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nnU-Net: Breaking the Spell on Successful Medical Image Segmentation., , , , and . CoRR, (2019)Abstract: C-arm Positioning for Standard Projections During Spinal Implant Placement., , , , , , , , , and 2 other author(s). Bildverarbeitung für die Medizin, page 10. Springer, (2023)DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images., , , , , , , , , and . CoRR, (2024)Leveraging Foundation Models for Content-Based Medical Image Retrieval in Radiology., , , , , , , , , and . CoRR, (2024)Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge., , , , , , , , , and 28 other author(s). NeuroImage, (2021)Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge., , , , , , , , , and 26 other author(s). Medical Image Anal., (2022)atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning., , , , , , , , and . MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 237-246. Springer, (2023)RPTK: The Role of Feature Computation on Prediction Performance., , , , , , , , , and 4 other author(s). MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, volume 14394 of Lecture Notes in Computer Science, page 113-122. Springer, (2023)The Federated Tumor Segmentation (FeTS) Challenge., , , , , , , , , and 22 other author(s). CoRR, (2021)The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge., , , , , , , , , and 31 other author(s). CoRR, (2019)