Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Simone Schiaffino and Francesco Sardanelli.
Simone Schiaffino
Connection Strength
6.930
Francesco Sardanelli
  1. Axillary lymphadenopathy at the time of COVID-19 vaccination: ten recommendations from the European Society of Breast Imaging (EUSOBI). Insights Imaging. 2021 Aug 20; 12(1):119.
    View in: PubMed
    Score: 0.963
  2. Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features. J Pers Med. 2021 Jun 03; 11(6).
    View in: PubMed
    Score: 0.949
  3. Pulmonary thromboembolism in coronavirus disease 2019 patients undergoing thromboprophylaxis. Medicine (Baltimore). 2021 Jan 08; 100(1):e24002.
    View in: PubMed
    Score: 0.923
  4. Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy. J Thorac Imaging. 2020 Jul; 35(4):W105-W106.
    View in: PubMed
    Score: 0.890
  5. Association of mediastinal lymphadenopathy with COVID-19 prognosis. Lancet Infect Dis. 2020 11; 20(11):1230-1231.
    View in: PubMed
    Score: 0.888
  6. CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19. Radiology. 2021 08; 300(2):E328-E336.
    View in: PubMed
    Score: 0.234
  7. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia. Diagnostics (Basel). 2021 Mar 16; 11(3).
    View in: PubMed
    Score: 0.234
  8. Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy. Eur Radiol Exp. 2021 02 02; 5(1):7.
    View in: PubMed
    Score: 0.232
  9. Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study. Eur Radiol Exp. 2020 12 15; 4(1):68.
    View in: PubMed
    Score: 0.230
  10. Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients. Obes Res Clin Pract. 2021 Jan-Feb; 15(1):89-92.
    View in: PubMed
    Score: 0.229
  11. Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance. Eur J Radiol. 2020 Nov; 132:109272.
    View in: PubMed
    Score: 0.226
  12. Bringing radiology to patient's home using mobile equipment: A weapon to fight COVID-19 pandemic. Clin Imaging. 2020 Dec; 68:99-101.
    View in: PubMed
    Score: 0.222
  13. CT-derived pulmonary vascular metrics and clinical outcome in COVID-19 patients. Quant Imaging Med Surg. 2020 Jun; 10(6):1325-1333.
    View in: PubMed
    Score: 0.221
  14. Technique, protocols and adverse reactions for contrast-enhanced spectral mammography (CESM): a systematic review. Insights Imaging. 2019 Aug 02; 10(1):76.
    View in: PubMed
    Score: 0.209
  15. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring). 2021 09; 29(9):1427-1433.
    View in: PubMed
    Score: 0.060
  16. Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity. Eat Weight Disord. 2022 Feb; 27(1):345-359.
    View in: PubMed
    Score: 0.059
  17. Epicardial Fat Inflammation in Severe COVID-19. Obesity (Silver Spring). 2020 12; 28(12):2260-2262.
    View in: PubMed
    Score: 0.057
  18. Breast imaging and cancer diagnosis during the COVID-19 pandemic: recommendations from the Italian College of Breast Radiologists by SIRM. Radiol Med. 2020 Oct; 125(10):926-930.
    View in: PubMed
    Score: 0.056
  19. Artificial Intelligence for Breast MRI in 2008-2018: A Systematic Mapping Review. AJR Am J Roentgenol. 2019 02; 212(2):280-292.
    View in: PubMed
    Score: 0.050
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.