Yu Zhang

发表

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge pdf

M.N.S. Swamy, Jun Ma, M. Omair Ahmad, 2020, IEEE Transactions on Medical Imaging.

Interpretable Graph Convolutional Network Of Multi-Modality Brain Imaging For Alzheimer’s Disease Diagnosis

Li Shen, Houliang Zhou, Yu Zhang, 2022, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

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

Dinggang Shen, Han Zhang, Yu Zhang, 2017, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR).

Differential Bone Metabolism and Protein Expression in Mice Fed a High-Fat diet Versus Pre-Hibernation Fattening in Daurian Ground Squirrels: A Comparison Between Pathological and Healthy Obesity

K. Storey, Hui Chang, Xuli Gao, 2021 .

A toolbox for brain network construction and classification (BrainNetClass)

Dan Hu, Han Zhang, Gang Pan, 2019, Human brain mapping.

Representational learning of brain responses in executive function and higher-order cognition using deep graph convolutions

A. Dagher, P. Bellec, Nicolas Farrugia, 2021, bioRxiv.

Functional annotation of human cognitive states using deep graph convolution

Bertrand Thirion, Pierre Bellec, Yu Zhang, 2020, NeuroImage.

Title: Functional Annotation of Human Cognitive States using Deep Graph Convolution Running title: Brain decoding using graph convolutional networks

B. Thirion, Pierre Bellec, Yu Zhang, 2021 .

Transferability of Brain decoding using Graph Convolutional Networks

Pierre Bellec, Yu Zhang, Pierre Bellec, 2020, bioRxiv.

Brain Network Construction and Classification Toolbox (BrainNetClass)

D. Shen, Lishan Qiao, Han Zhang, 2019, ArXiv.

Test-Retest Reliability of “High-Order” Functional Connectivity in Young Healthy Adults

Dinggang Shen, Xiaobo Chen, Han Zhang, 2017, Front. Neurosci..

Dinggang Shen, Xiaofeng Zhu, Han Zhang, 2019, Pattern Recognit..

Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis

Seong-Whan Lee, Han Zhang, D. Shen, 2017, Scientific Reports.

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Dinggang Shen, M.N.S. Swamy, Jun Ma, 2020, IEEE Transactions on Medical Imaging.

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age

Gang Li, Li Wang, Zhengwang Wu, 2021, NeuroImage.

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

Dinggang Shen, Yu Zhang, Xiaobo Chen, 2017, CNI@MICCAI.

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

Mingxia Liu, Ehsan Adeli, Yu Zhang, 2020, IEEE Transactions on Cybernetics.

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI

Tao Zhong, Dinggang Shen, Mingxia Liu, 2020, MLMI@MICCAI.

Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis

Dinggang Shen, Han Zhang, Xiaobo Chen, 2017, Scientific Reports.

Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis

Xiaofeng Zhu, Mingxia Liu, Yu Zhang, 2017, MLMI@MICCAI.

Functional Annotation of Human Cognitive States using Graph Convolution Networks

Pierre Bellec, Yu Zhang, Pierre Bellec, 2019 .

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques

Tao Zhong, Gang Li, Fenqiang Zhao, 2020, NeuroImage.

Seong-Whan Lee, Han Zhang, D. Shen, 2019, Pattern Recognit..

Deep learning models of cognitive processes constrained by human brain connectomes

P. Bellec, Nicolas Farrugia, Yu Zhang, 2021, bioRxiv.

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains

Li Wang, Tao Zhong, Yu Zhang, 2020, MICCAI.