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Sergey Plis

Showing results (1-10 of 46) with videos related to

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Synthese|September 19, 2019
Amalgamating evidence of dynamicsDavid Danks, Sergey Plis
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Scaling Synthetic Brain Data GenerationMike Doan, Sergey Plis
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|April 15, 2016
Mesochronal Structure LearningSergey Plis, David Danks, Jianyu Yang
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.
Proceedings of Machine Learning Research|March 28, 2024
Causal Learning through Deliberate UndersamplingKseniya Solovyeva, David Danks, Mohammadsajad Abavisani, et al.
Frontiers in Neuroscience|August 2, 2023
A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI dataAmrit Kashyap, Sergey Plis, Petra Ritter, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Classification of Schizophrenia using Intrinsic Connectivity Networks and Incremental Boosting Convolution Neural NetworksDuc My Vo, Sergey Plis, Vince D Calhourn
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.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Synthese|September 19, 2019
Amalgamating evidence of dynamicsDavid Danks, Sergey Plis
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Scaling Synthetic Brain Data GenerationMike Doan, Sergey Plis
Uncertainty in Artificial Intelligence : Proceedings of the ... Conference. Conference on Uncertainty in Artificial Intelligence|April 15, 2016
Mesochronal Structure LearningSergey Plis, David Danks, Jianyu Yang
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.
Proceedings of Machine Learning Research|March 28, 2024
Causal Learning through Deliberate UndersamplingKseniya Solovyeva, David Danks, Mohammadsajad Abavisani, et al.
Frontiers in Neuroscience|August 2, 2023
A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI dataAmrit Kashyap, Sergey Plis, Petra Ritter, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Classification of Schizophrenia using Intrinsic Connectivity Networks and Incremental Boosting Convolution Neural NetworksDuc My Vo, Sergey Plis, Vince D Calhourn
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.
Pageof 5