Publications by authors named "Alex Fedorov"

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Multimodal Fusion Analysis of [18F]Florbetapir PET and Multiscale Functional Network Connectivity in Alzheimer's Disease.
Bikesh Bimali, Nigar Khasayeva, Adithya Ram Ballem, Geethanjali Nagaboina, Jiayu Chen, Alex Fedorov

bioRxiv· September 2025

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Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes.
Zeyuan Meng, Lovely Yeswanth Panchumarthi, Saurabh Kataria, Alex Fedorov, Jessica Zègre-Hemsey

Stud Health Technol Inform· August 2025

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Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer.
Jiaying Lu, Stephanie R Brown, Songyuan Liu, Shifan Zhao, Kejun Dong, Alex Fedorov

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.
Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P DeRamus

Neuroimage· January 2024

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Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia.
Eloy P T Geenjaar, Noah L Lewis, Alex Fedorov, Lei Wu, Judith M Ford

Hum Brain Mapp· December 2023

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Voxel-wise Fusion of Resting fMRI Networks and Gray Matter Volume for Alzheimer's Disease Classification using Deep Multimodal Learning.
Vaibhavi S Itkyal, Anees Abrol, Theodore J LaGrow, Alex Fedorov, Vince D Calhoun

Res Sq· December 2023

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Chromatic fusion: generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia.
Eloy P T Geenjaar, Noah L Lewis, Alex Fedorov, Lei Wu, Judith M Ford

medRxiv· May 2023

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Interpreting models interpreting brain dynamics.
Md Mahfuzur Rahman, Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov

Sci Rep· July 2022

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Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease.
Anees Abrol, Manish Bhattarai, Alex Fedorov, Yuhui Du, Sergey Plis

J Neurosci Methods· June 2020

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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

Neuroimage Clin· December 2019

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