Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation
Author:
Affiliation:
1. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
2. MoE Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanghai
CAAI-Huawei MindSpore Open Fund
Shanghai Jiao Tong University Scientific and Technological Innovation Funds
Shanghai Municipal Science and Technology Major Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software
Link
http://xplorestaging.ieee.org/ielx7/42/10035777/09950299.pdf?arnumber=9950299
Reference43 articles.
1. Learning patterns of the ageing brain in MRI using deep convolutional networks
2. Graph attention networks;velickovic;Stat,2017
3. Brain Age Estimation From MRI Using Cascade Networks With Ranking Loss
4. Inductive representation learning on large graphs;hamilton;Proc Adv Neural Inf Process Syst,2017
5. Global-Local Transformer for Brain Age Estimation
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