{"total":23,"rows":[{"id":"2303.09514","title":"MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation","created":"2023-03-16","cited_by_count":36,"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":"2202.08141","title":"FUN-SIS: a Fully UNsupervised approach for Surgical Instrument Segmentation","created":"2022-02-16","cited_by_count":20,"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":"2410.07269","title":"Deep Learning for Surgical Instrument Recognition and Segmentation in Robotic-Assisted Surgeries: A Systematic Review","created":"2024-10-09","cited_by_count":13,"area":null},{"id":"2412.16078","title":"SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2106.09302","title":"How can we learn (more) from challenges? A statistical approach to driving future algorithm development","created":"2021-06-17","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":"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":"2409.11299","title":"TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation","created":"2024-09-17","cited_by_count":3,"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":"2407.19714","title":"Rethinking RGB-D Fusion for Semantic Segmentation in Surgical Datasets","created":"2024-07-29","cited_by_count":2,"area":null},{"id":"2201.04755","title":"Spatial-Temporal Map Vehicle Trajectory Detection Using Dynamic Mode Decomposition and Res-UNet+ Neural Networks","created":"2022-01-13","cited_by_count":1,"area":null},{"id":"2211.07977","title":"Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System","created":"2022-11-15","cited_by_count":1,"area":null},{"id":"2508.21399","title":"Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation","created":"2025-08-29","cited_by_count":1,"area":null},{"id":"2104.14586","title":"Crack Semantic Segmentation using the U-Net with Full Attention Strategy","created":"2021-04-29","cited_by_count":0,"area":null},{"id":"2207.07418","title":"LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes","created":"2022-07-15","cited_by_count":0,"area":null},{"id":"2301.08252","title":"Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug","created":"2023-01-19","cited_by_count":0,"area":null},{"id":"2403.09551","title":"Label-supervised surgical instrument segmentation using temporal equivariance and semantic continuity","created":"2024-03-14","cited_by_count":0,"area":null},{"id":"2409.09360","title":"LACOSTE: Exploiting stereo and temporal contexts for surgical instrument segmentation","created":"2024-09-14","cited_by_count":0,"area":null},{"id":"2502.05476","title":"Convolutional Neural Network Segmentation for Satellite Imagery Data to Identify Landforms Using U-Net Architecture","created":"2025-02-08","cited_by_count":0,"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},{"id":"2608.08844","title":"Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3)","created":"2026-08-09","cited_by_count":0,"area":null}],"next_cursor":null}