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Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction., , , , , , , and . Nat. Mach. Intell., 1 (6): 269-276 (2019)Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging., , , , , , , , , and 9 other author(s). CoRR, (2024)Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?, , , , , , , and . CoRR, (2018)Integrative Analysis for COVID-19 Patient Outcome Prediction., , , , , , , , , and 6 other author(s). CoRR, (2020)Association of AI quantified COVID-19 chest CT and patient outcome., , , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (3): 435-445 (2021)Integrative analysis for COVID-19 patient outcome prediction., , , , , , , , , and 6 other author(s). Medical Image Anal., (2021)Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography., , , , , , , , , and . CoRR, (2020)CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image., , , , , , , , , and 12 other author(s). CoRR, (2020)Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians., , , , , , , and . J. Digit. Imaging, 33 (2): 334-340 (2020)Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome., , , , , , , , , and 5 other author(s). J. Digit. Imaging, 34 (2): 320-329 (2021)