Co-Authors
This is a "connection" page, showing publications co-authored by Mannudeep Kalra and Shadi Ebrahimian.
Connection Strength
2.738
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Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues. Phys Med. 2021 Apr; 84:125-131.
Score: 0.941
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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: 0.924
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PRACTICAL CHALLENGES WITH IMAGING COVID-19 IN BRAZIL: MITIGATION IN AND BEYOND THE PANDEMIC. Radiat Prot Dosimetry. 2021 Sep 08; 195(2):92-98.
Score: 0.242
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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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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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Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia. Clin Imaging. 2021 Dec; 80:58-66.
Score: 0.060
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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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Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J Biomed Health Inform. 2020 12; 24(12):3529-3538.
Score: 0.057