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N-BiC: A Method for Multi-Component and Symptom Biclustering of Structural MRI Data: Application to Schizophrenia., , , , , , , , , and 12 other author(s). IEEE Trans. Biomed. Eng., 67 (1): 110-121 (2020)Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging., , , , , and . EMBC, page 1513-1516. IEEE, (2014)COINSTAC: Decentralizing the future of brain imaging analysis., , , and . (March 2024)Task Distribution Methods for the Reconstruction of MR Images., , and . PDCAT, volume 3320 of Lecture Notes in Computer Science, page 257-266. Springer, (2004)Calibration Method of Functional Magnetic Resonance Images., , , and . CISST, page 13-19. CSREA Press, (2005)Scalable Parallel Reconstruction Algorithm for Magnetic Resonance Images., , and . PDPTA, page 73-79. CSREA Press, (2004)Guided exploration of genomic risk for gray matter abnormalities in schizophrenia using parallel independent component analysis with reference., , , , , , , , , and 2 other author(s). NeuroImage, (2013)Imaging phenotypes and genotypes in schizophrenia., , , , , and . Neuroinformatics, 4 (1): 21-49 (2006)Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia., , , , , , , , , and 5 other author(s). BIBE, page 417-424. IEEE, (2020)Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder., , , , , , , , , and 4 other author(s). EMBC, page 1493-1496. IEEE, (2020)