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CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization., , , , , , and . CoRR, (2023)GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data., , , , , and . CoRR, (2021)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)Transformer Utilization in Medical Image Segmentation Networks., , , , , , and . CoRR, (2023)SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model., , , , , , , and . CoRR, (2023)Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control., , , and . CoRR, (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)MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation., , , , , , , and . CoRR, (2023)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement., , , , , , , , and . CoRR, (2023)