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Semantic description of medical image findings: structured learning approach., , , , , and . BMVC, page 171.1-171.11. BMVA Press, (2015)A Cross Saliency Approach to Asymmetry-Based Tumor Detection., , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 636-643. Springer, (2015)Medical sieve: a cognitive assistant for radiologists and cardiologists., , , , , , , , , and 13 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850A. SPIE, (2016)From medical image to automatic medical report generation., , , , , and . IBM Journal of Research and Development, (2015)Medical Image Description Using Multi-task-loss CNN., , , and . LABELS/DLMIA@MICCAI, volume 10008 of Lecture Notes in Computer Science, page 121-129. (2016)Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning., , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 594-602. Springer, (2017)Multi-atlas based segmentation of multiple organs in breast MRI., , , , , , and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94133R. SPIE, (2015)Automatic Dual-View Mass Detection in Full-Field Digital Mammograms., , , , , and . MICCAI (2), volume 9350 of Lecture Notes in Computer Science, page 44-52. Springer, (2015)A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography., , and . ISBI, page 722-725. IEEE, (2016)