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Ontology Based Possibilistic Reasoning for Breast Cancer Aided Diagnosis., , , , and . EMCIS, volume 299 of Lecture Notes in Business Information Processing, page 353-366. Springer, (2017)Association rules-based Ontology Enrichment., , , , and . IJWA, 8 (1): 16-25 (2016)Iris recognition based on multi-block Gabor features encoding and improved by quality measures., and . Int. J. Data Min. Model. Manag., 6 (2): 148-167 (2014)Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation., , , and . ICISP, volume 10884 of Lecture Notes in Computer Science, page 36-44. Springer, (2018)Ontological approach to mammographic knowledge representation., , and . ATSIP, page 31-34. IEEE, (2014)3D Segmentation of MRI Brain Using Level Set and Unsupervised Classification., and . Int. J. Image Graph., 10 (1): 135-154 (2010)Vascular Structures Registration in 2D MRA Images., , and . DICTAP (1), volume 166 of Communications in Computer and Information Science, page 146-160. Springer, (2011)Fully Automatic Brain Tumor Segmentation Based on Multi-Modality MRI and Level-set., and . J. Ubiquitous Syst. Pervasive Networks, 3 (2): 47-54 (2011)Palm Vein Recognition based on NonsubSampled Contourlet Transform Features., , and . VISIGRAPP (4: VISAPP), page 249-254. SciTePress, (2016)Feature selection and classification using multiple kernel learning for brain tumor segmentation., , , and . ATSIP, page 1-5. IEEE, (2018)