Connection

Co-Authors

Back to Details
This is a "connection" page, showing publications co-authored by Mannudeep Kalra and Luca Saba.
Mannudeep Kalra
Connection Strength
1.122
Luca Saba
  1. 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: 0.240
  2. 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
  3. Complications in COVID-19 patients: Characteristics of pulmonary embolism. Clin Imaging. 2021 Sep; 77:244-249.
    View in: PubMed
    Score: 0.236
  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: 0.235
  5. 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.
    View in: PubMed
    Score: 0.058
  6. 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.
    View in: PubMed
    Score: 0.057
  7. 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.