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Super U-Net: A modularized generalizable architecture., , , , , , , and . Pattern Recognit., (2022)Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks., , , , , , and . Artif. Intell. Medicine, (2021)Automated detection and segmentation of pulmonary embolisms on computed tomography pulmonary angiography (CTPA) using deep learning but without manual outlining., , , , , , , , and . Medical Image Anal., (October 2023)Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks., , , , , , and . CoRR, (2020)Cross-Domain Segmentation with Adversarial Loss and Covariate Shift for Biomedical Imaging., , , , , and . CoRR, (2020)Automated segmentation of 3-D body composition on computed tomography., , , , and . CoRR, (2021)CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation., , , , , , , , , and 17 other author(s). Medical Image Anal., (2021)CHAOS Challenge - Combined (CT-MR) Healthy Abdominal Organ Segmentation., , , , , , , , , and 17 other author(s). CoRR, (2020)Semi-Automatic Segmentation Methods for 3-D Visualization and Analysis of the Liver., , , , and . MIE, volume 205 of Studies in Health Technology and Informatics, page 1133-1137. IOS Press, (2014)Extraction of Liver Vascular Tree from Contrast Enhanced Computed Tomography Acquisitions., , and . SIU, page 1-4. IEEE, (2019)