Showing 1–18 of 18 results
/ Date/ Name
Jun 8, 2018Surgical Data Science: A Consensus PerspectiveNov 27, 2017Exploiting the potential of unlabeled endoscopic video data with self-supervised learningAug 1, 2018Real-time image-based instrument classification for laparoscopic surgeryFeb 3, 2023Understanding metric-related pitfalls in image analysis validationJan 23, 2017Surgical Data Science: Enabling Next-Generation SurgeryNov 8, 2018Prediction of laparoscopic procedure duration using unlabeled, multimodal sensor dataMay 7, 2018Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgeryMar 23, 2020Robust Medical Instrument Segmentation Challenge 2019Apr 12, 2021Common Limitations of Image Processing Metrics: A Picture StoryMay 22, 2017What does it all mean? Capturing Semantics of Surgical Data and Algorithms with OntologiesMar 22, 2018IMHOTEP - Virtual Reality Framework for Surgical ApplicationsFeb 13, 2017Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysisJun 3, 2022Metrics reloaded: Recommendations for image analysis validationNov 5, 2019Out of distribution detection for intra-operative functional imagingOct 30, 2020Surgical Data Science -- from Concepts toward Clinical TranslationSep 30, 2021Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole BenchmarkMay 7, 2020Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating RoomNov 9, 2021Robust deep learning-based semantic organ segmentation in hyperspectral images