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Frontiers in Neuroscience|April 3, 2019
Phase fMRI Reveals More Sparseness and Balance of Rest Brain Functional Connectivity Than Magnitude fMRIZikuan Chen, Zening Fu, Vince CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Parallel independent component analysis using an optimized neurovascular coupling for concurrent EEG-fMRI sourcesLei Wu, Tom Eichele, Vince CalhounBrain Structure & Function|March 4, 2019
Phase fMRI informs whole-brain function connectivity balance across lifespan with connection-specific aging effects during the resting stateZikuan Chen, Qing Zhou, Vince CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's DiseaseIshaan Batta, Anees Abrol, Vince CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Inter-modality source coupling: a fully automated whole-brain data-driven structure-function fingerprint shows replicable links to reading in large-scale (N~8K) analysisAline Kotoski, Robin Morris, Vince CalhounNeuroimage|June 27, 2021
Tracking spatial dynamics of functional connectivity during a taskLei Wu, Arvind Caprihan, Vince CalhounPlos One|January 20, 2018
Brain functional BOLD perturbation modelling for forward fMRI and inverse mappingZikuan Chen, Jennifer Robinson, Vince CalhounJournal of Neuroscience Methods|August 10, 2017
Functional overestimation due to spatial smoothing of fMRI dataPeng Liu, Vince Calhoun, Zikuan ChenPlos One|June 12, 2025
Providing context: Extracting non-linear and dynamic temporal motifs from brain activityEloy Geenjaar, Donghyun Kim, Vince CalhounIEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 27, 2014
Observation model based on scale interactions for optical flow estimationPascal Zille, Thomas Corpetti, Liang Shao, et al.Pageof 68