Co-Authors
This is a "connection" page, showing publications co-authored by Mannudeep Kalra and Fatemeh Homayounieh.
Connection Strength
4.448
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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: 0.931
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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: 0.901
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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: 0.894
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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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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: 0.235
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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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Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study. Radiology. 2021 03; 298(3):E141-E151.
Score: 0.228
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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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Chest CT practice and protocols for COVID-19 from radiation dose management perspective. Eur Radiol. 2020 Dec; 30(12):6554-6560.
Score: 0.223
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CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. NPJ Digit Med. 2021 Feb 18; 4(1):29.
Score: 0.058
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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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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
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Integrative analysis for COVID-19 patient outcome prediction. Med Image Anal. 2021 01; 67:101844.
Score: 0.057
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Deep learning in chest radiography: Detection of findings and presence of change. PLoS One. 2018; 13(10):e0204155.
Score: 0.049