A Contrastive Learning-Based Approach To Measure Spatial Coupling Among Brain Networks: A Schizophrenia Study-Reference-Cited by-同舟云学术

A Contrastive Learning-Based Approach To Measure Spatial Coupling Among Brain Networks: A Schizophrenia Study

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

Hassanzadeh Reihaneh¹,Calhoun Vince¹

Affiliation:

1. Georgia State University,Department of Computer Science and Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS),Atlanta,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761466.pdf?arnumber=9761466

Reference13 articles.

1. Supervised Contrastive Learning;khosla;Advances in neural information processing systems,2020

2. NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders;du;NeuroImage Clinical,2020

3. Tracking Whole-Brain Connectivity Dynamics in the Resting State;allen,2012

4. Searching for a baseline: Functional imaging and the resting human brain

5. Dysconnectivity of Multiple Brain Networks in Schizophrenia: A Meta-Analysis of Resting-State Functional Connectivity

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1. Contrastive voxel clustering for multiscale modeling of brain network;NeuroImage;2024-08

2. A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer’s disease using resting-state functional network connectivity;PLOS ONE;2024-05-20

3. A Confounder Controlled Machine Learning Approach: Group Analysis and Classification of Schizophrenia and Alzheimer’s Disease using Resting-State Functional Network Connectivity;2023-10-06