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Sergey M. Plis, Ph.D. - Publications

Affiliations: 
2007 University of New Mexico, Albuquerque, NM, United States 
Area:
Computer Science
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56 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Fedorov A, Geenjaar E, Wu L, Sylvain T, DeRamus TP, Luck M, Misiura M, Mittapalle G, Hjelm RD, Plis SM, Calhoun VD. Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. Neuroimage. 120485. PMID 38110045 DOI: 10.1016/j.neuroimage.2023.120485  0.35
2023 Kashyap A, Plis S, Ritter P, Keilholz S. A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data. Frontiers in Neuroscience. 17: 1159914. PMID 37529235 DOI: 10.3389/fnins.2023.1159914  0.374
2022 Mahmood U, Fu Z, Ghosh S, Calhoun V, Plis S. Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI. Neuroimage. 264: 119737. PMID 36356823 DOI: 10.1016/j.neuroimage.2022.119737  0.36
2022 Falakshahi H, Rokham H, Fu Z, Iraji A, Mathalon DH, Ford JM, Mueller BA, Preda A, van Erp TGM, Turner JA, Plis S, Calhoun VD. Path analysis: A method to estimate altered pathways in time-varying graphs of neuroimaging data. Network Neuroscience (Cambridge, Mass.). 6: 634-664. PMID 36204419 DOI: 10.1162/netn_a_00247  0.304
2022 Rahman MM, Mahmood U, Lewis N, Gazula H, Fedorov A, Fu Z, Calhoun VD, Plis SM. Interpreting models interpreting brain dynamics. Scientific Reports. 12: 12023. PMID 35864279 DOI: 10.1038/s41598-022-15539-2  0.313
2022 Basodi S, Raja R, Ray B, Gazula H, Sarwate AD, Plis S, Liu J, Verner E, Calhoun VD. Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics. PMID 35380365 DOI: 10.1007/s12021-022-09570-x  0.337
2022 Rahaman MA, Damaraju E, Saha DK, Plis SM, Calhoun VD. Statelets: Capturing recurrent transient variations in dynamic functional network connectivity. Human Brain Mapping. PMID 35274791 DOI: 10.1002/hbm.25799  0.353
2021 Abrol A, Hassanzadeh R, Plis S, Calhoun V. Deep learning in resting-state fMRI. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3965-3969. PMID 34892099 DOI: 10.1109/EMBC46164.2021.9630257  0.377
2021 Geenjaar E, Lewis N, Fu Z, Venkatdas R, Plis S, Calhoun V. Fusing multimodal neuroimaging data with a variational autoencoder. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 3630-3633. PMID 34892024 DOI: 10.1109/EMBC46164.2021.9630806  0.329
2021 Qi S, Silva RF, Zhang D, Plis SM, Miller R, Vergara VM, Jiang R, Zhi D, Sui J, Calhoun VD. Three-way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data. Human Brain Mapping. PMID 34811846 DOI: 10.1002/hbm.25720  0.404
2021 Rootes-Murdy K, Gazula H, Verner E, Kelly R, DeRamus T, Plis S, Sarwate A, Turner J, Calhoun V. Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics. PMID 34807353 DOI: 10.1007/s12021-021-09550-7  0.332
2021 Gazula H, Holla B, Zhang Z, Xu J, Verner E, Kelly R, Jain S, Bharath RD, Barker GJ, Basu D, Chakrabarti A, Kalyanram K, Kumaran K, Singh L, Kuriyan R, ... ... Plis SM, et al. Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis. Neuroinformatics. PMID 33462781 DOI: 10.1007/s12021-020-09502-7  0.331
2020 Silva RF, Plis SM, Adali T, Pattichis MS, Calhoun VD. Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33031036 DOI: 10.1109/TIP.2020.3028452  0.301
2020 Baker BT, Damaraju E, Silva RF, Plis SM, Calhoun VD. Decentralized dynamic functional network connectivity: State analysis in collaborative settings. Human Brain Mapping. PMID 32319193 DOI: 10.1002/Hbm.24986  0.323
2020 Falakshahi H, Rokham H, Vergara V, Plis S, Calhoun V. A Method for Analyzing Abnormal Integration Between the Brain Regions in Schizophrenia Biological Psychiatry. 87: S136. DOI: 10.1016/J.Biopsych.2020.02.362  0.319
2019 Lewis N, Gazula H, Plis SM, Calhoun VD. Decentralized distribution-sampled classification models with application to brain imaging. Journal of Neuroscience Methods. 329: 108418. PMID 31630085 DOI: 10.1016/J.Jneumeth.2019.108418  0.395
2019 Danks D, Plis S. Amalgamating evidence of dynamics. Synthese. 196: 3213-3230. PMID 31527987 DOI: 10.1007/S11229-017-1568-8  0.347
2018 Baker BT, Abrol A, Silva RF, Damaraju E, Sarwate AD, Calhoun VD, Plis SM. Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. Neuroimage. PMID 30408598 DOI: 10.1016/J.Neuroimage.2018.10.072  0.446
2018 Hjelm RD, Damaraju E, Cho K, Laufs H, Plis SM, Calhoun VD. Spatio-Temporal Dynamics of Intrinsic Networks in Functional Magnetic Imaging Data Using Recurrent Neural Networks. Frontiers in Neuroscience. 12: 600. PMID 30294250 DOI: 10.3389/Fnins.2018.00600  0.407
2018 Gazula H, Baker BT, Damaraju E, Plis SM, Panta SR, Silva RF, Calhoun VD. Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. Frontiers in Neuroinformatics. 12: 55. PMID 30210327 DOI: 10.3389/Fninf.2018.00055  0.461
2018 Amin MF, Plis SM, Chekroud A, Hjelm D, Damaraju E, Lee HJ, Bustillo JR, Cho K, Pearlson GD, Calhoun VD. 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. PMID 30055372 DOI: 10.1016/J.Neuroimage.2018.07.047  0.463
2018 Ciarochi JA, Liu J, Calhoun V, Johnson H, Misiura M, Bockholt HJ, Espinoza FA, Caprihan A, Plis S, Turner JA, Paulsen JS. High and Low Levels of an NTRK2-Driven Genetic Profile Affect Motor- and Cognition-Associated Frontal Gray Matter in Prodromal Huntington's Disease. Brain Sciences. 8. PMID 29932126 DOI: 10.3390/Brainsci8070116  0.323
2018 Calhoun V, Plis S. 205. Deep Learning Approaches to Unimodal and Multimodal Analysis of Brain Imaging Data With Applications to Mental Illness Biological Psychiatry. 83: S82-S83. DOI: 10.1016/J.Biopsych.2018.02.224  0.384
2017 Hyttinen A, Plis S, Järvisalo M, Eberhardt F, Danks D. A Constraint Optimization Approach to Causal Discovery from Subsampled Time Series Data. International Journal of Approximate Reasoning : Official Publication of the North American Fuzzy Information Processing Society. 90: 208-225. PMID 29755201 DOI: 10.1016/J.Ijar.2017.07.009  0.368
2017 Ming J, Verner E, Sarwate A, Kelly R, Reed C, Kahleck T, Silva R, Panta S, Turner J, Plis S, Calhoun V. COINSTAC: Decentralizing the future of brain imaging analysis. F1000research. 6: 1512. PMID 29123643 DOI: 10.12688/F1000Research.12353.1  0.447
2017 Bridwell DA, Leslie E, McCoy DQ, Plis SM, Calhoun VD. Cortical Sensitivity to Guitar Note Patterns: EEG Entrainment to Repetition and Key. Frontiers in Human Neuroscience. 11: 90. PMID 28298889 DOI: 10.3389/Fnhum.2017.00090  0.311
2016 Silva RF, Plis SM, Sui J, Pattichis MS, Adalı T, Calhoun VD. Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. Ieee Journal of Selected Topics in Signal Processing. 10: 1134-1149. PMID 28461840 DOI: 10.1109/Jstsp.2016.2594945  0.428
2016 Ciarochi JA, Calhoun VD, Lourens S, Long JD, Johnson HJ, Bockholt HJ, Liu J, Plis SM, Paulsen JS, Turner JA. Patterns of Co-Occurring Gray Matter Concentration Loss across the Huntington Disease Prodrome. Frontiers in Neurology. 7: 147. PMID 27708610 DOI: 10.3389/Fneur.2016.00147  0.336
2016 Plis SM, Sarwate AD, Wood D, Dieringer C, Landis D, Reed C, Panta SR, Turner JA, Shoemaker JM, Carter KW, Thompson P, Hutchison K, Calhoun VD. COINSTAC: A Privacy Enabled Model and Prototype for Leveraging and Processing Decentralized Brain Imaging Data. Frontiers in Neuroscience. 10: 365. PMID 27594820 DOI: 10.3389/Fnins.2016.00365  0.41
2016 Aliper A, Plis S, Artemov A, Ulloa A, Mamoshina P, Zhavoronkov A. Deep learning applications for predicting pharmacological properties of drugs and drug repurposing using transcriptomic data. Molecular Pharmaceutics. PMID 27200455 DOI: 10.1021/Acs.Molpharmaceut.6B00248  0.336
2016 Jang H, Plis SM, Calhoun VD, Lee JH. 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. PMID 27079534 DOI: 10.1016/J.Neuroimage.2016.04.003  0.374
2016 Panta SR, Wang R, Fries J, Kalyanam R, Speer N, Banich M, Kiehl K, King M, Milham M, Wager TD, Turner JA, Plis SM, Calhoun VD. A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets. Frontiers in Neuroinformatics. 10: 9. PMID 27014049 DOI: 10.3389/Fninf.2016.00009  0.436
2016 Arbabshirani MR, Plis S, Sui J, Calhoun VD. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. Neuroimage. PMID 27012503 DOI: 10.1016/J.Neuroimage.2016.02.079  0.375
2016 Castro E, Hjelm RD, Plis S, Dihn L, Turner J, Calhoun V. Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia. Ieee Transactions On Medical Imaging. PMID 26891483 DOI: 10.1109/Tmi.2016.2527717  0.449
2016 Amin MF, Plis SM, Damaraju E, Hjelm D, Cho K, Calhoun VD. Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 2016: 1-4. DOI: 10.1109/SSIAI.2016.7459160  0.369
2015 Huster RJ, Plis SM, Calhoun VD. Group-level component analyses of EEG: validation and evaluation. Frontiers in Neuroscience. 9: 254. PMID 26283897 DOI: 10.3389/Fnins.2015.00254  0.444
2015 Baker BT, Silva RF, Calhoun VD, Sarwate AD, Plis SM. Large scale collaboration with autonomy: Decentralized data ICA Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. 2015. DOI: 10.1109/MLSP.2015.7324344  0.304
2014 Plis SM, Hjelm DR, Salakhutdinov R, Allen EA, Bockholt HJ, Long JD, Johnson HJ, Paulsen JS, Turner JA, Calhoun VD. Deep learning for neuroimaging: a validation study. Frontiers in Neuroscience. 8: 229. PMID 25191215 DOI: 10.3389/Fnins.2014.00229  0.389
2014 Arbabshirani MR, Damaraju E, Phlypo R, Plis S, Allen E, Ma S, Mathalon D, Preda A, Vaidya JG, Adali T, Calhoun VD. Impact of autocorrelation on functional connectivity. Neuroimage. 102: 294-308. PMID 25072392 DOI: 10.1016/J.Neuroimage.2014.07.045  0.374
2014 Sarwate AD, Plis SM, Turner JA, Arbabshirani MR, Calhoun VD. Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers in Neuroinformatics. 8: 35. PMID 24778614 DOI: 10.3389/Fninf.2014.00035  0.414
2014 Silva RF, Plis SM, Adalı T, Calhoun VD. A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging. Neuroimage. 102: 92-117. PMID 24747087 DOI: 10.1016/J.Neuroimage.2014.04.035  0.393
2014 Hjelm RD, Calhoun VD, Salakhutdinov R, Allen EA, Adali T, Plis SM. Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. Neuroimage. 96: 245-60. PMID 24680869 DOI: 10.1016/J.Neuroimage.2014.03.048  0.453
2014 Huster RJ, Plis SM, Lavallee CF, Calhoun VD, Herrmann CS. Functional and effective connectivity of stopping. Neuroimage. 94: 120-8. PMID 24631789 DOI: 10.1016/J.Neuroimage.2014.02.034  0.355
2014 Plis SM, Sui J, Lane T, Roy S, Clark VP, Potluru VK, Huster RJ, Michael A, Sponheim SR, Weisend MP, Calhoun VD. High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. Neuroimage. 102: 35-48. PMID 23876245 DOI: 10.1016/J.Neuroimage.2013.07.041  0.449
2014 Allen EA, Damaraju E, Plis SM, Erhardt EB, Eichele T, Calhoun VD. Tracking whole-brain connectivity dynamics in the resting state. Cerebral Cortex (New York, N.Y. : 1991). 24: 663-76. PMID 23146964 DOI: 10.1093/Cercor/Bhs352  0.427
2014 Plis S, Hjelm RD, Salakhutdinov R, Bockholt H, Long J, Johnson H, Paulsen J, Turner J, Calhoun V. Deep learning models for brain imaging: model depth enhances discovery power F1000research. 5. DOI: 10.7490/F1000Research.1096273.1  0.339
2014 Plis S, Sarwate A, Turner J, Arbabshirani M, Calhoun V. From private sites to big data without compromising privacy: A case of neuroimaging data classification Value in Health. 17: A190. DOI: 10.1016/J.Jval.2014.03.1108  0.335
2013 Calhoun VD, Potluru VK, Phlypo R, Silva RF, Pearlmutter BA, Caprihan A, Plis SM, Adal? T. Independent component analysis for brain FMRI does indeed select for maximal independence. Plos One. 8: e73309. PMID 24009746 DOI: 10.1371/Journal.Pone.0073309  0.366
2013 Yu Q, Sui J, Liu J, Plis SM, Kiehl KA, Pearlson G, Calhoun VD. Disrupted correlation between low frequency power and connectivity strength of resting state brain networks in schizophrenia. Schizophrenia Research. 143: 165-71. PMID 23182443 DOI: 10.1016/J.Schres.2012.11.001  0.372
2011 Yu Q, Plis SM, Erhardt EB, Allen EA, Sui J, Kiehl KA, Pearlson G, Calhoun VD. Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State. Frontiers in Systems Neuroscience. 5: 103. PMID 22275887 DOI: 10.3389/Fnsys.2011.00103  0.429
2011 Biessmann F, Plis S, Meinecke FC, Eichele T, Müller KR. Analysis of multimodal neuroimaging data. Ieee Reviews in Biomedical Engineering. 4: 26-58. PMID 22273790 DOI: 10.1109/Rbme.2011.2170675  0.44
2011 Plis SM, Weisend MP, Damaraju E, Eichele T, Mayer A, Clark VP, Lane T, Calhoun VD. Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Computers in Biology and Medicine. 41: 1156-65. PMID 21592468 DOI: 10.1016/J.Compbiomed.2011.04.011  0.466
2010 Plis SM, Calhoun VD, Weisend MP, Eichele T, Lane T. MEG and fMRI Fusion for Non-Linear Estimation of Neural and BOLD Signal Changes. Frontiers in Neuroinformatics. 4: 114. PMID 21120141 DOI: 10.3389/Fninf.2010.00114  0.405
2009 Roy S, Plis S, Werner-Washburne M, Lane T. Scalable learning of large networks. Iet Systems Biology. 3: 404-13. PMID 21028930 DOI: 10.1049/Iet-Syb.2008.0161  0.349
2008 Jun SC, George JS, Kim W, Paré-Blagoev J, Plis S, Ranken DM, Schmidt DM. Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC. Neuroimage. 40: 1581-94. PMID 18314351 DOI: 10.1016/J.Neuroimage.2007.12.029  0.464
2005 Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC. Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data. Neuroimage. 28: 84-98. PMID 16023866 DOI: 10.1016/J.Neuroimage.2005.06.003  0.389
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