Within the MODAL research campus, ZIB together with 1000shapes participated at the Large Scale Vertebrae Segmentation Challenge VerSe 2019. A combined approach of machine learning using CNNs and shape modeling led to a promising result for automated segmentation and classification of vertebral bodies from CT data.

Presenters and organizers of the challenge, from left to right: Dalong Cheng (iFLYTEK Research), Tamaz Amiranashvili (ZIB), Amir Hossein Bayat (TU München), Martin Urschler (University of Auckland), Jan Kirschke (TU München) and Anjany Sekuboyina (TU München)