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20172026
most citedCholecTriplet2021: A benchmark challenge for surgical action triplet recognition

78 citations · 200 across the 24 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Rethinking Anticipation Tasks: Uncertainty-aware Anticipation of Sparse Surgical Instrument Usage for Context-aware Assistance

Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke +4

Intra-operative anticipation of instrument usage is a necessary component for context-aware assistance in surgery, e.g. for instrument preparation or semi-automation of robotic tas…

cs.CV2020

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room

Lena Maier-Hein, Martin Wagner, Tobias Ross +30

Image-based tracking of medical instruments is an integral part of surgical data science applications. Previous research has addressed the tasks of detecting, segmenting and tracki…

cs.CV2020

Robust Medical Instrument Segmentation Challenge 2019

Tobias Ross, Annika Reinke, Peter M. Full +47

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…

cs.CV2020

Unsupervised Temporal Video Segmentation as an Auxiliary Task for Predicting the Remaining Surgery Duration

Dominik Rivoir, Sebastian Bodenstedt, Felix von Bechtolsheim +3

Estimating the remaining surgery duration (RSD) during surgical procedures can be useful for OR planning and anesthesia dose estimation. With the recent success of deep learning-ba…

cs.CV2020

2018 Robotic Scene Segmentation Challenge

Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38

In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…