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Automated brain extraction of multi-sequence MRI using artificial neural networks., , , , , , , , , and 3 other author(s). CoRR, (2019)Deep Probabilistic Modeling of Glioma Growth., , , , , , , , , and 1 other author(s). CoRR, (2019)Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks., , , , , , and . Bildverarbeitung für die Medizin, page 86-91. Springer, (2017)Scanning for the scanner: FMRI of audition by read-out omissions from echo-planar imaging., , , , , , , , and . NeuroImage, 35 (1): 234-243 (2007)Human dorsal-root-ganglion perfusion measured in-vivo by MRI., , , , and . NeuroImage, (2016)Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge., , , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 287-297. Springer, (2017)Relaxation-compensated CEST-MRI of the human brain at 7 T: Unbiased insight into NOE and amide signal changes in human glioblastoma., , , , , , , , , and 4 other author(s). NeuroImage, (2015)Deep MRI brain extraction: A 3D convolutional neural network for skull stripping., , , , , , and . NeuroImage, (2016)Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge., , , , and . CoRR, (2018)No New-Net., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 234-244. Springer, (2018)