A Multi-Graph Cross-Attention based Region-Aware Feature Fusion Network using Multi-Template for Brain Disorder Diagnosis-Reference-Cited by-同舟云学术

A Multi-Graph Cross-Attention based Region-Aware Feature Fusion Network using Multi-Template for Brain Disorder Diagnosis

Published:2023 Issue: Volume: Page:1-1
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Ma Yulan¹^ORCID,Cui Weigang²^ORCID,Liu Jingyu³^ORCID,Guo Yuzhu¹^ORCID,Chen Huiling⁴^ORCID,Li Yang⁵^ORCID

Affiliation:

1. Department of Automation Science and Electrical Engineering, Beihang University, Beijing, China

2. School of Engineering Medicine, Beihang University, Beijing, China

3. School of Medical Technology, Beijing Institute of Technology, Beijing, China

4. College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China

5. Department of Automation Science and Electrical Engineering and State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

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/ielx7/42/4359023/10294288.pdf?arnumber=10294288

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