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Characterizing International Biomarker Standardization Initiative Image Features using Brodatz Textures., , , , , , и . SIPAIM, стр. 1-5. IEEE, (2023)Pectoral Muscle Segmentation from Digital Mammograms Using a Transformative Approach., , , , , и . SIPAIM, стр. 1-5. IEEE, (2023)Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images., , , , , , , , , и 1 other автор(ы). BCB, стр. 22:1-22:10. ACM, (2020)Image Perturbation Analysis to Study the Effect of Noise on Radiomics Metrics: Phantom Study., , , , , , , и . SIPAIM, стр. 1-5. IEEE, (2023)Effects of Reconstruction Filter Kernels in Computed Tomography on Radiomic Image Features., , , , , , и . SIPAIM, стр. 1-5. IEEE, (2023)Discriminant Radiomic Feature Selection for PD-L1 Prediction in Clear Cell Renal Cell Carcinoma., , , , , , , и . SIPAIM, стр. 1-5. IEEE, (2023)Breast Lesion Classification using Radiomics-derived Regions of Interest on Mammograms., , , , и . SIPAIM, стр. 1-5. IEEE, (2023)NecroQuant: quantitative assessment of radiological necrosis., , , , и . SIPAIM, том 10572 из SPIE Proceedings, стр. 105721I. SPIE, (2017)Wavelets analysis for differentiating solid, non-macroscopic fat containing, enhancing renal masses: a pilot study., , , , , , и . SIPAIM, том 10572 из SPIE Proceedings, стр. 105720T. SPIE, (2017)A Decision-Support Tool for Renal Mass Classification., , , , , , , и . J. Digit. Imaging, 31 (6): 929-939 (2018)