Showing 1–17 of 17 results
/ Date/ Name
Dec 13, 2022Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical EvaluationJul 1, 2022Dissecting Self-Supervised Learning Methods for Surgical Computer VisionSep 28, 2020Artificial Intelligence in Surgery: Neural Networks and Deep LearningDec 8, 2022Latent Graph Representations for Critical View of Safety AssessmentDec 27, 2021Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentationMar 14, 2022Federated Cycling (FedCy): Semi-supervised Federated Learning of Surgical PhasesJun 21, 2021Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safetySep 21, 2025The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality AssessmentDec 16, 2022Biomedical image analysis competitions: The state of current participation practiceApr 10, 2022CholecTriplet2021: A benchmark challenge for surgical action triplet recognitionNov 5, 2025Current validation practice undermines surgical AI developmentMar 11, 2024Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain TransferOct 21, 20212020 CATARACTS Semantic Segmentation ChallengeDec 19, 2023The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and BenchmarkDec 10, 2023Jumpstarting Surgical Computer VisionFeb 13, 2023CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detectionDec 11, 2023Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning