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Exhibiting interpretational and representational validity.. Synthese, 191 (7): 1349-1373 (2014)nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation., , , , , , and . CoRR, (2024)Abstract: Object Detection for Breast Diffusion-weighted Imaging., , , , , , , , , and 3 other author(s). Bildverarbeitung für die Medizin, page 334. Springer, (2024)Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge., , , , , , , , , and 28 other author(s). NeuroImage, (2021)Uncovering deterministic causal structures: a Boolean approach.. Synthese, 170 (1): 71-96 (2009)Abstract: Multi-dataset Approach to Medical Image Segmentation - MultiTalent., , , , , and . Bildverarbeitung für die Medizin, page 78. Springer, (2024)Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification., , , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 495-503. Springer, (2019)MultiTalent: A Multi-dataset Approach to Medical Image Segmentation., , , , , and . MICCAI (3), volume 14222 of Lecture Notes in Computer Science, page 648-658. Springer, (2023)The Lessac Technologies System for Blizzard Challenge 2011., , , , , and . Blizzard Challenge, ISCA, (2011)Abstract: Deep Learning-based Detection of Vessel Occlusions on CT-Angiography in Patients with Suspected Acute Ischemic Stroke., , , , , , , , , and 15 other author(s). Bildverarbeitung für die Medizin, page 9. Springer, (2024)