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IEEE Journal of Biomedical and Health Informatics|November 26, 2025
An orthogonal semi-nonnegative matrix factorization method for dynamic functional connectivity analysis and its application to schizophreniaXingyu He, Vince D Calhoun, Godfrey D Pearlson, et al.Frontiers in Neuroscience|June 6, 2017
Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI DataYuhui Du, Dongdong Lin, Qingbao Yu, et al.Iscience|March 14, 2024
More reliable biomarkers and more accurate prediction for mental disorders using a label-noise filtering-based dimensional prediction methodYing Xing, Theo G M van Erp, Godfrey D Pearlson, et al.Schizophrenia Research|December 15, 2015
Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approachYuhui Du, Godfrey D Pearlson, Qingbao Yu, et al.Human Brain Mapping|January 11, 2023
Developmental and aging resting functional magnetic resonance imaging brain state adaptations in adolescents and adults: A large N (>47K) studyAnees Abrol, Zening Fu, Yuhui Du, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selectionJing Sui, Eduardo Castro, Hao He, et al.Neuroimage|July 29, 2015
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disordersYuhui Du, Godfrey D Pearlson, Jingyu Liu, et al.Human Brain Mapping|April 6, 2019
Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalitiesZening Fu, Arvind Caprihan, Jiayu Chen, et al.Journal 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 AdaliPageof 144