Multi-instance discriminative contrastive learning for brain image representation

This paper focuses on the problem of learning discriminative representation for brain images, which is a critical task toward understanding brain developments. Related studies usually extract manual and statistical features from the functional magnetic resonance images (MRIs) to differentiate brain...

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Bibliographic Details
Published in:	Neural computing & applications Vol. 37; no. 11; pp. 7459 - 7472
Main Authors:	Zhang, Yupei, Liu, Shuhui, Qu, Xiran, Shang, Xuequn
Format:	Journal Article
Language:	English
Published:	London Springer London 01.04.2025 Springer Nature B.V
Subjects:	Artificial Intelligence Brain Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Image classification Image Processing and Computer Vision Learning Magnetic resonance imaging Medical imaging Neuroimaging Probability and Statistics in Computer Science Representations S.I.: Efficient Artificial Intelligent Algorithms for Medical Image Analysis Based on High-Performance Computing Special Issue on Efficient Artificial Intelligent Algorithms for Medical Image Analysis Based on High-Performance Computing Deep learning Education impacts Multi-instance contrastive learning NeuroImage analysis Brain learning Development MRI classification
ISSN:	0941-0643, 1433-3058
Online Access:	Get full text
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