Name
Affiliation
Papers
HAN ZHANG
State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, PR China
25
Collaborators
Citations 
PageRank 
103
20
8.76
Referers 
Referees 
References 
122
470
113
Search Limit
100470
Title
Citations
PageRank
Year
Deep attentive spatio-temporal feature learning for automatic resting-state fMRI denoising00.342022
Divergent and Convergent Imaging Markers Between Bipolar and Unipolar Depression Based on Machine Learning00.342022
Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction00.342022
Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network00.342022
Auto-Gan: Self-Supervised Collaborative Learning For Medical Image Synthesis00.342020
Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.10.352020
Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.10.352020
Dynamic Routing Capsule Networks for Mild Cognitive Impairment Diagnosis00.342019
Decoding EEG by Visual-guided Deep Neural Networks.10.362019
Brain Network Construction and Classification Toolbox (BrainNetClass).00.342019
CoCa-GAN: Common-Feature-Learning-Based Context-Aware Generative Adversarial Network for Glioma Grading10.352019
Early Development of Infant Brain Complex Network00.342019
Deep Granular Feature-Label Distribution Learning for Neuroimaging-Based Infant Age Prediction00.342019
Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life00.342019
Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype00.342019
Identification of Abnormal Circuit Dynamics in Major Depressive Disorder via Multiscale Neural Modeling of Resting-State fMRI00.342019
A Novel Deep Learning Framework on Brain Functional Networks for Early MCI Diagnosis.10.352018
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patterns.00.342018
Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis.40.402018
Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.10.342018
Deep Chronnectome Learning via Full Bidirectional Long Short-Term Memory Networks for MCI Diagnosis.20.372018
Malignant Brain Tumor Classification Using the Random Forest Method.00.342018
Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.10.352018
Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.10.352017
Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy.60.462011