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Neuroimage|November 10, 2022
Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRIUsman Mahmood, Zening Fu, Satrajit Ghosh, et al.
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|June 2, 2023
GLACIER: GLASS-BOX TRANSFORMER FOR INTERPRETABLE DYNAMIC NEUROIMAGINGUsman Mahmood, Zening Fu, Vince Calhoun, et al.
Neuroimage|November 8, 2024
A simple but tough-to-beat baseline for fMRI time-series classificationPavel Popov, Usman Mahmood, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoderXinhui Li, Eloy Geenjaar, Zening Fu, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Fusing multimodal neuroimaging data with a variational autoencoderEloy Geenjaar, Noah Lewis, Zening Fu, et al.
Nature Communications|January 14, 2021
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learningAnees Abrol, Zening Fu, Mustafa Salman, et al.
Brain Sciences|January 24, 2025
Explainable Self-Supervised Dynamic Neuroimaging Using Time ReversalZafar Iqbal, Md Mahfuzur Rahman, Usman Mahmood, et al.
Imaging Neuroscience (Cambridge, Mass.)|March 13, 2026
Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendationsMd Mahfuzur Rahman, Vince Calhoun, Sergey Plis
Advances in Neural Information Processing Systems|May 17, 2016
Rate-Agnostic (Causal) Structure LearningSergey Plis, David Danks, Cynthia Freeman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRI<sup></sup>Anees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.
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