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Picture for Vince D. Calhoun

Vince D. Calhoun

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science, The Mind Research Network, Albuquerque, NM, USA

Algorithm-Agnostic Explainability for Unsupervised Clustering


May 17, 2021
Charles A. Ellis, Mohammad S. E. Sendi, Sergey M. Plis, Robyn L. Miller, Vince D. Calhoun

* 11 pages, 3 figures 

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


Apr 20, 2021
Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis

* Presented as a RobustML workshop paper at ICLR 2021 

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Efficient Distributed Auto-Differentiation


Feb 22, 2021
Bradley T. Baker, Vince D. Calhoun, Barak Pearlmutter, Sergey M. Plis

* 8 pages, 6 figures 

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Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction


Jan 20, 2021
Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu-Ping Wang


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Taxonomy of multimodal self-supervised representation learning


Dec 29, 2020
Alex Fedorov, Tristan Sylvain, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis


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On self-supervised multi-modal representation learning: An application to Alzheimer's disease


Dec 25, 2020
Alex Fedorov, Lei Wu, Tristan Sylvain, Margaux Luck, Thomas P. DeRamus, Dmitry Bleklov, Sergey M. Plis, Vince D. Calhoun


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Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies


Sep 30, 2020
Li Xiao, Biao Cai, Gang Qu, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang


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Whole MILC: generalizing learned dynamics across tasks, datasets, and populations


Jul 29, 2020
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis

* Accepted at MICCAI 2020. arXiv admin note: substantial text overlap with arXiv:1912.03130 

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Causal inference of brain connectivity from fMRI with $ψ$-Learning Incorporated Linear non-Gaussian Acyclic Model ($ψ$-LiNGAM)


Jun 16, 2020
Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang


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A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence


Jun 16, 2020
Aiying Zhang, Gemeng Zhang, Biao Cai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang


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Interpretable multimodal fusion networks reveal mechanisms of brain cognition


Jun 16, 2020
Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang


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Causality based Feature Fusion for Brain Neuro-Developmental Analysis


Jan 22, 2020
Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu Ping Wang

* 10 pages 

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Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia


Jan 06, 2020
Haleh Falakshahi, Victor M. Vergara, Jingyu Liu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah McEwen, Steven G. Potkin, Adrian Preda, Hooman Rokham, Jing Sui, Jessica A. Turner, Sergey Plis, Vince D. Calhoun

* IEEE Transactions on Biomedical Engineering, 2019 

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Multidataset Independent Subspace Analysis with Application to Multimodal Fusion


Nov 11, 2019
Rogers F. Silva, Sergey M. Plis, Tulay Adali, Marios S. Pattichis, Vince D. Calhoun

* For associated code, see https://github.com/rsilva8/MISA For associated data, see https://github.com/rsilva8/MISA-data Submitted to IEEE Transactions on Image Processing on Nov/7/2019: 13 pages, 8 figures Supplement: 16 pages, 5 figures 

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Prediction of Progression to Alzheimer's disease with Deep InfoMax


May 01, 2019
Alex Fedorov, R Devon Hjelm, Anees Abrol, Zening Fu, Yuhui Du, Sergey Plis, Vince D. Calhoun

* Accepted to 2019 IEEE Biomedical and Health Informatics (BHI) as a conference paper 

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Tensor-Based Fusion of EEG and FMRI to Understand Neurological Changes in Schizophrenia


Dec 07, 2016
Evrim Acar, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adalı


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Deep learning for neuroimaging: a validation study


Feb 19, 2014
Sergey M. Plis, Devon R. Hjelm, Ruslan Salakhutdinov, Vince D. Calhoun

* ICLR 2014 revisions 

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Block Coordinate Descent for Sparse NMF


Mar 18, 2013
Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter, Vince D. Calhoun, Thomas P. Hayes


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Directional Statistics on Permutations


Jul 14, 2010
Sergey M. Plis, Terran Lane, Vince D. Calhoun


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Multiplicative updates For Non-Negative Kernel SVM


Feb 24, 2009
Vamsi K. Potluru, Sergey M. Plis, Morten Morup, Vince D. Calhoun, Terran Lane

* 4 pages, 1 figure, 1 table 

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