25 citations · 26 across the 4 of their papers we have counts for
4 papers
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images
Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer +5
Robust semantic segmentation of intraoperative image data holds promise for enabling automatic surgical scene understanding and autonomous robotic surgery. While model development…
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…
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training
Chandrakanth Jayachandran Preetha, Jonathan Kloss, Fabian Siegfried Wehrtmann +5
Minimally Invasive Surgery (MIS) techniques have gained rapid popularity among surgeons since they offer significant clinical benefits including reduced recovery time and diminishe…
Unsupervised temporal context learning using convolutional neural networks for laparoscopic workflow analysis
Sebastian Bodenstedt, Martin Wagner, Darko Katić +6
Computer-assisted surgery (CAS) aims to provide the surgeon with the right type of assistance at the right moment. Such assistance systems are especially relevant in laparoscopic s…