1. Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features;Bakas;Sci Data,2017
2. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation;Bakas;Progression Assessment, and Overall Survival Prediction in the BRATS Challenge,2018
3. Phiseg: Capturing uncertainty in medical image segmentation;Baumgartner,2019
4. Optimizing the dice score and jaccard index for medical image segmentation: Theory and practice;Bertels,2019
5. Optimization with soft dice can lead to a volumetric bias;Bertels,2020