Sergey M. Plis
Orcid: 0000-0003-0040-0365Affiliations:
- Georgia State University, Atlanta, Georgia, USA
- Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, Georgia, USA
- Mind Research Network (MRN), Albuquerque, NM, USA (former)
- University of New Mexico, Albuquerque, Department of Computer Science, USA (former)
According to our database1,
Sergey M. Plis
authored at least 113 papers
between 2005 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on cs.unm.edu
On csauthors.net:
Bibliography
2024
J. Open Source Softw., February, 2024
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links.
NeuroImage, January, 2024
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse.
CoRR, 2024
2023
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains.
Neuroinformatics, April, 2023
J. Open Source Softw., March, 2023
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.
Frontiers Neuroinformatics, March, 2023
CoRR, 2023
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey.
CoRR, 2023
CoRR, 2023
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training.
CoRR, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
2022
Trans. Mach. Learn. Res., 2022
IEEE Signal Process. Mag., 2022
Neuroinformatics, 2022
Neuroinformatics, 2022
Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI.
NeuroImage, 2022
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes.
CoRR, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation.
IEEE Trans. Signal Process., 2021
IEEE Trans. Image Process., 2021
Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis.
Neuroinformatics, 2021
CoRR, 2021
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data.
CoRR, 2021
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States.
Brain Connect., 2021
Algorithms, 2021
Statelets: A Novel Multi-Dimensional State-Shape Representation Of Brain Functional Connectivity Dynamics.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia.
IEEE Trans. Biomed. Eng., 2020
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation.
J. Open Source Softw., 2020
On self-supervised multi-modal representation learning: An application to Alzheimer's disease.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
2019
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.
NeuroImage, 2019
CoRR, 2019
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
2018
Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.
NeuroImage, 2018
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity.
Frontiers Neuroinformatics, 2018
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR.
CoRR, 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments.
CoRR, 2018
Proceedings of the 2018 AAAI Spring Symposia, 2018
2017
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: Evaluation using sensorimotor tasks.
NeuroImage, 2017
NeuroImage, 2017
A constraint optimization approach to causal discovery from subsampled time series data.
Int. J. Approx. Reason., 2017
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
A deep-learning approach to translate between brain structure and functional connectivity.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.
IEEE J. Sel. Top. Signal Process., 2016
A Tool for Interactive Data Visualization: Application to Over 10, 000 Brain Imaging and Phantom MRI Data Sets.
Frontiers Neuroinformatics, 2016
Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data.
CoRR, 2016
CoRR, 2016
Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach.
Proceedings of the 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Privacy-preserving source separation for distributed data using independent component analysis.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015
Generation of synthetic structural magnetic resonance images for deep learning pre-training.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging.
NeuroImage, 2014
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.
NeuroImage, 2014
Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks.
NeuroImage, 2014
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.
Frontiers Neuroinformatics, 2014
Proceedings of the 2nd International Conference on Learning Representations, 2014
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Proceedings of the 1st International Conference on Learning Representations, 2013
2011
J. Signal Process. Syst., 2011
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms.
Comput. Biol. Medicine, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Frontiers Neuroinformatics, 2010
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Proceedings of the ICDM 2010, 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
2008
NeuroImage, 2008
2006
A generalized spatiotemporal covariance model for stationary background in analysis of MEG data.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
NeuroImage, 2005