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A new metric to measure shape differences in fMRI activity.

, , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79624K. SPIE, (2011)

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A new metric to measure shape differences in fMRI activity., , , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79624K. SPIE, (2011)A study of spatial variation in fMRI brain networks via independent vector analysis: Application to schizophrenia., , , , , and . PRNI, page 1-4. IEEE, (2014)The predictive power of structural MRI in Autism diagnosis., , , and . EMBC, page 4270-4273. IEEE, (2015)Improved 3D wavelet-based de-noising of fMRI data., , , , , and . Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 79624P. SPIE, (2011)Wavelet-based fMRI analysis: 3-D denoising, signal separation, and validation metrics., , , , , and . NeuroImage, 54 (4): 2867-2884 (2011)Wavelet-based denoising and independent component analysis for improving multi-group inference in fMRI data., , , , , and . ISBI, page 456-459. IEEE, (2011)Sex and Age Effects of Functional Connectivity in Early Adulthood., , , , , and . Brain Connectivity, 6 (9): 700-713 (2016)Does function follow form?: Methods to fuse structural and functional brain images show decreased linkage in schizophrenia., , , , , , , , , and 6 other author(s). NeuroImage, 49 (3): 2626-2637 (2010)Test-retest reliability of dynamic functional connectivity in resting state fMRI., , , , and . NeuroImage, (2018)