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Applying Machine Learning to Gait Analysis Data for Disease Identification., , and . MIE, volume 210 of Studies in Health Technology and Informatics, page 850-854. IOS Press, (2015)Using Probability Maps for Multi-organ Automatic Segmentation., , and . MCV, volume 8331 of Lecture Notes in Computer Science, page 222-228. Springer, (2013)Finding seed points for organ segmentation using example annotations., and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 903444. SPIE, (2014)Rotation-covariant tissue analysis for interstitial lung diseases using learned steerable filters: Performance evaluation and relevance for diagnostic aid., , and . Comput. Medical Imaging Graph., (2018)Locating seed points for automatic multi-organ segmentation using non-rigid registration and organ annotations., and . Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 94133S. SPIE, (2015)Using Probability Maps for Multi–organ Automatic Segmentation, , and . MICCAI MCV workshop, (2014)Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification., , , and . Medical Image Anal., (2019)A Demo of multimodal medical retrieval., , and . CBMI, page 1-4. IEEE, (2016)Semi-supervised Learning for Image Modality Classification., , , , , and . MRDM@ECIR, volume 9059 of Lecture Notes in Computer Science, page 85-98. Springer, (2015)GPU-Accelerated Texture Analysis Using Steerable Riesz Wavelets., , , , , and . PDP, page 431-434. IEEE Computer Society, (2016)