Alex Fedorov

NeuroscienceMedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease”.

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease

Journal of Neuroscience Methods(2020)10.1016/j.jneumeth.2020.108701

N/A

0DataRank · unranked

179 citations

Manish Bhattarai, Alex Fedorov, Yuhui Du, Sergey Plis, Vince D. Calhoun +1 more

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer’s Disease

arXiv (Cornell University)(2021)10.1109/ichi52183.2021.00017

N/A

0DataRank · unranked

2 citations

Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus +5 more

Interpreting models interpreting brain dynamics

Research Square(2021)10.21203/rs.3.rs-798060/v1

N/A

0DataRank · unranked

0 citations

Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu +3 more

Interpreting models interpreting brain dynamics

Research Square(2021)10.21203/rs.3.rs-798060/v2

N/A

0DataRank · unranked

0 citations

Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu +3 more

Interpreting models interpreting brain dynamics

Scientific Reports(2022)10.1038/s41598-022-15539-2

N/A

0DataRank · unranked

19 citations

Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu +3 more

Interpreting models interpreting brain dynamics

Research Square(2022)10.21203/rs.3.rs-798060/v3

N/A

0DataRank · unranked

3 citations

Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu +3 more

Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links

NeuroImage(2023)10.1016/j.neuroimage.2023.120485

N/A

0DataRank · unranked

14 citations

Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck +6 more

Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi‐informed insights into schizophrenia

Human Brain Mapping(2023)10.1002/hbm.26479

N/A

0DataRank · unranked

4 citations

Noah Lewis, Alex Fedorov, Lei Wu, Judith M. Ford, Adrian Preda +3 more

Chromatic fusion: generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia

medRxiv(2023)10.1101/2023.05.18.23290184

N/A

0DataRank · unranked

4 citations

Noah Lewis, Alex Fedorov, Lei Wu, Judith M. Ford, Adrian Preda +3 more

Multimodal Fusion Analysis of [18F]Florbetapir PET and Multiscale Functional Network Connectivity in Alzheimer’s Disease

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.26.678805

N/A

0DataRank · unranked

0 citations

Nigar Khasayeva, Adithya Ram Ballem, Geethanjali Nagaboina, Jiayu Chen, Alex Fedorov +5 more

Learning ECG Representations via Poly-Window Contrastive Learning

arXiv (Cornell University)(2025)10.48550/arxiv.2508.15225

N/A

0DataRank · unranked

0 citations

J.H. Duyn, Runze Yan, Zhuoyi Huang, Sulaiman Vesal, Sergey Plis +5 more

Learning ECG Representations via Poly-Window Contrastive Learning

(2025)10.1109/bhi67747.2025.11269529

N/A

0DataRank · unranked

0 citations

J.H. Duyn, Runze Yan, Zhuoyi Huang, Sulaiman Vesal, Sergey Plis +5 more