Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Federico Mento and Gino Soldati.
Connection Strength

1.757
  1. Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study. J Acoust Soc Am. 2021 05; 149(5):3626.
    View in: PubMed
    Score: 0.236
  2. LUS for COVID-19 Pneumonia: Flexible or Reproducible Approach? J Ultrasound Med. 2022 Feb; 41(2):525-526.
    View in: PubMed
    Score: 0.235
  3. There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia. J Ultrasound Med. 2021 Dec; 40(12):2783.
    View in: PubMed
    Score: 0.232
  4. On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? J Ultrasound Med. 2021 Oct; 40(10):2235-2238.
    View in: PubMed
    Score: 0.229
  5. On Lung Ultrasound Patterns Specificity in the Management of COVID-19 Patients. J Ultrasound Med. 2020 11; 39(11):2283-2284.
    View in: PubMed
    Score: 0.220
  6. Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID-19: A Simple, Quantitative, Reproducible Method. J Ultrasound Med. 2020 Jul; 39(7):1413-1419.
    View in: PubMed
    Score: 0.219
  7. Is There a Role for Lung Ultrasound During the COVID-19 Pandemic? J Ultrasound Med. 2020 Jul; 39(7):1459-1462.
    View in: PubMed
    Score: 0.219
  8. Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations? J Ultrasound Med. 2021 Mar; 40(3):521-528.
    View in: PubMed
    Score: 0.056
  9. Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 11; 67(11):2207-2217.
    View in: PubMed
    Score: 0.056
  10. Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. IEEE Trans Med Imaging. 2020 08; 39(8):2676-2687.
    View in: PubMed
    Score: 0.055
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.