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Christoph Berger
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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
17742018
Brats toolkit: translating brats brain tumor segmentation algorithms into clinical and scientific practice
F Kofler, C Berger, D Waldmannstetter, J Lipkova, I Ezhov, G Tetteh, ...
Frontiers in neuroscience 14, 501835, 2020
802020
Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
R McKinley, R Wepfer, L Grunder, F Aschwanden, T Fischer, C Friedli, ...
NeuroImage: Clinical 25, 102104, 2020
662020
Confidence-based out-of-distribution detection: a comparative study and analysis
C Berger, M Paschali, B Glocker, K Kamnitsas
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021
442021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient
F Kofler, I Ezhov, F Isensee, F Balsiger, C Berger, M Koerner, B Demiray, ...
arXiv preprint arXiv:2103.06205, 2021
372021
Modelhub. ai: Dissemination platform for deep learning models
A Hosny, M Schwier, C Berger, EP Örnek, M Turan, PV Tran, L Weninger, ...
arXiv preprint arXiv:1911.13218, 2019
212019
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Articles 1–6