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A large annotated medical image dataset for the development and evaluation of segmentation algorithms., , , , , , , , , and 14 other author(s). CoRR, (2019)The Medical Segmentation Decathlon., , , , , , , , , and 48 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)GLISTR: Glioma Image Segmentation and Registration., , , , , , and . IEEE Trans. Medical Imaging, 31 (10): 1941-1954 (2012)Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training., , , , , , , , , and 9 other author(s). NeuroImage, (2020)Statistical atlas of acute stroke from magnetic resonance diffusion-weighted-images of the brain., , , , and . Neuroinformatics, 4 (3): 235-242 (2006)Protecting Inappropriate Release of Data from Realistic Databases., and . DEXA Workshop, page 330-339. IEEE Computer Society, (1998)Direct visualization of short transverse relaxation time component (ViSTa)., , , , , and . NeuroImage, (2013)Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 105760O. SPIE, (2018)The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients., , , , , , , , , and 7 other author(s). CoRR, (2021)