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nnu-net: Self-adapting framework for u-net-based medical image segmentation

F. "Isensee, J. "Petersen, A. "Klein, D. "Zimmerer, P. "Jaeger, S. "Kohl, J. "Wasserthal, G. "Köhler, T. "Norajitra, S. "Wirkert, and K. "Maier-Hein. (2018)

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Abstract: RecycleNet - Latent Feature Recycling Leads to Iterative Decision Refinement.G. Köhler, T. Wald, C. Ulrich, D. Zimmerer, P. Jaeger, J. Franke, S. Kohl, F. Isensee, and K. Maier-Hein. Bildverarbeitung für die Medizin, page 219. Springer, (2024)CRADL: Contrastive Representations for Unsupervised Anomaly Detection and Localization.C. Lüth, D. Zimmerer, G. Köhler, P. Jaeger, F. Isensee, J. Petersen, and K. Maier-Hein. CoRR, (2023)nnDetection: A Self-configuring Method for Medical Object Detection.M. Baumgartner, P. Jaeger, F. Isensee, and K. Maier-Hein. CoRR, (2021)Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation.F. Isensee, J. Petersen, A. Klein, D. Zimmerer, P. Jaeger, S. Kohl, J. Wasserthal, G. Köhler, T. Norajitra, S. Wirkert and 1 other author(s). Bildverarbeitung für die Medizin, page 22. Springer Vieweg, (2019)Application-driven Validation of Posteriors in Inverse Problems.T. Adler, J. Nölke, A. Reinke, M. Tizabi, S. Gruber, D. Trofimova, L. Ardizzone, P. Jaeger, F. Büttner, U. Köthe and 1 other author(s). CoRR, (2023)Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment.C. Lüth, T. Bungert, L. Klein, and P. Jaeger. NeurIPS, (2023)nnU-Net for Brain Tumor Segmentation.F. Isensee, P. Jaeger, P. Full, P. Vollmuth, and K. Maier-Hein. CoRR, (2020)Contrastive Representations for Unsupervised Anomaly Detection and Localization.C. Lüth, D. Zimmerer, G. Köhler, P. Jaeger, F. Isensee, and K. Maier-Hein. Bildverarbeitung für die Medizin, page 246-252. Springer, (2023)Abstract: 3D Medical Image Segmentation with Transformer-based Scaling of ConvNets - MedNeXt.S. Roy, G. Köhler, M. Baumgartner, C. Ulrich, F. Isensee, P. Jaeger, and K. Maier-Hein. Bildverarbeitung für die Medizin, page 79. Springer, (2024)RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement.G. Köhler, T. Wald, C. Ulrich, D. Zimmerer, P. Jaeger, J. Franke, S. Kohl, F. Isensee, and K. Maier-Hein. WACV, page 799-807. IEEE, (2024)

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nnu-net: Self-adapting framework for u-net-based medical image segmentation

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML nnu-net: Self-adapting framework for u-net-based medical image segmentation

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nnu-net: Self-adapting framework for u-net-based medical image segmentation