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COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images., , , , , , , , , and 6 other author(s). Int. J. Imaging Syst. Technol., 32 (1): 12-25 (2022)CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image., , , , , , , , , and 12 other author(s). CoRR, (2020)Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study., , , , , , , , , and 32 other author(s). Int. J. Imaging Syst. Technol., (March 2024)Screening COVID-19 Based on CT/CXR Images & Building a Publicly Available CT-scan Dataset of COVID-19., , , , and . CoRR, (2020)COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients., , , , , , , , , and 39 other author(s). Comput. Biol. Medicine, (2022)Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients., , , , , , , , , and 6 other author(s). Comput. Biol. Medicine, (2021)Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net., , , , , , , and . Comput. Biol. Medicine, (2022)CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images., , , , , , , , , and 12 other author(s). npj Digit. Medicine, (2021)