Alex Fedorov

32 papers B 1Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer.
CoRR
Jiaying Lu, Stephanie R. Brown, Songyuan Liu, Shifan Zhao, Kejun Dong, Del Bold, Michael Fundora, Alaa Aljiffry, Alex Fedorov, Jocelyn Grunwell, Xiao Hu
2025 J jnl
FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG.
CoRR
Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu, Xiao Hu, Alex Fedorov, Gloria Hyunjung Kwak
2025 — conf
Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes.
MedInfo
Zeyuan Meng, Lovely Yeswanth Panchumarthi, Saurabh Kataria, Alex Fedorov, Jessica K. Zègre-Hemsey, Xiao Hu, Ran Xiao
2025 J jnl
Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes.
CoRR
Zeyuan Meng, Lovely Yeswanth Panchumarthi, Saurabh Kataria, Alex Fedorov, Jessica K. Zègre-Hemsey, Xiao Hu, Ran Xiao
2025 J jnl
High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion Training.
CoRR
Zhuoyi Huang, Nutan Sahoo, Anamika Kumari, Girish Kumar, Kexuan Cai, Shixing Cao, Yue Kang, Tian Xia, Somya Chatterjee, Nick Hausman, Aidan Jay, Eric S. Rosenthal, Soundar Srinivasan, Sadid Hasan, Alex Fedorov, Sulaiman Vesal
2025 J jnl
Learning ECG Representations via Poly-Window Contrastive Learning.
CoRR
Yi Yuan, Joseph Van Duyn, Runze Yan, Zhuoyi Huang, Sulaiman Vesal, Sergey M. Plis, Xiao Hu, Gloria Hyunjung Kwak, Ran Xiao, Alex Fedorov
2025 J jnl
Longitudinal Progression Prediction of Alzheimer's Disease with Tabular Foundation Model.
CoRR
Yilang Ding, Jiawen Ren, Jiaying Lu, Gloria Hyunjung Kwak, Armin Iraji, Alex Fedorov
2025 J jnl
MindGrab for BrainChop: Fast and Accurate Skull Stripping for Command Line and Browser.
CoRR
Armina Fani, Mike Doan, Isabelle Le, Alex Fedorov, Malte Hoffmann, Chris Rorden, Sergey M. Plis
2025 — conf
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters.
ISBI
Alex Fedorov, Yutong Bu, Xiao Hu, Chris Rorden, Sergey M. Plis
2025 J jnl
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters.
CoRR
Alex Fedorov, Yutong Bu, Xiao Hu, Chris Rorden, Sergey M. Plis
2025 J jnl
Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models.
CoRR
Victoria Yan, Honor Chotkowski, Fengran Wang, Xinhui Li, Jessica L. Saurman, Fadi B. Nahab, David Loring, Carl Yang, Jiaying Lu, Runze Yan, Xiao Hu, Alex Fedorov
2024 — conf
Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators.
WWW (Companion Volume)
Runze Yan, Neal K. Bhatia, Faisal M. Merchant, Alex Fedorov, Ran Xiao, Cheng Ding, Xiao Hu
2024 — conf
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals.
CHIL
Runze Yan, Cheng Ding, Ran Xiao, Alex Fedorov, Randall J. Lee, Fadi B. Nahab, Xiao Hu
2024 J jnl
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.
NeuroImage
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
2022 J jnl
Pipeline-Invariant Representation Learning for Neuroimaging.
CoRR
Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun
2022 J jnl
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes.
CoRR
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun
2021 — conf
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease.
ISBI
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
2021 — conf
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease.
ICHI
Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
2021 J jnl
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data.
CoRR
Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis
2020 J jnl
On self-supervised multi-modal representation learning: An application to Alzheimer's disease.
CoRR
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun
2020 J jnl
Taxonomy of multimodal self-supervised representation learning.
CoRR
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
2020 — conf
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations.
MICCAI (7)
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2020 J jnl
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations.
CoRR
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2019 — conf
Learning deep representations by mutual information estimation and maximization.
ICLR
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio
2019 J jnl
Learnt dynamics generalizes across tasks, datasets, and populations.
CoRR
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis
2019 — conf
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
BHI
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Prediction of Progression to Alzheimer's disease with Deep InfoMax.
CoRR
Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun
2019 J jnl
Transfer Learning of fMRI Dynamics.
CoRR
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis
2018 J jnl
Learning deep representations by mutual information estimation and maximization.
CoRR
R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Adam Trischler, Yoshua Bengio
2017 J jnl
Almost instant brain atlas segmentation for large-scale studies.
CoRR
Alex Fedorov, Eswar Damaraju, Vince D. Calhoun, Sergey M. Plis
2017 B conf
End-to-end learning of brain tissue segmentation from imperfect labeling.
IJCNN
Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis
2016 J jnl
End-to-end learning of brain tissue segmentation from imperfect labeling.
CoRR
Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis