Co-Authors
This is a "connection" page, showing publications co-authored by Fatemeh Homayounieh and Bernardo Bizzo.
Connection Strength
0.688
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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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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: 0.059
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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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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: 0.058
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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