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Deep variational auto-encoders for unsupervised glomerular classification., , , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810C. SPIE, (2018)Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis., , , , , , , , , and . CoRR, (2018)Micro-CT analysis of trabecular parameters gradients in femurs of mice affected by chronic kidney disease., , , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781M. SPIE, (2018)Examining structural changes in diabetic nephropathy using inter-nuclear distances in glomeruli: a comparison of variously automated methods., , , , and . Medical Imaging: Digital Pathology, volume 10581 of SPIE Proceedings, page 105810B. SPIE, (2018)Automated detection and quantification of Wilms' Tumor 1-positive cells in murine diabetic kidney disease., , , , , , , , , and 1 other author(s). Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)An integrated iterative annotation technique for easing neural network training in medical image analysis., , , , , , , , , and . Nat. Mach. Intell., 1 (2): 112-119 (2019)The presence and location of podocytes in glomeruli as affected by diabetes mellitus., , , , , , and . Medical Imaging: Digital Pathology, volume 11320 of SPIE Proceedings, page 1132018. SPIE, (2020)