Author

Alex Fedorov

Mind Research NetworkORCID 0000-0002-0350-9449Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 3 Organism:human· 3 Assay:imaging· 3 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Vince D. CalhouniD· 3 shared Jiayu CheniD· 2 shared Yuhui DuiD· 2 shared Adithya Ram Ballem· 1 shared Allan I. LeveyiD· 1 shared Andrew R. MayeriD· 1 shared Anees AbroliD· 1 shared Armin IrajiiD· 1 shared

Activity by Year

2019-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersNeuroscience

Vince D. CalhounORCID

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3 papers

Recent·Most cited

Multimodal Fusion Analysis of Florbetapir PET and Multiscale Functional Network Connectivity in Alzheimer's Disease

Bikesh Bimali, Nigar Khasayeva, Adithya Ram Ballem, Geethanjali Nagaboina, Jiayu Chen, Alex Fedorov, James J. Lah, Allan I. Levey, Vince D. Calhoun, Armin Iraji

This study integrates Florbetapir PET and functional network connectivity to identify disease progression markers and genetic risk associations in Alzheimer's disease.

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) · Oct 26, 2025Peer-reviewedNeuroscience

Deep Residual Learning for Neuroimaging: An application to Predict Progression to Alzheimer’s Disease

Anees Abrol, Manish Bhattarai, Alex Fedorov, Yuhui Du, Sergey Plis, Vince D. Calhoun, for the Alzheimer’s Disease Neuroimaging Initiative

This paper applies deep residual networks to predict Alzheimer’s disease progression from mild cognitive impairment using neuroimaging data, achieving better performance than existing methods.

bioRxiv · Apr 24, 2019Neuroscience

Group ICA for Identifying Biomarkers in Schizophrenia: ‘Adaptive’ Networks via Spatially Constrained ICA Show More Sensitivity to Group Differences than Spatio-temporal Regression

Mustafa S. Salman, Yuhui Du, Dongdong Lin, Zening Fu, Alex Fedorov, Eswar Damaraju, Jing Sui （Beijing Normal University）， my correct affiliation is beijing normal university, not Qingdao University of Science and Technology, please correct the current affiliation. Thank you, Jiayu Chen, Andrew R. Mayer, Stefan Posse, Daniel H. Mathalon, Judith M. Ford, Theodorus Van Erp, Vince D. Calhoun

This study compares GIG-ICA and STR for identifying brain functional networks in schizophrenia, finding GIG-ICA more sensitive to group differences and better at classification.

NeuroImage Clinical · Jan 1, 2019Peer-reviewedNeuroscience