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The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery.

, , , , , and . NeuroImage, (2021)

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The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery., , , , , and . NeuroImage, (2021)Special Issue: Text Mining and Information Analysis; Retrieving and Clustering Keywords in Neurosurgery Operation Reports Using Text Mining Techniques., , , , , , and . ICMHI, page 88-100. ACM, (2018)A multiresolution binary level set method and its application to intracranial hematoma segmentation., , , and . Comput. Medical Imaging Graph., 33 (6): 423-430 (2009)PICO element detection in medical text without metadata: Are first sentences enough?, , , , , and . J. Biomed. Informatics, 46 (5): 940-946 (2013)Deep Learning Based Segmentation of Various Brain Lesions for Radiosurgery., , , , , , , , and . CoRR, (2020)Automatic recognition of midline shift on brain CT images., , , and . Comput. Biol. Medicine, 40 (3): 331-339 (2010)A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves., , , and . ICDM Workshops, page 463-467. IEEE Computer Society, (2006)Automated Labeling of Neuroanatomical Structures in Routine Brain CT., , , and . SMC, page 3453-3457. IEEE, (2006)Automatic measurement of midline shift on deformed brains using multiresolution binary level set method and Hough transform., , , , , and . Comput. Biol. Medicine, 41 (9): 756-762 (2011)The Epidemiology and Cost of Hospital-Treated Traumatic Brain Injuries: a 10-Year Nationwide Survey in Taiwan., , , , , , , and . ICMHI, page 76-82. ACM, (2018)