Co-Authors
This is a "connection" page, showing publications co-authored by Luca Saba and Alessandro Carriero.
Connection Strength
1.109
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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: 0.238
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Computed tomography findings of COVID-19 pneumonia in Intensive Care Unit-patients. J Public Health Res. 2021 Apr 19; 10(3).
Score: 0.235
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Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs. Int J Comput Assist Radiol Surg. 2021 Mar; 16(3):423-434.
Score: 0.232
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Observational study on healthcare workers protection in the angiographic suite during the SARS-CoV-2 pandemic: before and during vax era. J Public Health Res. 2021 Jun 16; 10(4).
Score: 0.059
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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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A Novel Block Imaging Technique Using Nine Artificial Intelligence Models for COVID-19 Disease Classification, Characterization and Severity Measurement in Lung Computed Tomography Scans on an Italian Cohort. J Med Syst. 2021 Jan 26; 45(3):28.
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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Imaging of Neurologic Disease in Hospitalized Patients with COVID-19: An Italian Multicenter Retrospective Observational Study. Radiology. 2020 11; 297(2):E270-E273.
Score: 0.055