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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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Contrastive Representations for Unsupervised Anomaly Detection and Localization., , , , , and . Bildverarbeitung für die Medizin, page 246-252. Springer, (2023)Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt., , , , , , and . Bildverarbeitung für die Medizin, page 79. Springer, (2024)A Noisy nnU-Net Student for Semi-supervised Abdominal Organ Segmentation., , and . FLARE@MICCAI, volume 13816 of Lecture Notes in Computer Science, page 128-138. Springer, (2022)Continuous-Time Deep Glioma Growth Models., , , , , , , , , and 2 other author(s). MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 83-92. Springer, (2021)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . WACV, page 799-807. IEEE, (2024)GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data., , , , , and . CoRR, (2021)CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization., , , , , , and . CoRR, (2023)Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . Bildverarbeitung für die Medizin, page 219. Springer, (2024)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)MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images., , , , , , , , , and 24 other author(s). IEEE Trans. Medical Imaging, 41 (10): 2728-2738 (2022)