Using large-scale Granger causality to study changes in brain network properties in the Clinically Isolated Syndrome (CIS) stage of multiple sclerosis

Author:

Abidin Anas Z.1,Chockanathan Udaysankar1,DSouza Adora M.1,Inglese Matilde2,Wismüller Axel1

Affiliation:

1. Univ. of Rochester (United States)

2. Icahn School of Medicine at Mount Sinai (United States)

Publisher

SPIE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Anatomical landmark detection in chest x-ray images using transformer-based networks;Medical Imaging 2024: Computer-Aided Diagnosis;2024-04-03

2. Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review;Brain Sciences;2023-01-31

3. Self-supervised learning in medical imaging: anomaly detection in MRI using autoencoders;Real-Time Image Processing and Deep Learning 2022;2022-05-27

4. Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC);Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging;2022-04-04

5. Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data;Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging;2022-04-04

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