One to Many: Adaptive Instrument Segmentation via Meta Learning and
Dynamic Online Adaptation in Robotic Surgical Video

One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video

24 March 2021

Pheng-Ann Heng

Papers citing "One to Many: Adaptive Instrument Segmentation via Meta Learning and Dynamic Online Adaptation in Robotic Surgical Video"

16 / 16 papers shown

Title
Is Segment Anything Model 2 All You Need for Surgery Video Segmentation? A Systematic Evaluation Cheng Yuan Jian Jiang Kunyi Yang Lv Wu Rui Wang ... Yifan Zhou Wanli Song H. Wang Qi Dou Yutong Ban 28 1 0 03 Jan 2025
VideoSAM: Open-World Video Segmentation Pinxue Guo Zixu Zhao Jianxiong Gao Chongruo Wu Tong He Zheng Zhang Tianjun Xiao Wenqiang Zhang VOS 28 0 0 11 Oct 2024
Personalizing Federated Instrument Segmentation with Visual Trait Priors in Robotic Surgery Jialang Xu Jiacheng Wang Lequan Yu Danail Stoyanov Yueming Jin E. Mazomenos 31 1 0 06 Aug 2024
Harnessing Meta-Learning for Improving Full-Frame Video Stabilization M. K. Ali Eun Woo Im Dongjin Kim Tae Hyun Kim 27 1 0 06 Mar 2024
Visual-Kinematics Graph Learning for Procedure-agnostic Instrument Tip Segmentation in Robotic Surgeries Jiaqi Liu Yonghao Long Kai-xiang Chen Cheuk Hei Leung Zerui Wang Qi Dou 19 2 0 02 Sep 2023
Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art Tobias Rueckert Daniel Rueckert Christoph Palm 22 17 0 25 Apr 2023
MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation Nicolás Ayobi Alejandra Pérez-Rondón Santiago Rodríguez Pablo Arbelaez MedIm 43 18 0 16 Mar 2023
One-shot skill assessment in high-stakes domains with limited data via meta learning Erim Yanik Steven D. Schwaitzberg Gene Yang Xavier Intes Jack Norfleet Matthew Hackett S. De 36 3 0 16 Dec 2022
Rethinking Causality-driven Robot Tool Segmentation with Temporal Constraints Hao Ding J. Wu Zhaoshuo Li Mathias Unberath CML 35 10 0 30 Nov 2022
A comprehensive survey on recent deep learning-based methods applied to surgical data Mansoor Ali Rafael Martinez Garcia Peña Gilberto Ochoa-Ruiz Sharib Ali 17 6 0 03 Sep 2022
CaRTS: Causality-driven Robot Tool Segmentation from Vision and Kinematics Data Hao Ding Jintan Zhang Peter Kazanzides J. Wu Mathias Unberath 26 17 0 15 Mar 2022
TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery Zixu Zhao Yueming Jin Pheng-Ann Heng MedIm 16 45 0 17 Feb 2022
Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit C. D’Ettorre A. Mariani A. Stilli Ferdinando Rodriguez y Baena Pietro Valdastri ... Russell H. Taylor Gregory S. Fischer S. DiMaio A. Menciassi Danail Stoyanov 22 86 0 20 Apr 2021
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation Manish Sahu Ronja Strömsdörfer Anirban Mukhopadhyay S. Zachow 55 35 0 22 Jul 2020
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial Learning Mobarakol Islam Daniel Anojan Atputharuban Ravikiran Ramesh Hongliang Ren MedIm 82 94 0 22 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017