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ORBIT: A Multiresolution Framework for Deformable Registration of Brain Tumor Images.

, , , and . IEEE Trans. Medical Imaging, 27 (8): 1003-1017 (2008)

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Identifying patterns in temporal variation of functional connectivity using resting state FMRI., , , , and . ISBI, page 1086-1089. IEEE, (2013)Statistically-constrained robust diffeomorphic registration., , and . ISBI, page 1083-1087. IEEE, (2018)Statistical shape model for automatic skull-stripping of brain images., , and . ISBI, page 855-858. IEEE, (2002)A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises., , , , , , , , and . Proc. IEEE, 109 (5): 820-838 (2021)Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning., , , , , , , , , and 11 other author(s). CoRR, (2021)The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting., , , , , , , , , and 58 other author(s). CoRR, (2023)Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience., , , , , , , , , and 3 other author(s). CoRR, (2022)Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning., and . CoRR, (2021)Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes., , , , , , , , , and 20 other author(s). Medical Image Anal., (2022)MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection., , , , , , , , and . NeuroImage, (2016)