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Prediction of breast cancer metastasis by deep learning pathology., , , , , , и . IET Image Process., 17 (2): 533-543 (февраля 2023)Multi-instance inflated 3D CNN for classifying urine red blood cells from multi-focus videos., , , , , , , и . IET Image Process., 16 (8): 2114-2123 (2022)A new orthogonality empirical likelihood for varying coefficient partially linear instrumental variable models with longitudinal data., , , и . Commun. Stat. Simul. Comput., 49 (12): 3328-3344 (2020)Efficient Estimation for the Derivative of Nonparametric Function by Optimally Combining Quantile Information., , , , и . Symmetry, 13 (12): 2387 (2021)Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators., , , , , , , , , и 4 other автор(ы). Comput. Biol. Medicine, (ноября 2023)Automatic No-Reference kidney tissue whole slide image quality assessment based on composite fusion models., , , , , , и . Biomed. Signal Process. Control., (апреля 2023)MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes., , , , , , , и . CoRR, (2020)Robust empirical likelihood for partially linear models via weighted composite quantile regression., и . Comput. Stat., 33 (2): 659-674 (2018)Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random., и . Comput. Stat., 37 (4): 1727-1750 (2022)Multi-objective optimization and explanation for stroke risk assessment in Shanxi province., , , , , и . CoRR, (2021)