Radiology and Imaging

  1. Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study

    1. Ghufran Aref Saeed
    2. Abeer Ahmed Al Helali
    3. Asad Shah
    4. Safaa Almazrouei
    5. Luai A. Ahmed

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays

    1. Prashant Sadashiv Gidde
    2. Shyam Sunder Prasad
    3. Ajay Pratap Singh
    4. Nitin Bhatheja
    5. Satyartha Prakash
    6. Prateek Singh
    7. Aakash Saboo
    8. Rohit Takhar
    9. Salil Gupta
    10. Sumeet Saurav
    11. Raghunandanan M. V.
    12. Amritpal Singh
    13. Viren Sardana
    14. Harsh Mahajan
    15. Arjun Kalyanpur
    16. Atanendu Shekhar Mandal
    17. Vidur Mahajan
    18. Anurag Agrawal
    19. Anjali Agrawal
    20. Vasantha Kumar Venugopal
    21. Sanjay Singh
    22. Debasis Dash

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Staging and typing of chest CT images: A quantitative analysis based on an ambispective observational cohort study of 125 patients with COVID-19 in Xiangyang, China

    1. Guoxin Huang
    2. Yong Wang
    3. Xiaxia Wu
    4. Gaojing Qu
    5. Junwen Chen
    6. Hui Yu
    7. Meiling Zhang
    8. Lisha Wang
    9. Jinwei Ai
    10. Haoming Zhu
    11. Lei Chen
    12. Bin Pei

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. AI for radiographic COVID-19 detection selects shortcuts over signal

    1. Alex J. DeGrave
    2. Joseph D. Janizek
    3. Su-In Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Efficient Deep Network Architecture for COVID-19 Detection Using Computed Tomography Images

    1. Chirag Goel
    2. Abhimanyu Kumar
    3. Satish Kumar Dubey
    4. Vishal Srivastava

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Supervised Image Classification Algorithm Using Representative Spatial Texture Features: Application to COVID-19 Diagnosis Using CT Images

    1. Zehor Belkhatir
    2. Raúl San José Estépar
    3. Allen R. Tannenbaum

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study

    1. Tatsuyoshi Ikenoue
    2. Yuki Kataoka
    3. Yoshinori Matsuoka
    4. Junichi Matsumoto
    5. Junji Kumasawa
    6. Kentaro Tochitatni
    7. Hiraku Funakoshi
    8. Tomohiro Hosoda
    9. Aiko Kugimiya
    10. Michinori Shirano
    11. Fumiko Hamabe
    12. Sachiyo Iwata
    13. Shingo Fukuma
    14. Japan COVID-19 AI team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem

    1. Beatriz Garcia Santa Cruz
    2. Matías Nicolás Bossa
    3. Jan Sölter
    4. Andreas Dominik Husch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Voxel-level forecast system for lesion development in patients with COVID-19

    1. Cheng Jin
    2. Yongjie Duan
    3. Yukun Cao
    4. Jinyang Yu
    5. Zhanwei Xu
    6. Weixiang Chen
    7. Xiaoyu Han
    8. Jia Liu
    9. Jie Zhou
    10. Heshui Shi
    11. Jianjiang Feng

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Transfer Learning for COVID-19 Pneumonia Detection and Classification in Chest X-ray Images

    1. Iason Katsamenis
    2. Eftychios Protopapadakis
    3. Athanasios Voulodimos
    4. Anastasios Doulamis
    5. Nikolaos Doulamis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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