{"total":18,"rows":[{"id":"2308.01265","title":"Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives","created":"2023-07-18","cited_by_count":24,"area":null},{"id":"2103.17204","title":"Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data","created":"2021-03-31","cited_by_count":21,"area":null},{"id":"2202.08141","title":"FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation","created":"2022-02-16","cited_by_count":20,"area":null},{"id":"2107.11091","title":"Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation","created":"2021-07-23","cited_by_count":18,"area":null},{"id":"2304.13014","title":"Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art","created":"2023-04-25","cited_by_count":18,"area":null},{"id":"2203.15202","title":"SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation","created":"2022-03-29","cited_by_count":17,"area":null},{"id":"2102.13644","title":"Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge","created":"2021-02-26","cited_by_count":14,"area":null},{"id":"2103.12988","title":"One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video","created":"2021-03-24","cited_by_count":14,"area":null},{"id":"2309.07438","title":"Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges","created":"2023-09-14","cited_by_count":14,"area":null},{"id":"2304.03243","title":"Synthetic Data in Healthcare","created":"2023-04-06","cited_by_count":8,"area":null},{"id":"2502.14886","title":"Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review","created":"2025-02-16","cited_by_count":8,"area":null},{"id":"2310.06557","title":"Data efficient deep learning for medical image analysis: A survey","created":"2023-10-10","cited_by_count":6,"area":null},{"id":"2209.01435","title":"A comprehensive survey on recent deep learning-based methods applied to surgical data","created":"2022-09-03","cited_by_count":3,"area":null},{"id":"2103.04075","title":"Domain Adaptive Robotic Gesture Recognition with Unsupervised Kinematic-Visual Data Alignment","created":"2021-03-06","cited_by_count":2,"area":null},{"id":"2309.01723","title":"SAF-IS: a Spatial Annotation Free Framework for Instance Segmentation of Surgical Tools","created":"2023-09-04","cited_by_count":2,"area":null},{"id":"2309.00957","title":"Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries","created":"2023-09-02","cited_by_count":1,"area":null},{"id":"2505.02654","title":"Sim2Real in endoscopy segmentation with a novel structure aware image translation","created":"2025-05-05","cited_by_count":1,"area":null},{"id":"2508.07897","title":"NeeCo: Image Synthesis of Novel Instrument States Based on Dynamic and Deformable 3D Gaussian Reconstruction","created":"2025-08-11","cited_by_count":0,"area":null}],"next_cursor":null}