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DNA methylation-based classification of central nervous system tumours.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . Nat., 555 (7697): 469-474 (2018)

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Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks., , , , , , and . Bildverarbeitung für die Medizin, page 86-91. Springer, (2017)Molecular classification of diffuse cerebral WHO grade II/III gliomas using genome- and transcriptome-wide profiling improves stratification of prognostically distinct patient groups, , , , , , , , , and 22 other author(s). Acta Neuropathologica, 129 (5): 679--693 (May 1, 2015)Abstract: Automated Detection and Quantification of Brain Metastases on Clinical MRI Data using CNNs., , , , , , , , , and 4 other author(s). Bildverarbeitung für die Medizin, page 196. Springer, (2023)Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke., , , , , , , , , and 15 other author(s). Bildverarbeitung für die Medizin, page 9. Springer, (2024)Deep Probabilistic Modeling of Glioma Growth., , , , , , , , , and 1 other author(s). MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 806-814. Springer, (2019)Novel, improved grading system(s) for IDH-mutant astrocytic gliomas, , , , , , , , , and 36 other author(s). Acta Neuropathologica, 136 (1): 153--166 (Jul 1, 2018)DNA methylation-based classification of central nervous system tumours., , , , , , , , , and 133 other author(s). Nat., 555 (7697): 469-474 (2018)No New-Net., , , , and . BrainLes@MICCAI (2), volume 11384 of Lecture Notes in Computer Science, page 234-244. Springer, (2018)Abstract: Deep Probabilistic Modeling of Glioma Growth., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 215. Springer, (2020)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)