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Probabilistic Cluster Signature for Modeling Motion Classes., , and . IROS, page 5731-5736. IEEE, (2009)Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective., , , , and . J. Digital Imaging, 31 (4): 387-392 (2018)Atlas-Based Probabilistic Fibroglandular Tissue Segmentation in Breast MRI., , and . MICCAI (2), volume 7511 of Lecture Notes in Computer Science, page 437-445. Springer, (2012)Flexible signature descriptions for adaptive motion trajectory representation, perception and recognition., and . Pattern Recognition, 42 (1): 194-214 (2009)Tumor segmentation in brain MRI by sparse optimization., , and . Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86691H. SPIE, (2013)Visual tracking based on group sparsity learning., , and . Mach. Vis. Appl., 26 (1): 127-139 (2015)Fully-Automated Fibroglandular Tissue Segmentation in Breast MRI., , , , and . Digital Mammography / IWDM, volume 7361 of Lecture Notes in Computer Science, page 244-251. Springer, (2012)Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories., , and . ICCV, page 1419-1426. IEEE Computer Society, (2011)Fully-automated fibroglandular tissue segmentation and volumetric density estimation in breast MRI by integrating a continuous max-flow model and a likelihood atlas., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 8670 of SPIE Proceedings, page 86701C. SPIE, (2013)A hierarchical motion trajectory signature descriptor., , and . ICRA, page 3070-3075. IEEE, (2008)