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20172023
most citedSurgical Data Science: Enabling Next-Generation Surgery

578 citations · 1.7k across the 36 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 2 cited

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications

Danush Kumar Venkatesh, Dominik Rivoir, Micha Pfeiffer +4

In surgical computer vision applications, obtaining labeled training data is challenging due to data-privacy concerns and the need for expert annotation. Unpaired image-to-image tr…

cs.CV2023★ 12 cited

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition

Isabel Funke, Dominik Rivoir, Stefanie Krell +1

Objective: To enable context-aware computer assistance in the operating room of the future, cognitive systems need to understand automatically which surgical phase is being perform…

cs.CV2023★ 8 cited

Metrics Matter in Surgical Phase Recognition

Isabel Funke, Dominik Rivoir, Stefanie Speidel

Surgical phase recognition is a basic component for different context-aware applications in computer- and robot-assisted surgery. In recent years, several methods for automatic sur…

cs.CV2023★ 6 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.CV2023★ 1 cited

Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography

Peng Liu, Jonas Golde, Joseph Morgenstern +7

Purpose: Middle ear infection is the most prevalent inflammatory disease, especially among the pediatric population. Current diagnostic methods are subjective and depend on visual…

cs.CV2023★ 1 cited

Why is the winner the best?

Matthias Eisenmann, Annika Reinke, Vivienn Weru +122

International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…