Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Luca Saba and Azra Alizad.
Luca Saba
Connection Strength
0.467
Azra Alizad
  1. 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
  2. Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J Biomed Health Inform. 2021 11; 25(11):4128-4139.
    View in: PubMed
    Score: 0.061
  3. COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models. Diagnostics (Basel). 2021 Aug 04; 11(8).
    View in: PubMed
    Score: 0.060
  4. A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput Biol Med. 2021 03; 130:104210.
    View in: PubMed
    Score: 0.058
  5. COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review. Comput Biol Med. 2020 09; 124:103960.
    View in: PubMed
    Score: 0.056
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.