Radiology and Imaging

  1. Value of radiomics features from adrenal gland and periadrenal fat CT images predicting COVID-19 progression

    1. Mudan Zhang
    2. Xuntao Yin
    3. Wuchao Li
    4. Yan Zha
    5. Xianchun Zeng
    6. Xiaoyong Zhang
    7. Jingjing Cui
    8. Jie Tian
    9. Rongpin Wang
    10. Chen Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs

    1. Sivaramakrishnan Rajaraman
    2. Sudhir Sornapudi
    3. Philip O. Alderson
    4. Les R. Folio
    5. Sameer K. Antani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Automatic Detection of COVID-19 and Pneumonia from Chest X-Ray using Transfer Learning

    1. Sarath Pathari
    2. Rahul U

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Automated COVID-19 Detection from Chest X-Ray Images: A High-Resolution Network (HRNet) Approach

    1. Sifat Ahmed
    2. Tonmoy Hossain
    3. Oishee Bintey Hoque
    4. Sujan Sarker
    5. Sejuti Rahman
    6. Faisal Muhammad Shah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Research on CNN-based Models Optimized by Genetic Algorithm and Application in the Diagnosis of Pneumonia and COVID-19

    1. Zihan Zeng
    2. Bo Wang
    3. Zhiwen Zhao

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. A globally available COVID-19 – Template for clinical imaging studies

    1. G.A. Salg
    2. M.K. Ganten
    3. M. Baumhauer
    4. C.P. Heußel
    5. J. Kleesiek

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. A novel abnormality annotation database for COVID-19 affected frontal lung X-rays

    1. Surbhi Mittal
    2. Vasantha Kumar Venugopal
    3. Vikash Kumar Agarwal
    4. Manu Malhotra
    5. Jagneet Singh Chatha
    6. Savinay Kapur
    7. Ankur Gupta
    8. Vikas Batra
    9. Puspita Majumdar
    10. Aakarsh Malhotra
    11. Kartik Thakral
    12. Saheb Chhabra
    13. Mayank Vatsa
    14. Richa Singh
    15. Santanu Chaudhury

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. PRELIMINARY ASSESSMENT OF STRUCTURE AND COLLECTIVE DOSE FROM CT EXAMINATIONS RELATED TO COVID-19 DIAGNOSTICS IN THE RUSSIAN FEDERATION IN MARCH - JUNE 2020

    1. A.V. Vodovatov
    2. I.K. Romanovich
    3. O.A. Istorik
    4. L.A. Eremina
    5. S.P. Morozov
    6. S.A. Ryzhov
    7. G.V. Berkovich
    8. I.G. Kamyshanskaya
    9. G.E. Trufanov
    10. L.A. Chipiga
    11. P. S. Druzhinina
    12. A.M. Biblin
    13. R.R. Akhmatdinov
    14. I.V. Basek
    15. A.A. Karatetskiy
    16. D. V. Merkulov
    17. Yu.S. Ispravnikova
    18. V.V. Pritz
    19. N.S. Polishchuk
    20. A.N Mukhortova
    21. V.G. Pyzyrev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Diagnosis of COVID-19 using CT scan images and deep learning techniques

    1. Vruddhi Shah
    2. Rinkal Keniya
    3. Akanksha Shridharani
    4. Manav Punjabi
    5. Jainam Shah
    6. Ninad Mehendale

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

    1. Matthew D. Li
    2. Nishanth T. Arun
    3. Mehak Aggarwal
    4. Sharut Gupta
    5. Praveer Singh
    6. Brent P. Little
    7. Dexter P. Mendoza
    8. Gustavo C.A. Corradi
    9. Marcelo S. Takahashi
    10. Suely F. Ferraciolli
    11. Marc D. Succi
    12. Min Lang
    13. Bernardo C. Bizzo
    14. Ittai Dayan
    15. Felipe C. Kitamura
    16. Jayashree Kalpathy-Cramer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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