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Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.

, , , , and . IEEE Trans. Medical Imaging, 38 (8): 1777-1787 (2019)

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Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis., , , , , and . ISBI, page 800-804. IEEE, (2018)A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications., , , , , , , , , and . CoRR, (2023)Supervised and Unsupervised Tumor Characterization in the Deep Learning Era., , , , , and . CoRR, (2018)Diagnosing Colorectal Polyps in the Wild with Capsule Networks., , , , and . ISBI, page 1086-1090. IEEE, (2020)Radiomics Boosts Deep Learning Model for IPMN Classification., , , , , , , , , and 7 other author(s). MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 134-143. Springer, (2023)Establishing key research questions for the implementation of artificial intelligence in colonoscopy: A modified Delphi method, , , , , , , , , and 13 other author(s). Endoscopy, 53 (9): 893--901 (2021)Dilemmas of development assistance, and . Dilemmas in world politics Westview Press, Boulder, Colo. u.a., (1994)PAN: Projective Adversarial Network for Medical Image Segmentation., , , and . MICCAI (6), volume 11769 of Lecture Notes in Computer Science, page 68-76. Springer, (2019)INN: Inflated Neural Networks for IPMN Diagnosis., , , , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)Remote clinical assessment of gastrointestinal endoscopy (tele-endoscopy): an initial experience., , , , , , , , and . AMIA, AMIA, (2000)