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Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries.

, , , , , and . BrainLes@MICCAI, volume 10154 of Lecture Notes in Computer Science, page 206-216. (2016)

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Perspective: Imaging-based observational databases for clinical problem solving: the role of informatics., , , , , and . JAMIA, 20 (6): 1053-1058 (2013)A Customizable MR Brain Imaging Atlas of Structure and Function for Decision Support., , , , , and . AMIA, AMIA, (2003)Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification., , , , , and . IEEE Trans. Medical Imaging, 27 (5): 629-640 (2008)A temporal deep learning approach for MR perfusion parameter estimation in stroke., , , , and . ICPR, page 1315-1320. IEEE, (2016)Content Based Image Retrieval for MR Image Studies of Brain Tumors., , , and . EMBC, page 3337-3340. IEEE, (2006)A Tool for Improving the Longitudinal Imaging Characterization for Neuro-Oncology Cases., , , , , , , , , and . AMIA, AMIA, (2008)StructConsult: Structured Real-Time Wet Read Consultation Infrastructure to Support Patient Care., , , , and . MedInfo, volume 129 of Studies in Health Technology and Informatics, page 429-433. IOS Press, (2007)Assessing variability in brain tumor segmentation to improve volumetric accuracy and characterization of change., , , , , and . BHI, page 380-383. IEEE, (2016)Unifying Acute Stroke Treatment Guidelines for a Bayesian Belief Network., , , , , , and . MedInfo, volume 192 of Studies in Health Technology and Informatics, page 1012. IOS Press, (2013)Intra-Domain Task-Adaptive Transfer Learning to Determine Acute Ischemic Stroke Onset Time., , , , , , , , and . CoRR, (2020)