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EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research., , , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 226:1-226:7 (2019)Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing., , , , , , , , , and . J. Biomed. Informatics, (2014)Automatic ventricle detection in Computed Tomography Pulmonary Angiography., , , , , , , and . ISBI, page 1143-1146. IEEE, (2015)Enhancing Model Generalization for Substantia Nigra Segmentation Using a Test-time Normalization-Based Method., , , , , , , , , and 2 other author(s). MICCAI (8), volume 13437 of Lecture Notes in Computer Science, page 736-744. Springer, (2022)Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)