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ORCIDVince D. Calhoun
Vincent D. Calhoun
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- affiliation: University of New Mexico, Albuquerque, USA
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2020 – today
- 2020
[j219]Gang Li
, Chao Wang, Depeng Han, Yi-Pu Zhang, Peng Peng, Vince D. Calhoun, Yu-Ping Wang:
Deep Principal Correlated Auto-Encoders With Application to Imaging and Genomics Data Integration. IEEE Access 8: 20093-20107 (2020)- [j218]Gang Li, Depeng Han, Chao Wang, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Application of deep canonically correlated sparse autoencoder for the classification of schizophrenia. Comput. Methods Programs Biomed. 183 (2020) - [j217]Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang:
Log-sum enhanced sparse deep neural network. Neurocomputing 407: 206-220 (2020) - [j216]Suchita Bhinge, Qunfang Long, Vince D. Calhoun, Tülay Adali:
Adaptive Constrained Independent Vector Analysis: An Effective Solution for Analysis of Large-Scale Medical Imaging Data. IEEE J. Sel. Top. Signal Process. 14(6): 1255-1264 (2020) - [j215]Rongtao Jiang, Nianming Zuo, Judith M. Ford, Shile Qi, Dongmei Zhi, Chuanjun Zhuo, Yong Xu, Zening Fu, Juan R. Bustillo, Jessica A. Turner, Vince D. Calhoun, Jing Sui:
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 207 (2020) - [j214]Nigel Colenbier, Frederik Van de Steen, Lucina Q. Uddin, Russell A. Poldrack, Vince D. Calhoun, Daniele Marinazzo:
Disambiguating the role of blood flow and global signal with partial information decomposition. NeuroImage 213: 116699 (2020) - [j213]Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia. NeuroImage 216: 116872 (2020) - [j212]Hiroshi Morioka, Vince D. Calhoun, Aapo Hyvärinen:
Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits. NeuroImage 218: 116989 (2020) - [j211]Eswar Damaraju, Enzo Tagliazucchi, Helmut Laufs, Vince D. Calhoun:
Connectivity dynamics from wakefulness to sleep. NeuroImage 220: 117047 (2020) - [j210]Md Abdur Rahaman, Daniel H. Mathalon, Hyo Jong Lee, Wenhao Jiang, Bryon A. Mueller, Ole A. Andreassen, Ingrid Agartz, Scott R. Sponheim, Andrew R. Mayer, Julia M. Stephen, Rex E. Jung, Jessica A. Turner, José M. Cañive, Juan R. Bustillo, Vince D. Calhoun, Cota Navin Gupta, Srinivas Rachakonda, Jiayu Chen, Jingyu Liu, Theo G. M. van Erp, Steven G. Potkin, Judith M. Ford:
N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 67(1): 110-121 (2020) - [j209]Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms. IEEE Trans. Biomed. Eng. 67(3): 796-806 (2020) - [j208]Yuntong Bai, Pascal Zille, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Biomarker Identification Through Integrating fMRI and Epigenetics. IEEE Trans. Biomed. Eng. 67(4): 1186-1196 (2020) - [j207]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) - [j206]Min Wang, Ting-Zhu Huang, Jian Fang, Vince D. Calhoun, Yu-Ping Wang:
Integration of Imaging (epi)Genomics Data for the Study of Schizophrenia Using Group Sparse Joint Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(5): 1671-1681 (2020) - [j205]Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24(1): 14-16 (2020) - [j204]Yipu Zhang, Peng Peng, Yongfeng Ju, Gang Li, Vince D. Calhoun, Yu-Ping Wang:
Canonical Correlation Analysis of Imaging Genetics Data Based on Statistical Independence and Structural Sparsity. IEEE J. Biomed. Health Informatics 24(9): 2621-2629 (2020) - [j203]Aiying Zhang, Biao Cai, Wenxing Hu, Bochao Jia, Faming Liang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Joint Bayesian-Incorporating Estimation of Multiple Gaussian Graphical Models to Study Brain Connectivity Development in Adolescence. IEEE Trans. Medical Imaging 39(2): 357-365 (2020) - [j202]Gemeng Zhang, Biao Cai, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Estimating Dynamic Functional Brain Connectivity With a Sparse Hidden Markov Model. IEEE Trans. Medical Imaging 39(2): 488-498 (2020) - [j201]Li-Dan Kuang, Qiu-Hua Lin, Xiao-Feng Gong, Fengyu Cong, Yu-Ping Wang, Vince D. Calhoun:
Shift-Invariant Canonical Polyadic Decomposition of Complex-Valued Multi-Subject fMRI Data With a Phase Sparsity Constraint. IEEE Trans. Medical Imaging 39(4): 844-853 (2020) - [j200]Li Xiao, Junqi Wang, Peyman Hosseinzajeh Kassani, Yipu Zhang, Yuntong Bai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Multi-Hypergraph Learning-Based Brain Functional Connectivity Analysis in fMRI Data. IEEE Trans. Medical Imaging 39(5): 1746-1758 (2020) - [j199]Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang:
Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data. IEEE Trans. Medical Imaging 39(6): 1801-1811 (2020) - [c183]Ji Ye Chun, Mohammad S. Eslampanah Sendi, Jing Sui, Dongmei Zhi, Vince D. Calhoun:
Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method. EMBC 2020: 1424-1427 - [c182]Elaheh Zendehrouh, Mohammad S. Eslampanah Sendi, Jing Sui, Zening Fu, Dongmei Zhi, Luxian Lv, Xiaohong Ma, Qing Ke, Xianbin Li, Chuanyue Wang, Christopher C. Abbott, Jessica A. Turner, Robyn L. Miller, Vince D. Calhoun:
Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. EMBC 2020: 1493-1496 - [c181]Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva:
aNy-way Independent Component Analysis. EMBC 2020: 1770-1774 - [c180]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using The Parafac2 Model. ICASSP 2020: 1100-1104 - [c179]Armin Iraji, Noah Lewis, Ashkan Faghiri, Zening Fu, Thomas DeRamus, Anees Abrol, Shile Qi, Vince D. Calhoun:
Functional Multi-Connectivity: A Novel Approach To Assess Multi-Way Entanglement Between Networks and Voxels. ISBI 2020: 1698-1701 - [c178]Gemeng Zhang, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang:
A causal brain network estimation method leveraging Bayesian analysis and the PC algorithm. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170X - [c177]Junqi Wang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Graph Laplacian learning based Fourier Transform for brain network analysis with resting state fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171G - [c176]Peyman Hosseinzadeh Kassani, Vince D. Calhoun, Yu-Ping Wang:
Reduced sine hyperbolic polynomial model for brain neuro-developmental analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131706 - [c175]Rajikha Raja, Arvind Caprihan, Gary A. Rosenberg, Vince D. Calhoun:
Identification of dementia subtypes based on a diffusion MRI multi-model approach. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131709 - [c174]Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A hypergraph learning method for brain functional connectivity network construction from fMRI data. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131710 - [c173]Yuntong Bai, Vince D. Calhoun, Yu-Ping Wang:
Integration of multi-task fMRI for cognitive study by structure-enforced collaborative regression. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131722 - [c172]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 - [c171]Robyn L. Miller, Vince D. Calhoun:
Hybrid dictionary learning-ICA approaches built on novel instantaneous dynamic connectivity metric provide new multiscale insights into dynamic brain connectivity. Medical Imaging: Image Processing 2020: 113131V - [c170]Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
A GICA-TVGL framework to study sex differences in resting state fMRI dynamic connectivity. Medical Imaging: Image Processing 2020: 113132F - [c169]Victor M. Vergara, Vince D. Calhoun:
Nicotine Addiction Decreases Dynamic Connectivity Frequency In Functional Magnetic Resonance Imaging. SSIAI 2020: 34-37 - [c168]Robyn L. Miller, Vince D. Calhoun:
Transient Spectral Peak Analysis Reveals Distinct Temporal Activation Profiles for Different Functional Brain Networks. SSIAI 2020: 108-111 - [c167]Mohammad S. Eslampanah Sendi, Elaheh Zendehrouh, Zening Fu, Babak Mahmoudi, Robyn L. Miller, Vince D. Calhoun:
A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia. SSIAI 2020: 112-115 - [i19]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) - [i18]Peyman Hosseinzadeh Kassani, Li Xiao, Gemeng Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Causality based Feature Fusion for Brain Neuro-Developmental Analysis. CoRR abs/2001.08173 (2020) - [i17]Wenxing Hu, Xianghe Meng, Yuntong Bai, Aiying Zhang, Biao Cai, Gemeng Zhang, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Interpretable multimodal fusion networks reveal mechanisms of brain cognition. CoRR abs/2006.09454 (2020) - [i16]Aiying Zhang, Gemeng Zhang, Biao Cai, Wenxing Hu, Li Xiao, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM). CoRR abs/2006.09536 (2020) - [i15]Aiying Zhang, Gemeng Zhang, Biao Cai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu-Ping Wang:
A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence. CoRR abs/2006.12618 (2020) - [i14]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)
2010 – 2019
- 2019
- [j198]Eva Mennigen, Susanna Fryer, Barnaly Rashid, Eswar Damaraju, Yuhui Du, Rachel L. Loewy, Barbara Stuart, Vince D. Calhoun, Daniel H. Mathalon:
Transient Patterns of Functional Dysconnectivity in Clinical High Risk and Early Illness Schizophrenia Individuals Compared with Healthy Controls. Brain Connect. 9(1): 60-76 (2019) - [j197]Lori Sanfratello, Jon M. Houck, Vince D. Calhoun:
Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story? Brain Connect. 9(3): 251-262 (2019) - [j196]Md. Ashad Alam, Osamu Komori, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics. J. Bioinform. Comput. Biol. 17(4): 1950028 (2019) - [j195]Michael P. Trevarrow, Max J. Kurz, Timothy J. McDermott, Alex I. Wiesman, Mackenzie S. Mills, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson:
The developmental trajectory of sensorimotor cortical oscillations. NeuroImage 184: 455-461 (2019) - [j194]Barnaly Rashid, Jiayu Chen, Ishtiaque Rashid, Eswar Damaraju, Jingyu Liu, Robyn L. Miller, Oktay Agcaoglu, Theo G. M. van Erp, Kelvin O. Lim, Jessica A. Turner, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Vince D. Calhoun:
A framework for linking resting-state chronnectome/genome features in schizophrenia: A pilot study. NeuroImage 184: 843-854 (2019) - [j193]Christine M. Embury, Alex I. Wiesman, Amy L. Proskovec, Mackenzie S. Mills, Elizabeth Heinrichs-Graham, Yu-Ping Wang, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson:
Neural dynamics of verbal working memory processing in children and adolescents. NeuroImage 185: 191-197 (2019) - [j192]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) - [j191]Hua Xie, Charles Y. Zheng, Daniel A. Handwerker, Peter A. Bandettini, Vince D. Calhoun, Sunanda Mitra, Javier Gonzalez-Castillo:
Efficacy of different dynamic functional connectivity methods to capture cognitively relevant information. NeuroImage 188: 502-514 (2019) - [j190]Enrico Premi, Vince D. Calhoun, Matteo Diano, Stefano Gazzina, Maura Cosseddu, Antonella Alberici, Silvana Archetti, Donata Paternicò, Roberto Gasparotti, John van Swieten, Daniela Galimberti, Raquel Sanchez-Valle, Robert Laforce Jr., Fermin Moreno, Matthis Synofzik, Caroline Graff, Mario Masellis, Maria Carmela Tartaglia, Miren Zulaica:
The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint. NeuroImage 189: 645-654 (2019) - [j189]Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Jing Sui, Bharat B. Biswal, Zhiguo Zhang, Nina de Lacy, Vincent D. Calhoun:
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. NeuroImage 190: 191-204 (2019) - [j188]Dongdong Lin, Kent Hutchison, Salvador Portillo, Victor Vegara, Jarrod M. Ellingson, Jingyu Liu, Kenneth S. Krauter, Amanda Carroll-Portillo, Vince D. Calhoun:
Association between the oral microbiome and brain resting state connectivity in smokers. NeuroImage 200: 121-131 (2019) - [j187]Nina de Lacy, Elizabeth McCauley, J. Nathan Kutz, Vince D. Calhoun:
Sex-related differences in intrinsic brain dynamism and their neurocognitive correlates. NeuroImage 202 (2019) - [j186]Ian F. Akyildiz, Massimiliano Pierobon, Sasitharan Balasubramaniam, J. Zhang, T. Chen, S. Zhong, J. Wang, W. Zhang, X. Zuo, Robert G. Maunder, Lajos Hanzo, Jie Chen, J. Liu, Vince D. Calhoun, Alexander B. Magoun:
Scanning the Issue. Proc. IEEE 107(5): 866-867 (2019) - [j185]Jiayu Chen, Jingyu Liu, Vince D. Calhoun:
Translational Potential of Neuroimaging Genomic Analyses to Diagnosis and Treatment in Mental Disorders. Proc. IEEE 107(5): 912-927 (2019) - [j184]Biao Cai, Gemeng Zhang, Aiying Zhang, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Capturing Dynamic Connectivity From Resting State fMRI Using Time-Varying Graphical Lasso. IEEE Trans. Biomed. Eng. 66(7): 1852-1862 (2019) - [j183]Li Xiao, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Alternating Diffusion Map Based Fusion of Multimodal Brain Connectivity Networks for IQ Prediction. IEEE Trans. Biomed. Eng. 66(8): 2140-2151 (2019) - [j182]Wenxing Hu, Biao Cai, Aiying Zhang, Vince D. Calhoun, Yu-Ping Wang:
Deep Collaborative Learning With Application to the Study of Multimodal Brain Development. IEEE Trans. Biomed. Eng. 66(12): 3346-3359 (2019) - [j181]Aiying Zhang, Jian Fang, Faming Liang, Vince D. Calhoun, Yu-Ping Wang:
Aberrant Brain Connectivity in Schizophrenia Detected via a Fast Gaussian Graphical Model. IEEE J. Biomed. Health Informatics 23(4): 1479-1489 (2019) - [j180]Suchita Bhinge, Rami Mowakeaa, Vince D. Calhoun, Tülay Adali:
Extraction of Time-Varying Spatiotemporal Networks Using Parameter-Tuned Constrained IVA. IEEE Trans. Medical Imaging 38(7): 1715-1725 (2019) - [c166]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 - [c165]Mohammad A. B. S. Akhonda, Qunfang Long, Suchita Bhinge, Vince D. Calhoun, Tülay Adali:
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data. CISS 2019: 1-6 - [c164]Chunying Jia, Mohammad A. B. S. Akhonda, Qunfang Long, Vince D. Calhoun, Shari Waldstein, Tülay Adali:
C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data. CISS 2019: 1-5 - [c163]Victor M. Vergara, Anees Abrol, Flor A. Espinoza, Vince D. Calhoun:
Selection of Efficient Clustering Index to Estimate the Number of Dynamic Brain States from Functional Network Connectivity. EMBC 2019: 632-635 - [c162]Anees Abrol, Hooman Rokham, Vince D. Calhoun:
Diagnostic and Prognostic Classification of Brain Disorders Using Residual Learning on Structural MRI Data. EMBC 2019: 4084-4088 - [c161]Anees Abrol, Zening Fu, Yuhui Du, Vince D. Calhoun:
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression. EMBC 2019: 4409-4413 - [c160]Tiantian Li, Zening Fu, Xia Liu, Shile Qi, Vince D. Calhoun, Jing Sui:
Multimodal Neuroimaging Patterns Associated with Social Responsiveness Impairment in Autism: A Replication Study. ISBI 2019: 409-413 - [c159]Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu:
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI 2019: 418-421 - [c158]Dongren Yao, Hailun Sun, Xiaojie Guo, Vince D. Calhoun, Li Sun, Jing Sui:
ADHD Classification Within and Cross Cohort Using an Ensembled Feature Selection Framework. ISBI 2019: 1265-1269 - [c157]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 - [c156]Ashkan Faghiri, Julia M. Stephen, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun:
Using Gradient as a New Metric for Dynamic Connectivity Estimation from Resting fMRI Data. ISBI 2019: 1805-1808 - [c155]Yue Qiu, Qiu-Hua Lin, Li-Dan Kuang, Wen-Da Zhao, Xiao-Feng Gong, Fengyu Cong, Vince D. Calhoun:
Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks. ISNN (2) 2019: 540-547 - [c154]Yuntong Bai, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang:
Extraction of co-expressed discriminative features of Schizophrenia in imaging epigenetics framework. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530X - [c153]Zikuan Chen, Vince D. Calhoun:
Phase fMRI reveals sparser function connectivity than magnitude fMRI. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530D - [c152]Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Improved estimation of dynamic connectivity from resting-state fMRI data. Medical Imaging: Image Processing 2019: 109490P - [i13]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) - [i12]Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR abs/1910.12913 (2019) - [i11]Marie Roald, Suchita Bhinge, Chunying Jia, Vince D. Calhoun, Tülay Adali, Evrim Acar:
Tracing Network Evolution Using the PARAFAC2 Model. CoRR abs/1911.02926 (2019) - [i10]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) - [i9]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) - 2018
- [j179]Flor A. Espinoza, Jessica A. Turner, Victor M. Vergara, Robyn L. Miller, Eva Mennigen, Jingyu Liu, Maria B. Misiura, Jennifer Ciarochi, Hans J. Johnson, Jeffrey D. Long, Henry J. Bockholt, Vincent A. Magnotta, Jane S. Paulsen, Vince D. Calhoun:
Whole-Brain Connectivity in a Large Study of Huntington's Disease Gene Mutation Carriers and Healthy Controls. Brain Connect. 8(3): 166-178 (2018) - [j178]Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang:
Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics. Comput. Stat. Data Anal. 125: 70-85 (2018) - [j177]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) - [j176]Zois Boukouvalas, Yuri Levin-Schwartz, Vince D. Calhoun, Tülay Adali:
Sparsity and Independence: Balancing Two Objectives in Optimization for Source Separation with Application to fMRI Analysis. J. Frankl. Inst. 355(4): 1873-1887 (2018) - [j175]O. Agcaoglu, Robyn L. Miller, Andrew R. Mayer, Kenneth Hugdahl, Vince D. Calhoun:
Corrigendum to "Lateralization of resting state networks and relationship to age and gender" [NeuroImage 104 (2015) 310-325]. NeuroImage 167: 504 (2018) - [j174]Lei Wu, Arvind Caprihan, Juan R. Bustillo, Andy R. Mayer, Vince D. Calhoun:
An approach to directly link ICA and seed-based functional connectivity: Application to schizophrenia. NeuroImage 179: 448-470 (2018) - [j173]Hua Xie, Vince D. Calhoun, Javier Gonzalez-Castillo, Eswar Damaraju, Robyn L. Miller, Peter A. Bandettini, Sunanda Mitra:
Whole-brain connectivity dynamics reflect both task-specific and individual-specific modulation: A multitask study. NeuroImage 180(Part): 495-504 (2018) - [j172]Zening Fu, Yiheng Tu, Xin Di, Yuhui Du, Godfrey D. Pearlson, Jessica A. Turner, Bharat B. Biswal, Zhiguo Zhang, Vince D. Calhoun:
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: An application to schizophrenia. NeuroImage 180(Part): 619-631 (2018) - [j171]Yuhui Du, Susanna Fryer, Zening Fu, Dongdong Lin, Jing Sui, Jiayu Chen, Eswar Damaraju, Eva Mennigen, Barbara Stuart, Rachel L. Loewy, Daniel H. Mathalon, Vince D. Calhoun:
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. NeuroImage 180(Part): 632-645 (2018) - [j170]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) - [j169]Rongtao Jiang, Vince D. Calhoun, Nianming Zuo, Dongdong Lin, Jin Li, Lingzhong Fan, Shile Qi, Hailun Sun, Zening Fu, Ming Song, Tianzi Jiang, Jing Sui:
Connectome-based individualized prediction of temperament trait scores. NeuroImage 183: 366-374 (2018) - [j168]Qingbao Yu, Yuhui Du, Jiayu Chen, Jing Sui, Tülay Adali, Godfrey D. Pearlson, Vince D. Calhoun:
Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs. Proc. IEEE 106(5): 886-906 (2018) - [j167]Tülay Adali, H. Joel Trussell, Lars Kai Hansen, Vince D. Calhoun:
The Dangers of Following Trends in Research: Sparsity and Other Examples of Hammers in Search of Nails. Proc. IEEE 106(6): 1014-1018 (2018) - [j166]Wenxing Hu, Dongdong Lin, Shaolong Cao, Jingyu Liu, Jiayu Chen, Vince D. Calhoun, Yu-Ping Wang:
Adaptive Sparse Multiple Canonical Correlation Analysis With Application to Imaging (Epi)Genomics Study of Schizophrenia. IEEE Trans. Biomed. Eng. 65(2): 390-399 (2018) - [j165]Su-Ping Deng, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang:
Integrating Imaging Genomic Data in the Quest for Biomarkers of Schizophrenia Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 15(5): 1480-1491 (2018) - [j164]Shile Qi, Vince D. Calhoun, Theo G. M. van Erp, Juan R. Bustillo, Eswar Damaraju, Jessica A. Turner, Yuhui Du, Jian Yang, Jiayu Chen, Qingbao Yu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Tianzi Jiang, Jing Sui:
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans. Medical Imaging 37(1): 93-105 (2018) - [j163]Jian Fang, Chao Xu, Pascal Zille, Dongdong Lin, Hong-Wen Deng, Vince D. Calhoun, Yu-Ping Wang:
Fast and Accurate Detection of Complex Imaging Genetics Associations Based on Greedy Projected Distance Correlation. IEEE Trans. Medical Imaging 37(4): 860-870 (2018) - [j162]Biao Cai, Pascal Zille, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang:
Estimation of Dynamic Sparse Connectivity Patterns From Resting State fMRI. IEEE Trans. Medical Imaging 37(5): 1224-1234 (2018) - [j161]Alexej Gossmann, Pascal Zille, Vince D. Calhoun, Yu-Ping Wang:
FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics. IEEE Trans. Medical Imaging 37(8): 1761-1774 (2018) - [j160]Pascal Zille, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang:
Fused Estimation of Sparse Connectivity Patterns From Rest fMRI - Application to Comparison of Children and Adult Brains. IEEE Trans. Medical Imaging 37(10): 2165-2175 (2018) - [j159]Pascal Zille, Vince D. Calhoun, Yu-Ping Wang:
Enforcing Co-Expression Within a Brain-Imaging Genomics Regression Framework. IEEE Trans. Medical Imaging 37(12): 2561-2571 (2018) - [j158]Nan-Feng Jie, Elizabeth A. Osuch, Mao-Hu Zhu, Michael Wammes, Xiao-Ying Ma,