4 papers
Online 3D reconstruction and dense tracking in endoscopic videos
Michel Hayoz, Christopher Hahne, Thomas Kurmann +5
3D scene reconstruction from stereo endoscopic video data is crucial for advancing surgical interventions. In this work, we present an online framework for online, dense 3D scene r…
StofNet: Super-resolution Time of Flight Network
Christopher Hahne, Michel Hayoz, Raphael Sznitman
Time of Flight (ToF) is a prevalent depth sensing technology in the fields of robotics, medical imaging, and non-destructive testing. Yet, ToF sensing faces challenges from complex…
Learning How To Robustly Estimate Camera Pose in Endoscopic Videos
Michel Hayoz, Christopher Hahne, Mathias Gallardo +4
Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries. For this, tracking the end…
CataNet: Predicting remaining cataract surgery duration
Andrés Marafioti, Michel Hayoz, Mathias Gallardo +4
Cataract surgery is a sight saving surgery that is performed over 10 million times each year around the world. With such a large demand, the ability to organize surgical wards and…