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Predicting brain function status changes in critically ill patients via Machine learning.

, , , , , , , and . J. Am. Medical Informatics Assoc., 28 (11): 2412-2422 (2021)

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Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection., , , , , , , , and . CoRR, (2019)Predicting brain function status changes in critically ill patients via Machine learning., , , , , , , and . J. Am. Medical Informatics Assoc., 28 (11): 2412-2422 (2021)Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation., , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94130K. SPIE, (2015)Interaction patterns of trauma providers are associated with length of stay., , , and . JAMIA, 25 (7): 790-799 (2018)Predicting next-day discharge via electronic health record access logs., , , , and . J. Am. Medical Informatics Assoc., 28 (12): 2670-2680 (2021)Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection., , , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113130F. SPIE, (2020)Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network., , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492U. SPIE, (2019)A Data-Driven Analysis of the Influence of Care Coordination on Trauma Outcome., , , and . CoRR, (2017)Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network., , , , , and . CoRR, (2018)Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury., , , , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490A. SPIE, (2019)