Co-Authors
This is a "connection" page, showing publications co-authored by Mannudeep Kalra and Subba Digumarthy.
Connection Strength
1.544
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Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. J Digit Imaging. 2021 Apr; 34(2):320-329.
Score: 0.233
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Qualitative and quantitative DECT pulmonary angiography in COVID-19 pneumonia and pulmonary embolism. Clin Radiol. 2021 05; 76(5):392.e1-392.e9.
Score: 0.233
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Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Sci Rep. 2021 01 13; 11(1):858.
Score: 0.231
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Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS One. 2020; 15(9):e0239519.
Score: 0.226
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Computed Tomography Radiomics Can Predict Disease Severity and Outcome in Coronavirus Disease 2019 Pneumonia. J Comput Assist Tomogr. 2020 Sep/Oct; 44(5):640-646.
Score: 0.225
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CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiol Cardiothorac Imaging. 2020 Aug; 2(4):e200322.
Score: 0.223
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A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records. Eur J Radiol. 2021 Jun; 139:109583.
Score: 0.058
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Association of AI quantified COVID-19 chest CT and patient outcome. Int J Comput Assist Radiol Surg. 2021 Mar; 16(3):435-445.
Score: 0.058
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Integrative analysis for COVID-19 patient outcome prediction. Med Image Anal. 2021 01; 67:101844.
Score: 0.057