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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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Clickstream Analysis for Crowd-Based Object Segmentation with Confidence., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (12): 2814-2826 (2018)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)Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images., , , , , , , and . Bildverarbeitung für die Medizin, page 158-163. Springer Vieweg, (2019)Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 22. Springer Vieweg, (2019)nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation., , , , , , , , , and 1 other author(s). CoRR, (2018)Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge., , , , and . CoRR, (2018)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning., , , , , , , , , and 5 other author(s). Int. J. Comput. Assist. Radiol. Surg., 13 (6): 925-933 (2018)Exploiting the potential of unlabeled endoscopic video data with self-supervised learning., , , , , , , , , and 3 other author(s). CoRR, (2017)Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features., , , , , and . STACOM@MICCAI, volume 10663 of Lecture Notes in Computer Science, page 120-129. Springer, (2017)Deep Probabilistic Modeling of Glioma Growth., , , , , , , , , and 1 other author(s). CoRR, (2019)