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eess.IV2021
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
Sveinn Pálsson, Stefano Cerri, Koen Van Leemput
In this paper we propose a method for predicting the status of MGMT promoter methylation in high-grade gliomas. From the available MR images, we segment the tumor using deep convol…
eess.IV2021
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images
Sveinn Pálsson, Stefano Cerri, Hans Skovgaard Poulsen +3
Survival prediction models can potentially be used to guide treatment of glioblastoma patients. However, currently available MR imaging biomarkers holding prognostic information ar…