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nnU-Net: Breaking the Spell on Successful Medical Image Segmentation., , , , and . CoRR, (2019)Reg R-CNN: Lesion Detection and Grading under Noisy Labels., , , and . CoRR, (2019)Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection., , , , and . CoRR, (2018)Abstract: Deep Probabilistic Modeling of Glioma Growth., , , , , , , , , and 1 other author(s). Bildverarbeitung für die Medizin, page 215. Springer, (2020)A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities., , , , , , , and . CoRR, (2019)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)A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients., , , and . CoRR, (2019)Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection., , , , , , and . CoRR, (2018)Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection., , , , , , and . ML4H@NeurIPS, volume 116 of Proceedings of Machine Learning Research, page 171-183. PMLR, (2019)nnU-Net: Breaking the Spell on Successful Medical Image Segmentation, , , , and . arXiv e-prints, (April 2019)