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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)

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Automated brain extraction of multi-sequence MRI using artificial neural networks., , , , , , , , , and 3 other author(s). CoRR, (2019)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)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)Brain Tumor Segmentation Using Large Receptive Field Deep Convolutional Neural Networks., , , , , , and . Bildverarbeitung für die Medizin, page 86-91. Springer, (2017)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)