3 papers
eess.IV2025
Soft Tissue Simulation and Force Estimation from Heterogeneous Structures using Equivariant Graph Neural Networks
Madina Kojanazarova, Sidaty El Hadramy, Jack Wilkie +2
Accurately simulating soft tissue deformation is crucial for surgical training, pre-operative planning, and real-time haptic feedback systems. While physics-based models such as th…
eess.IV2023
Improved distinct bone segmentation in upper-body CT through multi-resolution networks
Eva Schnider, Julia Wolleb, Antal Huck +4
Purpose: Automated distinct bone segmentation from CT scans is widely used in planning and navigation workflows. U-Net variants are known to provide excellent results in supervised…
eess.IV2022
Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
Eva Schnider, Antal Huck, Mireille Toranelli +4
Purpose: The localisation and segmentation of individual bones is an important preprocessing step in many planning and navigation applications. It is, however, a time-consuming and…