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Multiscale Segmentation of Three-Dimensional MR Brain Images., , , , and . International Journal of Computer Vision, 31 (2-3): 185-202 (1999)Error Metrics for Quantitative Evaluation of Medical Image Segmentation., , , and . Theoretical Foundations of Computer Vision, page 275-284. Kluwer, (1998)Topological Numbers and Singularities in Scalar Images: Scale-Space Evolution Properties., , , , and . Journal of Mathematical Imaging and Vision, 9 (3): 253-269 (1998)General intensity transformations and differential invariants., , , and . Journal of Mathematical Imaging and Vision, 4 (2): 171-187 (1994)Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490X. SPIE, (2019)Automatic Detection and Characterization of Coronary Artery Plaque and Stenosis using a Recurrent Convolutional Neural Network in Coronary CT Angiography., , , , , and . CoRR, (2018)The EASI project-improving the effectiveness and quality of image-guided surgery., , , , , , , , , and 22 other author(s). IEEE Trans. Information Technology in Biomedicine, 2 (3): 156-168 (1998)Content-Based Image Retrieval by Metric Learning From Radiology Reports: Application to Interstitial Lung Diseases., , , , , , , and . IEEE J. Biomedical and Health Informatics, 20 (1): 281-292 (2016)Construction and evaluation of an average CT brain image for inter-subject registration., , , , and . Comp. in Bio. and Med., 34 (8): 647-662 (2004)Interpolation Artefacts in Mutual Information-Based Image Registration., , and . Computer Vision and Image Understanding, 77 (2): 211-232 (2000)