Search Results for author: Thijs Vande Vyvere

Found 2 papers, 0 papers with code

Unsupervised 3D Brain Anomaly Detection

no code implementations9 Oct 2020 Jaime Simarro, Ezequiel de la Rosa, Thijs Vande Vyvere, David Robben, Diana M. Sima

Moreover, we test the potential of the method for detecting other anomalies such as low quality images, preprocessing inaccuracies, artifacts, and even the presence of post-operative signs (such as a craniectomy or a brain shunt).

Anomaly Detection

A Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans

no code implementations14 Nov 2018 Ezequiel de la Rosa, Diana M. Sima, Thijs Vande Vyvere, Jan S. Kirschke, Bjoern Menze

Relevant shape, intensity and texture biomarkers characterizing the different lesions are isolated and a lesion predictive model is built by using Partial Least Squares.

Decision Making Injury Prediction +2

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