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Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity, , , , , , , , , and 4 other author(s). (Aug 11, 2016)3-D statistical cancer atlas-based targeting of prostate biopsy using ultrasound image guidance., , , , , , , and . Medical Imaging: Image Processing, volume 6914 of SPIE Proceedings, page 69142X. SPIE, (2008)Pattern analysis in neuroimaging: Beyond two-class categorization., , and . Int. J. Imaging Systems and Technology, 21 (2): 173-178 (2011)Corrigendum to "Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth" NeuroImage 46 (2009) 762-774., , , , and . NeuroImage, 47 (2): 779 (2009)Regularized topological data analysis for extraction of coherent brain regions., , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490I. SPIE, (2019)Statistically-constrained robust diffeomorphic registration., , and . ISBI, page 1083-1087. IEEE, (2018)Identifying patterns in temporal variation of functional connectivity using resting state FMRI., , , , and . ISBI, page 1086-1089. IEEE, (2013)Statistical shape model for automatic skull-stripping of brain images., , and . ISBI, page 855-858. IEEE, (2002)Statistical atlases and machine learning tools applied to optimized prostate biopsy for cancer detection and estimation of volume and Gleason score.. ISBI, page 2107-2108. IEEE, (2011)Spatio-temporal Analysis of Brain MRI Images Using Hidden Markov Models., , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 160-168. Springer, (2010)