Personal information

Emails & domains

Verified email domains

Other IDs

Scopus Author ID: 57196021921

Countries

United States

Activities

Collapse all

Employment (8)

Emory University: Atlanta, Georgia, US

2023-09 to present | Research Assistant Professor (Center for Data Science at Nell Hodgson Woodruff School of Nursing)
Employment
Source: Self-asserted source
Alex Fedorov

Center for Translational Research in Neuroimaging and Data Science: Atlanta, Georgia, US

2019-05 to 2023-08 | Graduate Research Assistant
Employment
Source: Self-asserted source
Alex Fedorov

Meta: New York, New York, US

2022-08 to 2022-12 | Research Intern
Employment
Source: Self-asserted source
Alex Fedorov

Descript: San Francisco, California, US

2022-05 to 2022-08 | Research Intern
Employment
Source: Self-asserted source
Alex Fedorov

Microsoft Research: Redmond, Washington, US

2021-05 to 2021-08 | Research Intern
Employment
Source: Self-asserted source
Alex Fedorov

Mila - Quebec Artificial Intelligence Institute: Montreal, Quebec, CA

2019-06 to 2019-07 | Visiting Research PhD Student
Employment
Source: Self-asserted source
Alex Fedorov

Mind Research Network: Albuquerque, NM, US

2016-09-08 to 2019-05-15 | Graduate Research Assistant
Employment
Source: Self-asserted source
Alex Fedorov

Mila - Quebec Artificial Intelligence Institute: Montreal, Quebec, CA

2018-05 to 2018-08 | PhD Intern Student
Employment
Source: Self-asserted source
Alex Fedorov

Education and qualifications (4)

Georgia Institute of Technology: Atlanta, US

2019-05-15 to 2023-12-15 | PhD (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Alex Fedorov

The University of New Mexico: Albuquerque, NM, US

2016-08-10 to 2019-05-15 | Master of Science (Electrical and Computer Engineering)
Education
Source: Self-asserted source
Alex Fedorov

Nacional'nyj issledovatel'skij universitet Moskovskij institut elektronnoj tehniki: Moscow, RU

2014-09-01 to 2016-06-30 | Master (Applied Mathematics)
Education
Source: Self-asserted source
Alex Fedorov

Nacional'nyj issledovatel'skij universitet Moskovskij institut elektronnoj tehniki: Moscow, RU

2010-09-01 to 2014-06-30 | Bachelor (Computer Science)
Education
Source: Self-asserted source
Alex Fedorov

Works (28)

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

NeuroImage
2024 | Journal article
DOI: 10.1016/j.neuroimage.2023.120485
EID:

2-s2.0-85181057252

Part of ISSN: 10959572 10538119
Contributors: Fedorov, A.; Geenjaar, E.; Wu, L.; Sylvain, T.; DeRamus, T.P.; Luck, M.; Misiura, M.; Mittapalle, G.; Hjelm, R.D.; Plis, S.M. et al.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators

2024-05-13 | Conference paper
DOI: 10.1145/3589335.3651450
Contributors: Runze Yan; Neal K. Bhatia; Faisal M. Merchant; Alex Fedorov; Ran Xiao; Cheng Ding; Xiao Hu
Source: check_circle
Crossref

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

medRxiv
2023 | Other
DOI: 10.1101/2023.05.18.23290184
EID:

2-s2.0-85161316611
Contributors: Geenjaar, E.P.T.; Lewis, N.L.; Fedorov, A.; Wu, L.; Ford, J.M.; Preda, A.; Plis, S.M.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

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

Human Brain Mapping
2023 | Journal article
DOI: 10.1002/hbm.26479
EID:

2-s2.0-85172790893

Part of ISSN: 10970193 10659471
Contributors: Geenjaar, E.P.T.; Lewis, N.L.; Fedorov, A.; Wu, L.; Ford, J.M.; Preda, A.; Plis, S.M.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Voxel-wise Fusion of Resting fMRI Networks and Gray Matter Volume for Alzheimer's Disease Classification using Deep Multimodal Learning

Research Square
2023 | Other
DOI: 10.21203/rs.3.rs-3740218/v1
EID:

2-s2.0-85181729008
Contributors: Itkyal, V.S.; Abrol, A.; LaGrow, T.J.; Fedorov, A.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Interpreting models interpreting brain dynamics

Scientific Reports
2022 | Journal article
DOI: 10.1038/s41598-022-15539-2
EID:

2-s2.0-85134490695

Part of ISSN: 20452322
Contributors: Rahman, M.M.; Mahmood, U.; Lewis, N.; Gazula, H.; Fedorov, A.; Fu, Z.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Pipeline-Invariant Representation Learning for Neuroimaging

arXiv
2022 | Other
DOI: 10.48550/arXiv.2208.12909
EID:

2-s2.0-85137209805

Part of ISSN: 23318422
Contributors: Li, X.; Fedorov, A.; Mathur, M.; Abrol, A.; Kiar, G.; Plis, S.; Calhoun, V.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

arXiv
2022 | Other
DOI: 10.48550/arXiv.2209.02876
EID:

2-s2.0-85138160001

Part of ISSN: 23318422
Contributors: Fedorov, A.; Geenjaar, E.; Wu, L.; Sylvain, T.; DeRamus, T.P.; Luck, M.; Misiura, M.; Hjelm, R.D.; Plis, S.M.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Interpreting models interpreting brain dynamics

Research Square
2021 | Other
DOI: 10.21203/rs.3.rs-798060/v3
EID:

2-s2.0-85168179560
Contributors: Rahman, Md.M.; Mahmood, U.; Lewis, N.; Gazula, H.; Fedorov, A.; Fu, Z.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

On self-supervised multimodal representation learning: An application to alzheimer's disease

Proceedings - International Symposium on Biomedical Imaging
2021 | Conference paper
DOI: 10.1109/ISBI48211.2021.9434103
EID:

2-s2.0-85107208512

Part of ISBN: 9781665412469
Part of ISSN: 19458452 19457928
Contributors: Fedorov, A.; Wu, L.; Sylvain, T.; Luck, M.; Deramus, T.P.; Bleklov, D.; Plis, S.M.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Self-Supervised Multimodal Domino: In Search of Biomarkers for Alzheimer's Disease

Proceedings - 2021 IEEE 9th International Conference on Healthcare Informatics, ISCHI 2021
2021 | Conference paper
DOI: 10.1109/ICHI52183.2021.00017
EID:

2-s2.0-85118146850

Part of ISBN: 9781665401326
Contributors: Fedorov, A.; Sylvain, T.; Geenjaar, E.; Luck, M.; Wu, L.; Deramus, T.P.; Kirilin, A.; Bleklov, D.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

TASTING the CAKE: EVALUATING SELF-SUPERVISED GENERALIZATION on OUT-OF-DISTRIBUTION MULTIMODAL MRI DATA

arXiv
2021 | Other
DOI: 10.48550/arXiv.2103.15914
EID:

2-s2.0-85131865966

Part of ISSN: 23318422
Contributors: Fedorov, A.; Geenjaar, E.; Wu, L.; DeRamus, T.P.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

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

Journal of Neuroscience Methods
2020 | Journal article
DOI: 10.1016/j.jneumeth.2020.108701
EID:

2-s2.0-85083564550

Part of ISSN: 1872678X 01650270
Contributors: Abrol, A.; Bhattarai, M.; Fedorov, A.; Du, Y.; Plis, S.; Calhoun, V.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

ON SELF-SUPERVISED MULTIMODAL REPRESENTATION LEARNING: AN APPLICATION TO ALZHEIMER'S DISEASE

arXiv
2020 | Other
DOI: 10.48550/arXiv.2012.13619
EID:

2-s2.0-85131946331

Part of ISSN: 23318422
Contributors: Fedorov, A.; Wu, L.; Sylvain, T.; Luck, M.; DeRamus, T.P.; Bleklov, D.; Plis, S.M.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Self-supervised multimodal domino: In search of biomarkers for Alzheimer's disease

arXiv
2020 | Other
DOI: 10.48550/arxiv.2012.13623
EID:

2-s2.0-85171045814

Part of ISSN: 23318422
Contributors: Fedorov, A.; Sylvain, T.; Geenjaar, E.; Luck, M.; Wu, L.; DeRamus, T.P.; Kirilin, A.; Bleklov, D.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Whole MILC: Generalizing learned dynamics across tasks, datasets, and populations

arXiv
2020 | Other
DOI: 10.48550/arxiv.2007.16041
EID:

2-s2.0-85169275822

Part of ISSN: 23318422
Contributors: Mahmood, U.; Rahman, M.M.; Fedorov, A.; Lewis, N.; Fu, Z.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | Conference paper
DOI: 10.1007/978-3-030-59728-3_40
EID:

2-s2.0-85092727667

Part of ISBN: 9783030597276
Part of ISSN: 16113349 03029743
Contributors: Mahmood, U.; Rahman, M.M.; Fedorov, A.; Lewis, N.; Fu, Z.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Group ICA for identifying biomarkers in schizophrenia: ‘Adaptive’ networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression

NeuroImage: Clinical
2019 | Journal article
DOI: 10.1016/j.nicl.2019.101747
EID:

2-s2.0-85063318600

Part of ISSN: 22131582
Contributors: Salman, M.S.; Du, Y.; Lin, D.; Fu, Z.; Fedorov, A.; Damaraju, E.; Sui, J.; Chen, J.; Mayer, A.R.; Posse, S. et al.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Learning deep representations by mutual information estimation and maximization

7th International Conference on Learning Representations, ICLR 2019
2019 | Conference paper
EID:

2-s2.0-85083954255
Contributors: Devon Hjelm, R.; Grewal, K.; Bachman, P.; Fedorov, A.; Trischler, A.; Lavoie-Marchildon, S.; Bengio, Y.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Learnt dynamics generalizes across tasks, datasets, and populations

arXiv
2019 | Other
DOI: 10.48550/arxiv.1912.03130
EID:

2-s2.0-85170771884

Part of ISSN: 23318422
Contributors: Mahmood, U.; Rahman, M.M.; Fedorov, A.; Fu, Z.; Calhoun, V.D.; Plis, S.M.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Prediction of progression to Alzheimer's disease with deep infomax

arXiv
2019 | Other
DOI: 10.48550/arxiv.1904.10931
EID:

2-s2.0-85181608422

Part of ISSN: 23318422
Contributors: Fedorov, A.; Devon Hjelm, R.; Abrol, A.; Fu, Z.; Du, Y.; Plis, S.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Prediction of progression to Alzheimer's disease with deep infomax

2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings
2019 | Conference paper
DOI: 10.1109/BHI.2019.8834630
EID:

2-s2.0-85073006464

Part of ISBN: 9781728108483
Contributors: Fedorov, A.; Hjelm, R.D.; Abrol, A.; Fu, Z.; Du, Y.; Plis, S.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Transfer Learning of fMRI Dynamics

arXiv
2019 | Other
DOI: 10.48550/arxiv.1911.06813
EID:

2-s2.0-85169853781

Part of ISSN: 23318422
Contributors: Mahmood, U.; Rahman, M.M.; Fedorov, A.; Fu, Z.; Plis, S.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

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

bioRxiv
2018 | Other
DOI: 10.1101/470252
EID:

2-s2.0-85095640411

Part of ISSN: 26928205
Contributors: Abrol, A.; Bhattarai, M.; Fedorov, A.; Du, Y.; Plis, S.; Calhoun, V.D.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

Learning deep representations by mutual information estimation and maximization

arXiv
2018 | Other
DOI: 10.48550/arxiv.1808.06670
EID:

2-s2.0-85170734262

Part of ISSN: 23318422
Contributors: Devon Hjelm, R.; Fedorov, A.; Lavoie-Marchildon, S.; Grewal, K.; Bachman, P.; Trischler, A.; Bengio, Y.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

An (almost) instant brain atlas segmentation for large-scale studies

arXiv
2017 | Other
DOI: 10.48550/arxiv.1711.00457
EID:

2-s2.0-85169495965

Part of ISSN: 23318422
Contributors: Fedorov, A.; Damaraju, E.; Calhoun, V.; Plis, S.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

End-to-end learning of brain tissue segmentation from imperfect labeling

Proceedings of the International Joint Conference on Neural Networks
2017 | Conference paper
DOI: 10.1109/IJCNN.2017.7966333
EID:

2-s2.0-85031029540

Part of ISBN: 9781509061815
Contributors: Fedorov, A.; Johnson, J.; Damaraju, E.; Ozerin, A.; Calhoun, V.; Plis, S.
Source: Self-asserted source
Alex Fedorov via Scopus - Elsevier

End-to-end learning of brain tissue segmentation from imperfect labeling

International Joint Conference on Neural Networks (IJCNN 2017)
2017 | Conference paper
Source: Self-asserted source
Alex Fedorov

Peer review (2 reviews for 1 publication/grant)

Review activity for Pattern recognition. (2)
How many people are using ORCID?