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ORCIDSergey M. Plis
Person information
- affiliation: Georgia State University, Atlanta, Georgia, USA
- affiliation: Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, Georgia, USA
- affiliation (former): Mind Research Network (MRN), Albuquerque, NM, USA
- affiliation (former): University of New Mexico, Albuquerque, Department of Computer Science, USA
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2020 – today
- 2024
[j40]Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Efficient federated learning for distributed neuroimaging data. Frontiers Neuroinformatics 18 (2024)- [j39]Mohamed Masoud
, David A. Gutman, Sergey M. Plis:
HistoJS: Web-Based Analytical Tool for Advancing Multiplexed Images. J. Open Source Softw. 9(94): 6317 (2024) - [j38]Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 285: 120485 (2024) - [j37]Kelly Rootes-Murdy, Sandeep R. Panta, Ross Kelly, Javier Tomas Romero, Yann Quidé, Murray J. Cairns, C. M. Loughland, Vaughan J. Carr, Stanley V. Catts, Assen Jablensky, Melissa J. Green, Frans Henskens, Dylan Kiltschewskij, Patricia T. Michie, Bryan J. Mowry, Christos Pantelis, Paul E. Rasser, William R. Reay, Ulrich Schall, Rodney J. Scott, Oliver J. Watkeys, Gloria M. P. Roberts, Philip B. Mitchell, Janice M. Fullerton, Bronwyn J. Overs, Masataka Kikuchi, Ryota Hashimoto, Junya Matsumoto, Masaki Fukunaga, Perminder S. Sachdev, Henry Brodaty, Wei Wen, Jiyang Jiang, Negar Fani, Timothy D. Ely, Adriana Lorio, Jennifer S. Stevens, Kerry J. Ressler, Tanja Jovanovic, Sanne J. H. van Rooij, Lydia M. Federmann, Christiane Jockwitz, Alexander Teumer, Andreas J. Forstner, Svenja Caspers, Sven Cichon, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC. Patterns 5(7): 100987 (2024) - [c48]Mohamed Masoud, Pratyush Reddy, Farfalla Hu, Sergey M. Plis:
Brainchop: Advancing the Frontier of Web-Based Neuroimaging. ISBI 2024: 1-5 - [c47]Ye Tao, Anand D. Sarwate, Sandeep R. Panta, Sergey M. Plis, Vince D. Calhoun:
Privacy-Preserving Visualization of Brain Functional Network Connectivity. ISBI 2024: 1-5 - [d1]Vince D. Calhoun, Sergey M. Plis, Jessica A. Turner, Anand D. Sarwate:
COINSTAC: Decentralizing the future of brain imaging analysis. Zenodo, 2024
- [i42]Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis:
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR abs/2402.06751 (2024) - [i41]Riyasat Ohib, Bishal Thapaliya, Gintare Karolina Dziugaite, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning. CoRR abs/2405.09037 (2024) - [i40]Bradley T. Baker, Vince D. Calhoun, Sergey M. Plis:
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging. CoRR abs/2406.11825 (2024) - 2023
- [j36]Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun:
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023) - [j35]Mohamed Masoud, Farfalla Hu, Sergey M. Plis:
Brainchop: In-browser MRI volumetric segmentation and rendering. J. Open Source Softw. 8(83): 5098 (2023) - [j34]Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivières, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny A. Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun:
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21(2): 287-301 (2023) - [c46]Kseniya Solovyeva, David Danks, Mohammadsajad Abavisani, Sergey M. Plis:
Causal Learning through Deliberate Undersampling. CLeaR 2023: 518-530 - [c45]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. ICASSP 2023: 1-5 - [c44]Mohammadsajad Abavisani, David Danks, Sergey M. Plis:
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints. ICLR 2023 - [c43]Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis:
Self-Supervised Mental Disorder Classifiers via Time Reversal. IJCNN 2023: 1-7 - [i39]Riyasat Ohib, Bishal Thapaliya, Pratyush Gaggenapalli, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis:
SalientGrads: Sparse Models for Communication Efficient and Data Aware Distributed Federated Training. CoRR abs/2304.07488 (2023) - [i38]Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun:
Learning low-dimensional dynamics from whole-brain data improves task capture. CoRR abs/2305.14369 (2023) - [i37]Md. Mahfuzur Rahman, Vince D. Calhoun, Sergey M. Plis:
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey. CoRR abs/2307.09615 (2023) - [i36]Mohamed Masoud, Pratyush Reddy, Farfalla Hu, Sergey M. Plis:
Brainchop: Next Generation Web-Based Neuroimaging Application. CoRR abs/2310.16162 (2023) - [i35]Mrinal Mathur, Sergey M. Plis:
DynaLay: An Introspective Approach to Dynamic Layer Selection for Deep Networks. CoRR abs/2312.12781 (2023) - 2022
- [j33]Usman Mahmood, Zening Fu, Satrajit S. Ghosh, Vince D. Calhoun, Sergey M. Plis:
Through the looking glass: Deep interpretable dynamic directed connectivity in resting fMRI. NeuroImage 264: 119737 (2022) - [j32]Nipuna Senanayake, Robert Podschwadt, Daniel Takabi, Vince D. Calhoun, Sergey M. Plis:
NeuroCrypt: Machine Learning Over Encrypted Distributed Neuroimaging Data. Neuroinformatics 20(1): 91-108 (2022) - [j31]Kelly Rootes-Murdy, Harshvardhan Gazula, Eric Verner, Ross Kelly, Thomas DeRamus, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun:
Federated Analysis of Neuroimaging Data: A Review of the Field. Neuroinformatics 20(2): 377-390 (2022) - [j30]Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun:
Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics 20(4): 981-990 (2022) - [j29]Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun:
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39(2): 87-98 (2022) - [j28]Riyasat Ohib, Nicolas Gillis, Niccolò Dalmasso, Sameena Shah, Vamsi K. Potluru, Sergey M. Plis:
Explicit Group Sparse Projection with Applications to Deep Learning and NMF. Trans. Mach. Learn. Res. 2022 (2022) - [c42]Xinhui Li, Eloy Geenjaar, Zening Fu, Sergey M. Plis, Vince D. Calhoun:
Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. EMBC 2022: 1477-1480 - [c41]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. IJCNN 2022: 1-10 - [c40]Yaorong Xiao, William Ashbee, Vince D. Calhoun, Sergey M. Plis:
Refacing Defaced MRI with PixelCNN. IJCNN 2022: 1-7 - [i34]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. CoRR abs/2202.02393 (2022) - [i33]Mohammadsajad Abavisani, David Danks, Sergey M. Plis:
Constraint-Based Causal Structure Learning from Undersampled Graphs. CoRR abs/2205.09235 (2022) - [i32]Md Mahfuzur Rahman, Noah Lewis, Sergey M. Plis:
Geometrically Guided Integrated Gradients. CoRR abs/2206.05903 (2022) - [i31]Xinhui Li, Alex Fedorov, Mrinal Mathur, Anees Abrol, Gregory Kiar, Sergey M. Plis, Vince D. Calhoun:
Pipeline-Invariant Representation Learning for Neuroimaging. CoRR abs/2208.12909 (2022) - [i30]Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. CoRR abs/2209.02876 (2022) - [i29]Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis:
Self-Supervised Mental Disorder Classifiers via Time Reversal. CoRR abs/2211.16398 (2022) - 2021
- [j27]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
A Deep Learning Model for Data-Driven Discovery of Functional Connectivity. Algorithms 14(3): 75 (2021) - [j26]Debbrata K. Saha, Eswar Damaraju, Barnaly Rashid, Anees Abrol, Sergey M. Plis, Vince D. Calhoun:
A Classification-Based Approach to Estimate the Number of Resting Functional Magnetic Resonance Imaging Dynamic Functional Connectivity States. Brain Connect. 11(2): 132-145 (2021) - [j25]Harshvardhan Gazula, Bharath Holla, Zuo Zhang, Jiayuan Xu, Eric Verner, Ross Kelly, Sanjeev Jain, Rose Dawn Bharath, Gareth J. Barker, Debasish Basu, Amit Chakrabarti, Kartik Kalyanram, Kalyanaraman Kumaran, Rajkumar Lenin Singh, Rebecca Kuriyan, Pratima Murthy, Vivek Benega, Sergey M. Plis, Anand D. Sarwate, Jessica A. Turner, Gunter Schumann, Vince D. Calhoun:
Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis. Neuroinformatics 19(4): 553-566 (2021) - [j24]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis With Application to Multimodal Fusion. IEEE Trans. Image Process. 30: 588-602 (2021) - [j23]Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. 69: 6355-6370 (2021) - [c39]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun:
Fusing multimodal neuroimaging data with a variational autoencoder. EMBC 2021: 3630-3633 - [c38]Anees Abrol, Reihaneh Hassanzadeh, Sergey M. Plis, Vince D. Calhoun:
Deep learning in resting-state fMRI*. EMBC 2021: 3965-3969 - [c37]Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. ICHI 2021: 23-30 - [c36]Noah Lewis, Robyn L. Miller, Harshvardhan Gazula, Md Mahfuzur Rahman, Armin Iraji, Vince D. Calhoun, Sergey M. Plis:
Can recurrent models know more than we do? ICHI 2021: 243-247 - [c35]Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On Self-Supervised Multimodal Representation Learning: An Application To Alzheimer's Disease. ISBI 2021: 1548-1552 - [c34]Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun:
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI 2021: 1577-1581 - [c33]Md Abdur Rahaman, Eswar Damaraju, Debbrata Kumar Saha, Vince D. Calhoun, Sergey M. Plis:
Statelets: A Novel Multi-Dimensional State-Shape Representation Of Brain Functional Connectivity Dynamics. ISBI 2021: 1822-1826 - [i28]Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis:
Efficient Distributed Auto-Differentiation. CoRR abs/2102.09631 (2021) - [i27]Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis:
Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data. CoRR abs/2103.15914 (2021) - [i26]Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun:
Fusing multimodal neuroimaging data with a variational autoencoder. CoRR abs/2105.01128 (2021) - [i25]Charles A. Ellis, Mohammad S. Eslampanah Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun:
Algorithm-Agnostic Explainability for Unsupervised Clustering. CoRR abs/2105.08053 (2021) - [i24]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Brain dynamics via Cumulative Auto-Regressive Self-Attention. CoRR abs/2111.01271 (2021) - [i23]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Multi network InfoMax: A pre-training method involving graph convolutional networks. CoRR abs/2111.01276 (2021) - [i22]Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
A deep learning model for data-driven discovery of functional connectivity. CoRR abs/2112.04013 (2021) - [i21]Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Doina Precup:
Single-Shot Pruning for Offline Reinforcement Learning. CoRR abs/2112.15579 (2021) - 2020
- [j22]Harshvardhan Gazula, Ross Kelly, Javier Tomas Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 5(54): 2166 (2020) - [j21]Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Meta-Modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. IEEE Trans. Biomed. Eng. 67(9): 2572-2584 (2020) - [c32]Haleh Falakshahi, Hooman Rokham, Zening Fu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Armin Iraji, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. BIBE 2020: 417-424 - [c31]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. MICCAI (7) 2020: 407-417 - [i20]Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia. CoRR abs/2001.01707 (2020) - [i19]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations. CoRR abs/2007.16041 (2020) - [i18]Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun:
On self-supervised multi-modal representation learning: An application to Alzheimer's disease. CoRR abs/2012.13619 (2020) - [i17]Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis:
Taxonomy of multimodal self-supervised representation learning. CoRR abs/2012.13623 (2020)
2010 – 2019
- 2019
- [j20]Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis:
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186: 557-569 (2019) - [j19]David Danks, Sergey M. Plis:
Amalgamating evidence of dynamics. Synth. 196(8): 3213-3230 (2019) - [c30]Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun:
Prediction of Progression to Alzheimer's disease with Deep InfoMax. BHI 2019: 1-5 - [c29]Debbrata K. Saha, Anees Abrol, Eswar Damaraju, Barnaly Rashid, Sergey M. Plis, Vince D. Calhoun:
Classification As a Criterion to Select Model Order For Dynamic Functional Connectivity States in Rest-fMRI Data. ISBI 2019: 1602-1605 - [i16]Alex Fedorov, R. Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey M. Plis, Vince D. Calhoun:
Prediction of Progression to Alzheimer's disease with Deep InfoMax. CoRR abs/1904.10931 (2019) - [i15]Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR abs/1910.12913 (2019) - [i14]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. CoRR abs/1911.04048 (2019) - [i13]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Sergey M. Plis:
Transfer Learning of fMRI Dynamics. CoRR abs/1911.06813 (2019) - [i12]Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Zening Fu, Vince D. Calhoun, Sergey M. Plis:
Learnt dynamics generalizes across tasks, datasets, and populations. CoRR abs/1912.03130 (2019) - [i11]Nicolas Gillis, Riyasat Ohib, Sergey M. Plis, Vamsi K. Potluru:
Grouped sparse projection. CoRR abs/1912.03896 (2019) - 2018
- [j18]Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun:
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. Frontiers Neuroinformatics 12: 55 (2018) - [j17]Sergey M. Plis, Md Faijul Amin, Adam Chekroud, R. Devon Hjelm, Eswar Damaraju, Hyo Jong Lee, Juan R. Bustillo, KyungHyun Cho, Godfrey D. Pearlson, Vince D. Calhoun:
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 181: 734-747 (2018) - [c28]Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis:
Run, Skeleton, Run: Skeletal Model in a Physics-Based Simulation. AAAI Spring Symposia 2018 - [i10]Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp:
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR abs/1804.00361 (2018) - [i9]Alvaro Ulloa, Sergey M. Plis, Vince D. Calhoun:
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR. CoRR abs/1804.04591 (2018) - 2017
- [j16]Antti Hyttinen, Sergey M. Plis, Matti Järvisalo, Frederick Eberhardt, David Danks:
A constraint optimization approach to causal discovery from subsampled time series data. Int. J. Approx. Reason. 90: 208-225 (2017) - [j15]Mohammad R. Arbabshirani, Sergey M. Plis, Jing Sui, Vince D. Calhoun:
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage 145: 137-165 (2017) - [j14]Hojin Jang, Sergey M. Plis, Vince D. Calhoun, Jong-Hwan Lee:
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 145: 314-328 (2017) - [c27]Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Decentralized independent vector analysis. ICASSP 2017: 826-830 - [c26]Vince D. Calhoun, Md Faijul Amin, R. Devon Hjelm, Eswar Damaraju, Sergey M. Plis:
A deep-learning approach to translate between brain structure and functional connectivity. ICASSP 2017: 6155-6159 - [c25]Debbrata K. Saha, Vince D. Calhoun, Sandeep R. Panta, Sergey M. Plis:
See without looking: joint visualization of sensitive multi-site datasets. IJCAI 2017: 2672-2678 - [c24]Noah Lewis, Sergey M. Plis, Vince D. Calhoun:
Cooperative learning: Decentralized data neural network. IJCNN 2017: 324-331 - [c23]Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis:
End-to-end learning of brain tissue segmentation from imperfect labeling. IJCNN 2017: 3785-3792 - [c22]Weizheng Yan, Sergey M. Plis, Vince D. Calhoun, Shengfeng Liu, Rongtao Jiang, Tian-Zi Jiang, Jing Sui:
Discriminating schizophrenia from normal controls using resting state functional network connectivity: A deep neural network and layer-wise relevance propagation method. MLSP 2017: 1-6 - [i8]Alex Fedorov, Eswar Damaraju, Vince D. Calhoun, Sergey M. Plis:
Almost instant brain atlas segmentation for large-scale studies. CoRR abs/1711.00457 (2017) - [i7]Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis:
Run, skeleton, run: skeletal model in a physics-based simulation. CoRR abs/1711.06922 (2017) - [i6]Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 6: 1512- (2017) - 2016
- [j13]Sandeep R. Panta, Runtang Wang, Jill Fries, Ravi Kalyanam, Nicole K. Speer, Marie T. Banich, Kent A. Kiehl, Margaret D. King, Michael P. Milham, Tor D. Wager, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
A Tool for Interactive Data Visualization: Application to Over 10, 000 Brain Imaging and Phantom MRI Data Sets. Frontiers Neuroinformatics 10: 9 (2016) - [j12]Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun:
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J. Sel. Top. Signal Process. 10(7): 1134-1149 (2016) - [c21]Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Privacy-preserving source separation for distributed data using independent component analysis. CISS 2016: 123-127 - [c20]Liyang Xie, Sergey M. Plis, Anand D. Sarwate:
Data-weighted ensemble learning for privacy-preserving distributed learning. ICASSP 2016: 2309-2313 - [c19]Antti Hyttinen, Sergey M. Plis, Matti Järvisalo, Frederick Eberhardt, David Danks:
Causal Discovery from Subsampled Time Series Data by Constraint Optimization. Probabilistic Graphical Models 2016: 216-227 - [c18]Md Faijul Amin, Sergey M. Plis, Eswar Damaraju, R. Devon Hjelm, Kyunghyun Cho, Vince D. Calhoun:
Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach. SSIAI 2016: 1-4 - [i5]Antti Hyttinen, Sergey M. Plis, Matti Järvisalo, Frederick Eberhardt, David Danks:
Causal Discovery from Subsampled Time Series Data by Constraint Optimization. CoRR abs/1602.07970 (2016) - [i4]R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data. CoRR abs/1603.06624 (2016) - [i3]R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun:
Recurrent Neural Networks for Spatiotemporal Dynamics of Intrinsic Networks from fMRI Data. CoRR abs/1611.00864 (2016) - [i2]Alex Fedorov, Jeremy Johnson, Eswar Damaraju, Alexei Ozerin, Vince D. Calhoun, Sergey M. Plis:
End-to-end learning of brain tissue segmentation from imperfect labeling. CoRR abs/1612.00940 (2016) - 2015
- [c17]Eduardo Castro, Alvaro Ulloa, Sergey M. Plis, Jessica A. Turner, Vince D. Calhoun:
Generation of synthetic structural magnetic resonance images for deep learning pre-training. ISBI 2015: 1057-1060 - [c16]Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Large scale collaboration with autonomy: Decentralized data ICA. MLSP 2015: 1-6 - [c15]Eduardo Castro, R. Devon Hjelm, Sergey M. Plis, Laurent Dinh, Jessica A. Turner, Vince D. Calhoun:
Deep independence network analysis of structural brain imaging: A simulation study. MLSP 2015: 1-6 - [c14]Alvaro Ulloa, Sergey M. Plis, Erik B. Erhardt, Vince D. Calhoun:
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. MLSP 2015: 1-6 - [c13]Sergey M. Plis, David Danks, Cynthia Freeman, Vince D. Calhoun:
Rate-Agnostic (Causal) Structure Learning. NIPS 2015: 3303-3311 - [c12]Sergey M. Plis, David Danks, Jianyu Yang:
Mesochronal Structure Learning. UAI 2015: 702-711 - 2014
- [j11]Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad Arbabshirani, Vince D. Calhoun:
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers Neuroinformatics 8: 35 (2014) - [j10]René J. Huster, Sergey M. Plis, Christina F. Lavallee, Vince D. Calhoun, Christoph S. Herrmann:
Functional and effective connectivity of stopping. NeuroImage 94: 120-128 (2014) - [j9]R. Devon Hjelm, Vince D. Calhoun, Ruslan Salakhutdinov, Elena A. Allen, Tülay Adali, Sergey M. Plis:
Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks. NeuroImage 96: 245-260 (2014) - [j8]Sergey M. Plis, Jing Sui, Terran Lane, Sushmita Roy, Vincent P. Clark, Vamsi K. Potluru, René J. Huster, Andrew Michael, Scott R. Sponheim, Michael P. Weisend, Vince D. Calhoun:
High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia. NeuroImage 102: 35-48 (2014) - [j7]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun:
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging. NeuroImage 102: 92-117 (2014) - [j6]Mohammad R. Arbabshirani, Eswar Damaraju, Ronald Phlypo, Sergey M. Plis, Elena A. Allen, Sai Ma, Daniel H. Mathalon, Adrian Preda, Jatin G. Vaidya, Tülay Adali, Vince D. Calhoun:
Impact of autocorrelation on functional connectivity. NeuroImage 102: 294-308 (2014) - [c11]Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun:
Multidataset independent subspace analysis extends independent vector analysis. ICIP 2014: 2864-2868 - [c10]Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun:
The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP 2014: 1-6 - [c9]Sergey M. Plis, R. Devon Hjelm, Ruslan Salakhutdinov, Vince D. Calhoun:
Deep learning for neuroimaging: a validation study. ICLR (Workshop Poster) 2014 - 2013
- [c8]Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes:
Block Coordinate Descent for Sparse NMF. ICLR (Poster) 2013 - 2011
- [j5]Sergey M. Plis, Michael P. Weisend, Eswar Damaraju, Tom Eichele, Andy R. Mayer, Vincent P. Clark, Terran Lane, Vince D. Calhoun:
Effective connectivity analysis of fMRI and MEG data collected under identical paradigms. Comput. Biol. Medicine 41(12): 1156-1165 (2011) - [j4]Sergey M. Plis, Vamsi K. Potluru, Terran Lane, Vince D. Calhoun:
Correlated Noise: How it Breaks NMF, and What to Do About it. J. Signal Process. Syst. 65(3): 351-359 (2011) - [c7]Vamsi K. Potluru, Sergey M. Plis, Shuang Luan, Vince D. Calhoun, Thomas P. Hayes:
Sparseness and a reduction from Totally Nonnegative Least Squares to SVM. IJCNN 2011: 1922-1929 - [c6]Sergey M. Plis, Stephen McCracken, Terran Lane, Vince D. Calhoun:
Directional Statistics on Permutations. AISTATS 2011: 600-608 - 2010
- [j3]Sergey M. Plis, Vince D. Calhoun, Tom Eichele, Michael P. Weisend, Terran Lane:
MEG and fMRI fusion for nonlinear estimation of neural and BOLD signal changes. Frontiers Neuroinformatics 4: 114 (2010) - [c5]Sergey M. Plis, Terran Lane, Vince D. Calhoun:
Permutations as Angular Data: Efficient Inference in Factorial Spaces. ICDM 2010: 403-410 - [c4]Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane:
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) 2010: 119-134
2000 – 2009
- 2009
- [c3]Eva Besada-Portas, Sergey M. Plis, Jesús Manuel de la Cruz, Terran Lane:
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks. ECML/PKDD (1) 2009: 131-146 - [c2]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane:
Efficient Multiplicative Updates for Support Vector Machines. SDM 2009: 1220-1231 - [i1]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane:
Multiplicative updates For Non-Negative Kernel SVM. CoRR abs/0902.4228 (2009) - 2008
- [j2]Sung C. Jun, John S. George, Woohan Kim, E. Juliana Paré-Blagoev, Sergey M. Plis, Douglas M. Ranken, David M. Schmidt:
Bayesian brain source imaging based on combined MEG/EEG and fMRI using MCMC. NeuroImage 40(4): 1581-1594 (2008) - 2006
- [c1]Sergey M. Plis, David M. Schmidt, Sung C. Jun, Douglas M. Ranken:
A generalized spatiotemporal covariance model for stationary background in analysis of MEG data. EMBC 2006: 3680-3683 - 2005
- [j1]Sung C. Jun, John S. George, E. Juliana Paré-Blagoev, Sergey M. Plis, Douglas M. Ranken, David M. Schmidt, C. C. Wood:
Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data. NeuroImage 28(1): 84-98 (2005)
Coauthor Index
Vince D. Calhoun
aka: Vincent D. Calhoun
aka: Vincent D. Calhoun
[j40] [j38] [j37] [c47] [d1] [i42] [i41] [i40] [j36] [j34] [c45] [i39] [i38] [i37] [j33] [j32] [j31] [j30] [j29] [c42] [c41] [c40] [i34] [i31] [i30] [j27] [j26] [j25] [j24] [j23] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [j22] [j21] [c32] [c31] [i20] [i19] [i18] [i17] [j20] [c30] [c29] [i16] [i15] [i14] [i12] [j18] [j17] [i9] [j15] [j14] [c27] [c26] [c25] [c24] [c23] [c22] [i8] [i6] [j13] [j12] [c21] [c18] [i4] [i3] [i2] [c17] [c16] [c15] [c14] [c13] [j11] [j10] [j9] [j8] [j7] [j6] [c11] [c10] [c9] [c8] [j5] [j4] [c7] [c6] [j3] [c5] [c2] [i1]
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