|
|
Yanwu Yang (杨延武)
yangyanwu1111@gmail.com
I am now a PhD candidate studying in Harbin Institute of Technology at Shenzhen, as well as an intern in Peng Cheng National Lab. My interests are in medical image processing, brain networks for diagnosis, and neuroscience studies.
I am now studying on large-scale preclinical diagnosis and screening, involving more than 50,000 subjects with T1w and fMRI. Collaborate with us and feel free to contact me.
Google Scholar
Github
|
News
Research
|
CReg-KD: Model Refinement via Confidence Regularized Knowledge Distillation for Brain Imaging
Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, and Ting Ma*
Medical Image Analysis (MedIA), 2023.
Paper /
Code
|
|
Mapping Multi-modal Brain Connectome for Brain Disorder Diagnosis via Cross-modal Mutual Learning
Yanwu Yang, Chenfei Ye, Xutao Guo, Tao Wu, Yang Xiang*, and Ting Ma*
IEEE Transactions on Medical Imaging (TMI), 2023.
Paper /
Code
|
|
Incomplete Learning of Multimodal Connectome for Brain Disorder Diagnosis via Modal-mixup and Deep Supervision
Yanwu Yang, Hairui Chen, Zhikai Chang, Yang Xiang, Chenfei Ye*, and Ting Ma*
International Conference on Medical Imaging with Deep Learning, MIDL, 2023.
Paper
Code
|
|
A Deep Connectome Learning Network Using Graph Convolution for Connectome-disease Association Study
Yanwu Yang, Chenfei Ye, and Ting Ma*
Neural Networks (NN), 2023.
Paper
|
|
Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal Brain Networks
Yanwu Yang, Guoqing Cai, Chenfei Ye, Yang Xiang*, and Ting Ma*
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, 2022.
Paper
|
|
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification
Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang*, and Ting Ma*
IEEE International Conference on Bioinformatics and Biomedicine, (BIBM), 2021.
Paper
|
|
Regularizing Brain Age Prediction via Gated Knowledge Distillation
Yanwu Yang, Xutao Guo, Chenfei Ye, Yang Xiang*, and Ting Ma*
International Conference on Medical Imaging with Deep Learning, MIDL, 2022.
Paper /
Code
|
|
Brain Age Vector: A Measure of Brain Aging with Enhanced Neurodegenerative Disorder Specificity
Chen Ran, Yanwu Yang, Chenfei Ye, Haiyan Lv, and Ting Ma*
Human Brain Mapping, 2022.
Paper
|
|
Estimating Brain Age with Global and Local Dependencies
Yanwu Yang, Xutao Guo, Zhikai Chang, Chenfei Ye, Yang Xiang, Haiyan Lv, and Ting Ma*
IEEE International Conference on Image Processing, (ICIP), 2022.
Paper
|
|
Alteration of Brain Structural Connectivity in Progression of Parkinson's Disease: A Connectome-wide Network Analysis
Yanwu Yang, Chenfei Ye, Junyan Sun, Li Liang, Haiyan Lv, Linlin Gao, Jiliang Fang, Ting Ma*, and Tao Wu*
NeuroImage: Clinical, 2021.
Paper
|
Competitions
|
The Top in the Tecent AIMIS 2021 challenge
on Brain Age Prediction
|
|
The Top in MICCAI-QUBIQ-2021 challenge
on Medical Image Segmentation Uncertainty Quantification
|
Last Update: December 14, 2023
Published with GitHub Pages
|