Sergey Plis
Sergey Plis
TReNDS center: GSU, Emory, and GATech
Verified email at gsu.edu
TitleCited byYear
Tracking whole-brain connectivity dynamics in the resting state
EA Allen, E Damaraju, SM Plis, EB Erhardt, T Eichele, VD Calhoun
Cerebral cortex 24 (3), 663-676, 2014
12772014
Single subject prediction of brain disorders in neuroimaging: promises and pitfalls
MR Arbabshirani, S Plis, J Sui, VD Calhoun
Neuroimage 145, 137-165, 2017
3212017
Deep learning for neuroimaging: a validation study
SM Plis, DR Hjelm, R Salakhutdinov, EA Allen, HJ Bockholt, JD Long, ...
Frontiers in neuroscience 8, 229, 2014
3082014
Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data
A Aliper, S Plis, A Artemov, A Ulloa, P Mamoshina, A Zhavoronkov
Molecular pharmaceutics 13 (7), 2524-2530, 2016
1722016
Analysis of multimodal neuroimaging data
F Biessmann, S Plis, FC Meinecke, T Eichele, KR Muller
IEEE reviews in biomedical engineering 4, 26-58, 2011
1252011
Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks
RD Hjelm, VD Calhoun, R Salakhutdinov, EA Allen, T Adali, SM Plis
NeuroImage 96, 245-260, 2014
992014
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data
SC Jun, JS George, J Paré-Blagoev, SM Plis, DM Ranken, DM Schmidt, ...
NeuroImage 28 (1), 84-98, 2005
722005
Independent component analysis for brain fMRI does indeed select for maximal independence
VD Calhoun, VK Potluru, R Phlypo, RF Silva, BA Pearlmutter, A Caprihan, ...
PloS one 8 (8), 2013
692013
Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia
Q Yu, J Sui, J Liu, SM Plis, KA Kiehl, G Pearlson, VD Calhoun
Schizophrenia research 143 (1), 165-171, 2013
682013
Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state
Q Yu, SM Plis, EB Erhardt, EA Allen, J Sui, KA Kiehl, G Pearlson, ...
Frontiers in systems neuroscience 5, 103, 2012
672012
Impact of autocorrelation on functional connectivity
MR Arbabshirani, E Damaraju, R Phlypo, S Plis, E Allen, S Ma, ...
Neuroimage 102, 294-308, 2014
592014
Task-specific feature extraction and classification of fMRI volumes using a deep neural network initialized with a deep belief network: evaluation using sensorimotor tasks
H Jang, SM Plis, VD Calhoun, JH Lee
NeuroImage 145, 314-328, 2017
542017
Group-level component analyses of EEG: validation and evaluation
R Huster, SM Plis, VD Calhoun
Frontiers in neuroscience 9, 254, 2015
432015
The tenth annual MLSP competition: schizophrenia classification challenge
RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ...
2014 IEEE International Workshop on Machine Learning for Signal Processing …, 2014
372014
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation
AD Sarwate, SM Plis, JA Turner, MR Arbabshirani, VD Calhoun
Frontiers in neuroinformatics 8, 35, 2014
352014
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC
SC Jun, JS George, W Kim, J Paré-Blagoev, S Plis, DM Ranken, ...
NeuroImage 40 (4), 1581-1594, 2008
342008
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms
SM Plis, MP Weisend, E Damaraju, T Eichele, A Mayer, VP Clark, T Lane, ...
Computers in biology and medicine 41 (12), 1156-1165, 2011
312011
Learning causal structure from undersampled time series
D Danks, S Plis
Carnegie Mellon University, 2013
302013
Functional and effective connectivity of stopping
RJ Huster, SM Plis, CF Lavallee, VD Calhoun, CS Herrmann
Neuroimage 94, 120-128, 2014
292014
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes
SM Plis, VD Calhoun, T Eichele, MP Weisend, T Lane
Frontiers in neuroinformatics 4, 114, 2010
242010
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Articles 1–20