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Non-invasive pulmonary blood flow analysis and blood pressure mapping derived from 4D flow MRI., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9417 of SPIE Proceedings, page 94172G. SPIE, (2015)Why is the winner the best?, , , , , , , , , and 41 other author(s). CoRR, (2023)Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room., , , , , , , , , and 20 other author(s). CoRR, (2020)A system for context-aware intraoperative augmented reality in dental implant surgery., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 10 (1): 101-108 (2015)Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration., , , , , and . CoRR, (2020)2018 Robotic Scene Segmentation Challenge., , , , , , , , , and 23 other author(s). CoRR, (2020)Image-Based Scene Analysis for Computer-Assisted Laparoscopic Surgery. Karlsruhe University, Germany, (2018)base-search.net (ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000084137).Generative adversarial networks for specular highlight removal in endoscopic images., , , , and . Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 1057604. SPIE, (2018)Temporal Coherence-based Self-supervised Learning for Laparoscopic Workflow Analysis., , , , , and . OR 2.0/CARE/CLIP/ISIC@MICCAI, volume 11041 of Lecture Notes in Computer Science, page 85-93. Springer, (2018)Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video., , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 467-475. Springer, (2019)