient with High-Grade Gliomas from Brain Functional and Structural Networks.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Feature Selection Based on Iterative Canonical Correlation Analysis for Automatic Diagnosis of Parkinson's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Ensemble Hierarchical High-Order Functional Connectivity Networks for MCI Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016