106 citations · 124 across the 6 of their papers we have counts for
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cs.LG2022★ 106 cited
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang +10
Generative adversarial networks (GANs) are one powerful type of deep learning models that have been successfully utilized in numerous fields. They belong to a broader family called…
cs.LG2021
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies
Dushyant Sahoo, Christos Davatzikos
Resting-state fMRI has been shown to provide surrogate biomarkers for the analysis of various diseases. In addition, fMRI data helps in understanding the brain's functional working…
cs.LG2021★ 1 cited
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning
Dushyant Sahoo, Christos Davatzikos
The estimation of sparse hierarchical components reflecting patterns of the brain's functional connectivity from rsfMRI data can contribute to our understanding of the brain's func…