1.3k citations · 5.6k across the 60 of their papers we have counts for
6 papers · 1 filter
Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Ross, David Zimmerer, Anant Vemuri +12
Surgical data science is a new research field that aims to observe all aspects of the patient treatment process in order to provide the right assistance at the right time. Due to t…
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Jianyu Lin, Neil T. Clancy, Yang Hu +5
Intra-operative measurements of tissue shape and multi/ hyperspectral information have the potential to provide surgical guidance and decision making support. We report an optical…
Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
S. Moccia, S. J. Wirkert, H. Kenngott +6
Objective: Surgical data science is evolving into a research field that aims to observe everything occurring within and around the treatment process to provide situation-aware data…
Context encoding enables machine learning-based quantitative photoacoustics
Thomas Kirchner, Janek Gröhl, Lena Maier-Hein
Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide groundbreaking advances in the diagnosis and intervent…
What does it all mean? Capturing Semantics of Surgical Data and Algorithms with Ontologies
Darko Katić, Maria Maleshkova, Sandy Engelhardt +9
Every year approximately 234 million major surgeries are performed, leading to plentiful, highly diverse data. This is accompanied by a matching number of novel algorithms for the…
Surgical Data Science: Enabling Next-Generation Surgery
Lena Maier-Hein, Swaroop Vedula, Stefanie Speidel +22
This paper introduces Surgical Data Science as an emerging scientific discipline. Key perspectives are based on discussions during an intensive two-day international interactive wo…