Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning-Reference-Cited by-同舟云学术

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Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning

Published:2024-09 Issue:9 Volume:28 Page:5528-5539
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Jiang Ning¹,Wang Gongshu¹,Ye Chuyang²^ORCID,Liu Tiantian¹^ORCID,Yan Tianyi¹^ORCID

Affiliation:

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

2. School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China

Funder

Key-Area Research and Development Program of Guangdong Province

2030-Major Projects

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6221020/10666866/10561473.pdf?arnumber=10561473

Reference66 articles.

1. Correlations Between Personality and Brain Structure: A Crucial Role of Gender

2. Classification of Structural MRI Images in Adhd Using 3D Fractal Dimension Complexity Map

3. Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study

4. Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation

5. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network

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