neuroneural | Sergey Plis, Ph.D.
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Sergey Plis

Machine Learning & Neuroimaging

neuroneural | Sergey Plis, Ph.D.
Featured
Advanced Machine Learning

Advanced Machine Learning

| Apr 23, 2021 | Classes
Featured
Causal Learning through Deliberate Undersampling

Causal Learning through Deliberate Undersampling

Sergey Plis | Feb 20, 2023 | Publications
Featured
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer’s phenotypes

Sergey Plis | Sep 7, 2022 | Publications
Featured
Pipeline-Invariant Representation Learning for Neuroimaging

Pipeline-Invariant Representation Learning for Neuroimaging

Sergey Plis | Aug 27, 2022 | Publications
Featured
Interpreting models interpreting brain dynamics

Interpreting models interpreting brain dynamics

Sergey Plis | Jul 21, 2022 | Publications
Featured
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder

Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder

Sergey Plis | Jul 11, 2022 | Publications
Featured
Constraint-Based Causal Structure Learning from Undersampled Graphs

Constraint-Based Causal Structure Learning from Undersampled Graphs

Sergey Plis | May 18, 2022 | Publications
Featured
Tracking whole-brain connectivity dynamics in the resting state

Tracking whole-brain connectivity dynamics in the resting state

Sergey Plis | Apr 1, 2022 | Publications
Featured
Deep learning in neuroimaging: Promises and challenges

Deep learning in neuroimaging: Promises and challenges

Sergey Plis | Feb 24, 2022 | Publications
Featured

Introduction to Deep Learning

| Feb 14, 2022 | Classes
Featured
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series

Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series

Sergey Plis | Feb 4, 2022 | Publications
Featured
Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data

Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data

Sergey Plis | Jan 1, 2022 | Publications
Featured
Single-shot pruning for offline reinforcement learning

Single-shot pruning for offline reinforcement learning

Sergey Plis | Dec 31, 2021 | Publications
Featured
Federated analysis of neuroimaging data: A review of the field

Federated analysis of neuroimaging data: A review of the field

Sergey Plis | Nov 22, 2021 | Publications
Featured
205. Deep Learning Approaches to Unimodal and Multimodal Analysis of Brain Imaging Data With Applications to Mental Illness

  1. Deep Learning Approaches to Unimodal and Multimodal Analysis of Brain Imaging Data With Applications to Mental Illness

Sergey Plis | Mar 1, 2014 | Publications
Featured
A classification-based approach to estimate the number of resting functional magnetic resonance imaging dynamic functional connectivity states

A classification-based approach to estimate the number of resting functional magnetic resonance imaging dynamic functional connectivity states

Sergey Plis | Mar 1, 2014 | Publications
Featured
A constraint optimization approach to causal discovery from subsampled time series data

A constraint optimization approach to causal discovery from subsampled time series data

Sergey Plis | Mar 1, 2014 | Publications
Featured
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation

Sergey Plis | Mar 1, 2014 | Publications
Featured
A DEEP LEARNING APPROACH TO ESTIMATING INITIAL CONDITIONS OF BRAIN NETWORK MODELS IN REFERENCE TO MEASURED FMRI DATA

A DEEP LEARNING APPROACH TO ESTIMATING INITIAL CONDITIONS OF BRAIN NETWORK MODELS IN REFERENCE TO MEASURED FMRI DATA

Sergey Plis | Mar 1, 2014 | Publications
Featured
A deep learning model for data-driven discovery of functional connectivity

A deep learning model for data-driven discovery of functional connectivity

Sergey Plis | Mar 1, 2014 | Publications
Featured
A Method for Analyzing Abnormal Integration Between the Brain Regions in Schizophrenia

A Method for Analyzing Abnormal Integration Between the Brain Regions in Schizophrenia

Sergey Plis | Mar 1, 2014 | Publications
Featured
A tool for interactive data visualization: application to over 10,000 brain imaging and phantom MRI data sets

A tool for interactive data visualization: application to over 10,000 brain imaging and phantom MRI data sets

Sergey Plis | Mar 1, 2014 | Publications
Featured
Addressing inaccurate nosology in mental health: A multilabel data cleansing approach for detecting label noise from structural magnetic resonance imaging data in mood and psychosis disorders

Addressing inaccurate nosology in mental health: A multilabel data cleansing approach for detecting label noise from structural magnetic resonance imaging data in mood and psychosis disorders

Sergey Plis | Mar 1, 2014 | Publications
Featured
Algorithm-Agnostic Explainability for Unsupervised Clustering

Algorithm-Agnostic Explainability for Unsupervised Clustering

Sergey Plis | Mar 1, 2014 | Publications
Featured
Almost instant brain atlas segmentation for large-scale studies

Almost instant brain atlas segmentation for large-scale studies

Sergey Plis | Mar 1, 2014 | Publications
Featured
Amalgamating evidence of dynamics

Amalgamating evidence of dynamics

Sergey Plis | Mar 1, 2014 | Publications
Featured
B58 BIG AND BIGGER (DATA): OMICS AND BIOMARKERS OF COPD AND OTHER CHRONIC LUNG DISEASES: Support Vector Machine Identifies A Set Of Metabolites In Plasma That Predict Rapid Fev1 Decline In Humans And Mice

B58 BIG AND BIGGER (DATA): OMICS AND BIOMARKERS OF COPD AND OTHER CHRONIC LUNG DISEASES: Support Vector Machine Identifies A Set Of Metabolites In Plasma That Predict Rapid Fev1 Decline In Humans And Mice

Sergey Plis | Mar 1, 2014 | Publications
Featured
Bayesian brain source imaging based on combined MEG EEG and fMRI using MCMC

Bayesian brain source imaging based on combined MEG EEG and fMRI using MCMC

Sergey Plis | Mar 1, 2014 | Publications
Featured
Blind source separation for unimodal and multimodal brain networks A unifying framework for subspace modeling

Blind source separation for unimodal and multimodal brain networks A unifying framework for subspace modeling

Sergey Plis | Mar 1, 2014 | Publications
Featured
Brain dynamics via Cumulative Auto-Regressive Self-Attention

Brain dynamics via Cumulative Auto-Regressive Self-Attention

Sergey Plis | Mar 1, 2014 | Publications
Featured
COINSTAC - a privacy enabled model and prototype for leveraging and processing decentralized brain imaging data

COINSTAC - a privacy enabled model and prototype for leveraging and processing decentralized brain imaging data

Sergey Plis | Mar 1, 2014 | Publications
Featured
COINSTAC - Collaborative informatics and neuroimaging suite toolkit for anonymous computation

COINSTAC - Collaborative informatics and neuroimaging suite toolkit for anonymous computation

Sergey Plis | Mar 1, 2014 | Publications
Featured
COINSTAC - Decentralizing the future of brain imaging analysis

COINSTAC - Decentralizing the future of brain imaging analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Concurrent cross-sectional and longitudinal analyses of multivariate white matter profiles and clinical functioning in pre-diagnosis Huntington disease

Concurrent cross-sectional and longitudinal analyses of multivariate white matter profiles and clinical functioning in pre-diagnosis Huntington disease

Sergey Plis | Mar 1, 2014 | Publications
Featured
Correlated noise - How it breaks NMF, and what to do about it

Correlated noise - How it breaks NMF, and what to do about it

Sergey Plis | Mar 1, 2014 | Publications
Featured
Decentralized analysis of brain imaging data - Voxel-based morphometry and dynamic functional network connectivity

Decentralized analysis of brain imaging data - Voxel-based morphometry and dynamic functional network connectivity

Sergey Plis | Mar 1, 2014 | Publications
Featured
Decentralized distribution-sampled classification models with application to brain imaging

Decentralized distribution-sampled classification models with application to brain imaging

Sergey Plis | Mar 1, 2014 | Publications
Featured
Decentralized multisite VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking - a COINSTAC analysis

Decentralized multisite VBM analysis during adolescence shows structural changes linked to age, body mass index, and smoking - a COINSTAC analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Decentralized temporal independent component analysis - leveraging fMRI data in collaborative settings

Decentralized temporal independent component analysis - leveraging fMRI data in collaborative settings

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep independence network analysis of structural brain imaging- application to schizophrenia

Deep independence network analysis of structural brain imaging- application to schizophrenia

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data

Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep learning for neuroimaging - a validation study

Deep learning for neuroimaging - a validation study

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep learning models for brain imaging - Model depth enhances discovery power

Deep learning models for brain imaging - Model depth enhances discovery power

Sergey Plis | Mar 1, 2014 | Publications
Featured
Deep residual learning for neuroimaging - an application to predict progression to Alzheimer's disease

Deep residual learning for neuroimaging - an application to predict progression to Alzheimer’s disease

Sergey Plis | Mar 1, 2014 | Publications
Featured
Detecting Label Noise from Multi-site Structural Magnetic Resonance Imaging Data to Mitigate Inaccurate Nosology in Mental Health

Detecting Label Noise from Multi-site Structural Magnetic Resonance Imaging Data to Mitigate Inaccurate Nosology in Mental Health

Sergey Plis | Mar 1, 2014 | Publications
Featured
Directional statistics on permutations

Directional statistics on permutations

Sergey Plis | Mar 1, 2014 | Publications
Featured
Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia

Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia

Sergey Plis | Mar 1, 2014 | Publications
Featured
dSNE - a visualization approach for use with decentralized data

dSNE - a visualization approach for use with decentralized data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms

Effective connectivity analysis of fMRI and MEG data collected under identical paradigms

Sergey Plis | Mar 1, 2014 | Publications
Featured
Efficient Distributed Auto-Differentiation

Efficient Distributed Auto-Differentiation

Sergey Plis | Mar 1, 2014 | Publications
Featured
Explicit group sparse projection with applications to deep learning and NMF

Explicit group sparse projection with applications to deep learning and NMF

Sergey Plis | Mar 1, 2014 | Publications
Featured
From private sites to big data without compromising privacy - a case of neuroimaging data classification

From private sites to big data without compromising privacy - a case of neuroimaging data classification

Sergey Plis | Mar 1, 2014 | Publications
Featured
Functional and effective connectivity of stopping

Functional and effective connectivity of stopping

Sergey Plis | Mar 1, 2014 | Publications
Featured
Group-level component analyses of EEG - validation and evaluation

Group-level component analyses of EEG - validation and evaluation

Sergey Plis | Mar 1, 2014 | Publications
Featured
Grouped sparse projection

Grouped sparse projection

Sergey Plis | Mar 1, 2014 | Publications
Featured
High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington’s Disease

High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington’s Disease

Sergey Plis | Mar 1, 2014 | Publications
Featured
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia

High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia

Sergey Plis | Mar 1, 2014 | Publications
Featured
Hype versus hope - deep learning encodes more predictive and robust brain imaging representations than standard machine learning

Hype versus hope - deep learning encodes more predictive and robust brain imaging representations than standard machine learning

Sergey Plis | Mar 1, 2014 | Publications
Featured
Impact of autocorrelation on functional connectivity

Impact of autocorrelation on functional connectivity

Sergey Plis | Mar 1, 2014 | Publications
Featured
Improved differentially private decentralized source separation for fMRI data

Improved differentially private decentralized source separation for fMRI data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Improving classification rate of schizophrenia using a multimodal multi-layer perceptron model with structural and functional MR

Improving classification rate of schizophrenia using a multimodal multi-layer perceptron model with structural and functional MR

Sergey Plis | Mar 1, 2014 | Publications
Featured
Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis

Improving source detection and separation in a spatiotemporal Bayesian inference dipole analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Independent component analysis for brain fMRI does indeed select for maximal independence

Independent component analysis for brain fMRI does indeed select for maximal independence

Sergey Plis | Mar 1, 2014 | Publications
Featured
Learning dynamic structure from undersampled data

Learning dynamic structure from undersampled data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Learnt dynamics generalizes across tasks, datasets, and populations

Learnt dynamics generalizes across tasks, datasets, and populations

Sergey Plis | Mar 1, 2014 | Publications
Featured
MEG and fMRI fusion for non-linear estimation of neural and BOLD signal changes

MEG and fMRI fusion for non-linear estimation of neural and BOLD signal changes

Sergey Plis | Mar 1, 2014 | Publications
Featured
Mesochronal Structure Learning

Mesochronal Structure Learning

Sergey Plis | Mar 1, 2014 | Publications
Featured
Mesochronal Structure Learning

Mesochronal Structure Learning

Sergey Plis | Mar 1, 2014 | Publications
Featured
Modeling spatiotemporal covariance for magnetoencephalography or electroencephalography source analysis

Modeling spatiotemporal covariance for magnetoencephalography or electroencephalography source analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Modeling spatiotemporal noise covariance for MEG EEG source analysis

Modeling spatiotemporal noise covariance for MEG EEG source analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state

Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state

Sergey Plis | Mar 1, 2014 | Publications
Featured
Multi network InfoMax - A pre-training method involving graph convolutional networks

Multi network InfoMax - A pre-training method involving graph convolutional networks

Sergey Plis | Mar 1, 2014 | Publications
Featured
Multidataset independent subspace analysis

Multidataset independent subspace analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Multidataset independent subspace analysis with application to multimodal fusion

Multidataset independent subspace analysis with application to multimodal fusion

Sergey Plis | Mar 1, 2014 | Publications
Featured
Multiplicative updates For Non-Negative Kernel SVM

Multiplicative updates For Non-Negative Kernel SVM

Sergey Plis | Mar 1, 2014 | Publications
Featured
Neurocrypt - Machine learning over encrypted distributed neuroimaging data

Neurocrypt - Machine learning over encrypted distributed neuroimaging data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Patterns of co-occurring gray matter concentration loss across the Huntington disease prodrome

Patterns of co-occurring gray matter concentration loss across the Huntington disease prodrome

Sergey Plis | Mar 1, 2014 | Publications
Featured
Peering Beyond the Gradient Veil with Distributed Auto Differentiation

Peering Beyond the Gradient Veil with Distributed Auto Differentiation

Sergey Plis | Mar 1, 2014 | Publications
Featured
Privacy-preserving quality control of neuroimaging datasets in federated environment

Privacy-preserving quality control of neuroimaging datasets in federated environment

Sergey Plis | Mar 1, 2014 | Publications
Featured
Privacy‐preserving quality control of neuroimaging datasets in federated environments

Privacy‐preserving quality control of neuroimaging datasets in federated environments

Sergey Plis | Mar 1, 2014 | Publications
Featured
Probabilistic forward model for electroencephalography source analysis

Probabilistic forward model for electroencephalography source analysis

Sergey Plis | Mar 1, 2014 | Publications
Featured
Quantitative EEG biomarkers for mild traumatic brain injury

Quantitative EEG biomarkers for mild traumatic brain injury

Sergey Plis | Mar 1, 2014 | Publications
Featured
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

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

Sergey Plis | Mar 1, 2014 | Publications
Featured
Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech

Relationships between alpha oscillations during speech preparation and the listener N400 ERP to the produced speech

Sergey Plis | Mar 1, 2014 | Publications
Featured
Restricted Boltzmann machines for neuroimaging - an application in identifying intrinsic networks

Restricted Boltzmann machines for neuroimaging - an application in identifying intrinsic networks

Sergey Plis | Mar 1, 2014 | Publications
Featured
Run, skeleton, run - skeletal model in a physics-based simulation

Run, skeleton, run - skeletal model in a physics-based simulation

Sergey Plis | Mar 1, 2014 | Publications
Featured
Scalable learning of large networks

Scalable learning of large networks

Sergey Plis | Mar 1, 2014 | Publications
Featured
Self-Supervised Mental Disorder Classifiers via Time Reversal

Self-Supervised Mental Disorder Classifiers via Time Reversal

Sergey Plis | Mar 1, 2014 | Publications
Featured
Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks

Spatio-temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks

Sergey Plis | Mar 1, 2014 | Publications
Featured
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data

Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data

Spatiotemporal noise covariance estimation from limited empirical magnetoencephalographic data

Sergey Plis | Mar 1, 2014 | Publications
Featured
Statelets - high dimensional predominant shapes in dynamic functional network connectivity

Statelets - high dimensional predominant shapes in dynamic functional network connectivity

Sergey Plis | Mar 1, 2014 | Publications
Featured
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network - Evaluation using sensorimotor tasks

Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network - Evaluation using sensorimotor tasks

Sergey Plis | Mar 1, 2014 | Publications
Featured
Tasting the cake - evaluating self-supervised generalization on out-of-distribution multimodal MRI data

Tasting the cake - evaluating self-supervised generalization on out-of-distribution multimodal MRI data

Sergey Plis | Mar 1, 2014 | Publications
Featured
The influence of visuospatial attention on unattended auditory 40 Hz responses

The influence of visuospatial attention on unattended auditory 40 Hz responses

Sergey Plis | Mar 1, 2014 | Publications
Featured
Through the looking glass - Deep interpretable dynamic directed connectivity in resting fMRI

Through the looking glass - Deep interpretable dynamic directed connectivity in resting fMRI

Sergey Plis | Mar 1, 2014 | Publications
Featured
Tracking whole-brain connectivity dynamics in the resting state

Tracking whole-brain connectivity dynamics in the resting state

Sergey Plis | Mar 1, 2014 | Publications
Featured
Transfer learning of fMRI dynamics

Transfer learning of fMRI dynamics

Sergey Plis | Mar 1, 2014 | Publications
Featured
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data

Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data

Sergey Plis | Mar 1, 2014 | Publications

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Advanced Machine Learning

Machine learning studies algorithms that build models from data for subsequent use in prediction, …

| Apr 23, 2021 | Classes
post-image

Causal Learning through Deliberate Undersampling

Authors : Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey Plis

Sergey Plis | Feb 20, 2023 | Publications
post-image

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer’s phenotypes

Authors : Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P DeRamus, Margaux Luck, …

Sergey Plis | Sep 7, 2022 | Publications
post-image

Pipeline-Invariant Representation Learning for Neuroimaging

Authors : Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey Plis, Vince …

Sergey Plis | Aug 27, 2022 | Publications
post-image

Interpreting models interpreting brain dynamics

Authors : Md Rahman, Usman Mahmood, Noah Lewis, Harshvardhan Gazula, Alex Fedorov, Zening Fu, Vince …

Sergey Plis | Jul 21, 2022 | Publications
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neuroneural | Sergey Plis, Ph.D.
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