Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Luca Saba and Zeno Falaschi.
Luca Saba
Connection Strength
0.879
Zeno Falaschi
  1. Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia. Clin Imaging. 2021 Dec; 80:58-66.
    View in: PubMed
    Score: 0.238
  2. Computed tomography findings of COVID-19 pneumonia in Intensive Care Unit-patients. J Public Health Res. 2021 Apr 19; 10(3).
    View in: PubMed
    Score: 0.235
  3. 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.
    View in: PubMed
    Score: 0.232
  4. 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.
    View in: PubMed
    Score: 0.059
  5. 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.
    View in: PubMed
    Score: 0.058
  6. Integrative analysis for COVID-19 patient outcome prediction. Med Image Anal. 2021 01; 67:101844.
    View in: PubMed
    Score: 0.057
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.