{"total":18,"rows":[{"id":"2107.12435","title":"A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation","created":"2021-07-26","cited_by_count":41,"area":null},{"id":"2211.16200","title":"From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments","created":"2022-11-26","cited_by_count":32,"area":null},{"id":"2202.12031","title":"Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge","created":"2022-02-24","cited_by_count":27,"area":null},{"id":"2306.15521","title":"What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation","created":"2023-06-27","cited_by_count":24,"area":null},{"id":"2204.05235","title":"Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets","created":"2022-04-11","cited_by_count":23,"area":null},{"id":"2406.16039","title":"CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery","created":"2024-06-23","cited_by_count":16,"area":null},{"id":"2107.03949","title":"Task Fingerprinting for Meta Learning in Biomedical Image Analysis","created":"2021-07-08","cited_by_count":6,"area":null},{"id":"2210.14771","title":"Rapid and robust endoscopic content area estimation: A lean GPU-based pipeline and curated benchmark dataset","created":"2022-10-26","cited_by_count":5,"area":null},{"id":"2308.05232","title":"SegMatch: A semi-supervised learning method for surgical instrument segmentation","created":"2023-08-09","cited_by_count":5,"area":null},{"id":"2401.08256","title":"Multitask Learning in Minimally Invasive Surgical Vision: A Review","created":"2024-01-16","cited_by_count":5,"area":null},{"id":"2307.07812","title":"Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation","created":"2023-07-15","cited_by_count":2,"area":null},{"id":"2403.17192","title":"Strategies to Improve Real-World Applicability of Laparoscopic Anatomy Segmentation Models","created":"2024-03-25","cited_by_count":2,"area":null},{"id":"2603.27460","title":"Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development","created":"2026-03-29","cited_by_count":2,"area":null},{"id":"2507.15292","title":"EndoControlMag: Robust Endoscopic Vascular Motion Magnification with Periodic Reference Resetting and Hierarchical Tissue-aware Dual-Mask Control","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2507.19592","title":"SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation","created":"2025-07-25","cited_by_count":0,"area":null},{"id":"2512.02188","title":"RobustSurg: Tackling domain generalisation for out-of-distribution surgical scene segmentation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2603.01108","title":"GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation","created":"2026-03-01","cited_by_count":0,"area":null},{"id":"2609.31821","title":"A Surgical Foundation Model Reveals Task-Dependent Label Efficiency","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}