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A digitally assisted technique to improve rectifier efficiency in wireless energy harvesting systems., , , , и . ICCE, стр. 103-104. IEEE, (2016)COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images., , , , , , , , , и 6 other автор(ы). Int. J. Imaging Syst. Technol., 32 (1): 12-25 (2022)Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection., , , , , , , , , и 1 other автор(ы). Comput. Biol. Medicine, (2022)PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients., , , , , , , и . CoRR, (2019)Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study., , , , , , , , , и 32 other автор(ы). Int. J. Imaging Syst. Technol., (марта 2024)Implementation of an FPGA-based low-power video processing module for a head-mounted display system., , , , и . ICCE, стр. 214-217. IEEE, (2013)Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis., , , , , , и . CoRR, (2019)Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning., , , , , , и . CoRR, (2019)Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches., , , , , , , и . CoRR, (2019)Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients., , , , , , , , , и 6 other автор(ы). Comput. Biol. Medicine, (2021)