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Experiments with radiologists and a fully automated method for characterization of microcalcification clusters., , and . CARS, volume 1230 of International Congress Series, page 586-592. Elsevier, (2001)Interval change analysis to improve computer aided detection in mammography., and . Medical Image Analysis, 10 (1): 82-95 (2006)Computer-aided diagnosis with temporal analysis to improve radiologists' interpretation of mammographic mass lesions., , and . IEEE Trans. Information Technology in Biomedicine, 14 (3): 803-808 (2010)Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation., , , , , , , and . ISBI, page 1414-1417. IEEE, (2016)A Comparison of Methods for Mammogram Registration., , , and . IEEE Trans. Med. Imaging, 22 (11): 1436-1444 (2003)Thickness correction of mammographic images by means of a global parameter model of the compressed breast., and . IEEE Trans. Med. Imaging, 23 (7): 799-806 (2004)Temporal Change Analysis for Characterization of Mass Lesions in Mammography., , and . IEEE Trans. Med. Imaging, 26 (7): 945-953 (2007)Gray-scale and geometric registration of full-field digital and film-screen mammograms., and . Medical Image Analysis, 11 (2): 146-156 (2007)Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin., , , , , , , , , and 1 other author(s). CoRR, (2016)Automated Labeling of Screening Mammograms with Arterial Calcifications., , , and . Digital Mammography / IWDM, volume 8539 of Lecture Notes in Computer Science, page 589-596. Springer, (2014)