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Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.

, , , , , , , , , , and . Bildverarbeitung für die Medizin, page 22. Springer Vieweg, (2019)

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Adversarial Networks for Prostate Cancer Detection., , , , , , , and . CoRR, (2017)nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation., , , , , , , , , and 1 other author(s). CoRR, (2018)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)Adversarial Networks for the Detection of Aggressive Prostate Cancer., , , , , , , and . CoRR, (2017)A Probabilistic U-Net for Segmentation of Ambiguous Images., , , , , , , , and . NeurIPS, page 6965-6975. (2018)Unsupervised Anomaly Localization Using Variational Auto-Encoders., , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 289-297. Springer, (2019)Real-time fMRI neurofeedback training to improve eating behavior by self-regulation of the dorsolateral prefrontal cortex: A randomized controlled trial in overweight and obese subjects., , , , , , , , and . NeuroImage, (2019)Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis., , , , , , , , , and 38 other author(s). NeuroImage, (2021)A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities., , , , , , , and . CoRR, (2019)Reg R-CNN: Lesion Detection and Grading under Noisy Labels., , , and . CoRR, (2019)