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Error Metrics for Quantitative Evaluation of Medical Image Segmentation., , , and . Theoretical Foundations of Computer Vision, volume 17 of Computational Imaging and Vision, page 275-284. Kluwer / Springer, (1998)Quantifying the brain's sheet structure with normalized convolution., , , , , , , and . Medical Image Anal., (2017)Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data., , and . Medical Image Anal., 11 (1): 35-46 (2007)Trade-off between angular and spatial resolutions in in vivo fiber tractography., , , , , , , and . NeuroImage, (2016)What you see is what you eat: An ALE meta-analysis of the neural correlates of food viewing in children and adolescents., , , , and . NeuroImage, (2015)Automatic brain tissue segmentation in fetal MRI using convolutional neural networks., , , , , , , , and . CoRR, (2019)Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection., , , and . CoRR, (2022)Liver segmentation and metastases detection in MR images using convolutional neural networks., , , , , , and . CoRR, (2019)Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis., , , , , , , and . CoRR, (2019)Image Registration by Maximization of Combined Mutual Information and Gradient Information., , and . IEEE Trans. Med. Imaging, 19 (8): 809-814 (2000)