17 citations · 39 across the 4 of their papers we have counts for
4 papers
Using Supervised Deep-Learning to Model Edge-FBG Shape Sensors
Samaneh Manavi Roodsari, Antal Huck-Horvath, Sara Freund +4
Continuum robots in robot-assisted minimally invasive surgeries provide adequate access to target anatomies that are not directly reachable through small incisions. Achieving preci…
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…
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Eva Schnider, Antal Horváth, Georg Rauter +3
Segmentation of distinct bones plays a crucial role in diagnosis, planning, navigation, and the assessment of bone metastasis. It supplies semantic knowledge to visualisation tools…
Machine learning-based method for linearization and error compensation of an absolute rotary encoder
Lorenzo Iafolla, Massimiliano Filipozzi, Sara Freund +3
The main objective of this work is to develop a miniaturized, high accuracy, single-turn absolute, rotary encoder called ASTRAS360. Its measurement principle is based on capturing…