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Co-Authors

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This is a "connection" page, showing publications co-authored by Fei Shan and Yuxin Shi.
Fei Shan
Connection Strength
3.409
Yuxin Shi
  1. Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction. Med Phys. 2021 Apr; 48(4):1633-1645.
    View in: PubMed
    Score: 0.933
  2. Longitudinal trajectories of pneumonia lesions and lymphocyte counts associated with disease severity among convalescent COVID-19 patients: a group-based multi-trajectory analysis. BMC Pulm Med. 2021 Jul 13; 21(1):233.
    View in: PubMed
    Score: 0.239
  3. A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients. Ann Transl Med. 2021 Feb; 9(3):216.
    View in: PubMed
    Score: 0.232
  4. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020 Dec; 297(3):E346.
    View in: PubMed
    Score: 0.229
  5. Preliminary investigation of relationship between clinical indicators and CT manifestation patterns of COVID-19 pneumonia improvement. J Thorac Dis. 2020 Oct; 12(10):5896-5905.
    View in: PubMed
    Score: 0.226
  6. Clinical Potential of UTE-MRI for Assessing COVID-19: Patient- and Lesion-Based Comparative Analysis. J Magn Reson Imaging. 2020 08; 52(2):397-406.
    View in: PubMed
    Score: 0.221
  7. Evaluation of antiviral therapies for coronavirus disease 2019 pneumonia in Shanghai, China. J Med Virol. 2020 10; 92(10):1922-1931.
    View in: PubMed
    Score: 0.221
  8. CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics. 2020; 10(12):5613-5622.
    View in: PubMed
    Score: 0.220
  9. Deep learning for detecting corona virus disease 2019 (COVID-19) on high-resolution computed tomography: a pilot study. Ann Transl Med. 2020 Apr; 8(7):450.
    View in: PubMed
    Score: 0.219
  10. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020 04; 295(1):210-217.
    View in: PubMed
    Score: 0.216
  11. HIV-infected patients with opportunistic pulmonary infections misdiagnosed as lung cancers: the clinicoradiologic features and initial application of CT radiomics. J Thorac Dis. 2019 Jun; 11(6):2274-2286.
    View in: PubMed
    Score: 0.206
  12. Epidemiology and clinical course of COVID-19 in Shanghai, China. Emerg Microbes Infect. 2020 Dec; 9(1):1537-1545.
    View in: PubMed
    Score: 0.057
  13. Clinical and CT features of early stage patients with COVID-19: a retrospective analysis of imported cases in Shanghai, China. Eur Respir J. 2020 04; 55(4).
    View in: PubMed
    Score: 0.055
  14. Intra-observer and inter-observer agreements for the measurement of dual-input whole tumor computed tomography perfusion in patients with lung cancer: Influences of the size and inner-air density of tumors. Thorac Cancer. 2017 09; 8(5):427-435.
    View in: PubMed
    Score: 0.045
  15. Clinical and computed tomography findings in Chinese lung cancer patients with HIV infection: A multi-center study. Thorac Cancer. 2017 05; 8(3):238-245.
    View in: PubMed
    Score: 0.044
  16. CT characteristics of non-small cell lung cancer with epidermal growth factor receptor mutation: a systematic review and meta-analysis. BMC Med Imaging. 2017 01 10; 17(1):5.
    View in: PubMed
    Score: 0.044
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.