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Psychometrika|August 10, 2014
Extracting intrinsic functional networks with feature-based group independent component analysisVince D Calhoun, Elena AllenFrontiers in Psychiatry|February 1, 2012
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorderVince D Calhoun, Jing Sui, Kent Kiehl, et al.Gigascience|February 6, 2015
A spectrum of sharing: maximization of information content for brain imaging dataVince D CalhounJournal of Neuroscience Methods|January 15, 2022
A novel 5D brain parcellation approach based on spatio-temporal encoding of resting fMRI data from deep residual learningBehnam Kazemivash, Vince D CalhounIEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|March 11, 2009
Feature-based fusion of medical imaging dataVince D Calhoun, Tülay AdaliHuman Brain Mapping|October 28, 2025
Generating MRI-Derived CSF Proxy-Markers to Predict and Visualize Alzheimer's Disease ProgressionAnees Abrol, Vince D Calhoun, Current Opinion in Psychiatry|February 9, 2026
Artificial intelligence for schizophrenia: from unimodal prediction to multimodal characterizationXinhui Li, Vince D 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
Neural Complexity Unveiled: Doubly Functionally Independent Primitives (dFIPs) in Psychiatric Risk Score AssessmentNajme Soleimani, Vince D CalhounComputers in Biology and Medicine|August 29, 2025
TransUNET-DDPM: A transformer-enhanced diffusion model for subject-specific brain network generation and classificationMeenu Ajith, Vince D CalhounJournal of Experimental Neuroscience|June 19, 2019
Dissecting Static and Dynamic Functional Connectivity: Example From the Autism SpectrumTonya White, Vince D CalhounPageof 127