4 papers
Landmark-free Statistical Shape Modeling via Neural Flow Deformations
David Lüdke, Tamaz Amiranashvili, Felix Ambellan +3
Statistical shape modeling aims at capturing shape variations of an anatomical structure that occur within a given population. Shape models are employed in many tasks, such as shap…
Geodesic B-Score for Improved Assessment of Knee Osteoarthritis
Felix Ambellan, Stefan Zachow, Christoph von Tycowicz
Three-dimensional medical imaging enables detailed understanding of osteoarthritis structural status. However, there remains a vast need for automatic, thus, reader-independent mea…
Simulation-to-Real domain adaptation with teacher-student learning for endoscopic instrument segmentation
Manish Sahu, Anirban Mukhopadhyay, Stefan Zachow
Purpose: Segmentation of surgical instruments in endoscopic videos is essential for automated surgical scene understanding and process modeling. However, relying on fully supervise…
Endo-Sim2Real: Consistency learning-based domain adaptation for instrument segmentation
Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay +1
Surgical tool segmentation in endoscopic videos is an important component of computer assisted interventions systems. Recent success of image-based solutions using fully-supervised…