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Probabilistic pairwise Markov models: application to prostate cancer detection., , , , , , , , и . Medical Imaging: Image Processing, том 7259 из SPIE Proceedings, стр. 725903. SPIE, (2009)Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI., , , , , , и . EMBC, стр. 6269-6272. IEEE, (2011)Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology., , , , , , , и . IEEE Trans. Biomed. Eng., 57 (3): 642-653 (2010)High-Throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Digitized Needle Core Biopsies., , , , , и . Prostate Cancer Imaging, том 6367 из Lecture Notes in Computer Science, стр. 77-88. Springer, (2010)Cascaded multi-class pairwise classifier (CascaMPa) for normal, cancerous, and cancer confounder classes in prostate histology., , , , и . ISBI, стр. 715-718. IEEE, (2011)Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models., , , , , и . EMBC, стр. 3427-3430. IEEE, (2011)Registering Histological and MR Images of Prostate for Image-Based Cancer Detection., , , , и . MICCAI (2), том 4191 из Lecture Notes in Computer Science, стр. 620-628. Springer, (2006)Hierarchical Normalized Cuts: Unsupervised Segmentation of Vascular Biomarkers from Ovarian Cancer Tissue Microarrays., , , , , , и . MICCAI (1), том 5761 из Lecture Notes in Computer Science, стр. 230-238. Springer, (2009)High-Throughput Biomarker Segmentation on Ovarian Cancer Tissue Microarrays via Hierarchical Normalized Cuts., , , , , , и . IEEE Trans. Biomed. Eng., 59 (5): 1240-1252 (2012)Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures., , , , , и . EMBC, стр. 6434-6437. IEEE, (2011)