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Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging., , , , , , , , , and 30 other author(s). CoRR, (2020)Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice., , , , , , and . CoRR, (2019)Convolutional LSTM., , , and . Computer-Aided Analysis of Gastrointestinal Videos, Springer, (2021)Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index., , , , , , and . IEEE Trans. Medical Imaging, 39 (11): 3679-3690 (2020)Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients., , , , , , , , , and 12 other author(s). CoRR, (2020)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)Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory and Practice., , , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 92-100. Springer, (2019)