This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2175) Decision Support for Health Professionals (774) Imaging Informatics (150) Machine Learning (1059) Outbreak and Pandemic Preparedness and Management (1496) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1361)

Published on in Vol 22 , No 6 (2020) :June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19569, first published .
COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation

Authors of this article:

Hoon Ko 1 Author Orcid Image ;   Heewon Chung 1 Author Orcid Image ;   Wu Seong Kang 2 Author Orcid Image ;   Kyung Won Kim 3 Author Orcid Image ;   Youngbin Shin 3 Author Orcid Image ;   Seung Ji Kang 4 Author Orcid Image ;   Jae Hoon Lee 5 Author Orcid Image ;   Young Jun Kim 5 Author Orcid Image ;   Nan Yeol Kim 2 Author Orcid Image ;   Hyunseok Jung 6 Author Orcid Image ;   Jinseok Lee 1 Author Orcid Image
Article Authors Cited by (145) Tweetations (32) Metrics

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  113. Mano L, Torres A, Morales A, Cruz C, Cardoso F, Alves S, Faria C, Lanzillotti R, Cerceau R, da Costa R, Figueiredo K, Werneck V. Machine Learning Applied to COVID-19: A Review of the Initial Pandemic Period. International Journal of Computational Intelligence Systems 2023;16(1) View
  114. Yamada A, Kamagata K, Hirata K, Ito R, Nakaura T, Ueda D, Fujita S, Fushimi Y, Fujima N, Matsui Y, Tatsugami F, Nozaki T, Fujioka T, Yanagawa M, Tsuboyama T, Kawamura M, Naganawa S. Clinical applications of artificial intelligence in liver imaging. La radiologia medica 2023 View

Books/Policy Documents

  1. Sugiura A. Bio-information for Hygiene. View
  2. Jayashree R. Understanding COVID-19: The Role of Computational Intelligence. View
  3. Tintín V, Florez H. Computational Science and Its Applications – ICCSA 2021. View
  4. Zaeri N. Simulation Modeling. View
  5. Gope B, Kohar R. Proceedings of Data Analytics and Management. View
  6. Escobar-Linero E, Muñoz-Saavedra L, Luna-Perejón F, Civit-Masot J, Rivas-Pérez M, Domínguez-Morales M, Balcells A. Recent Advancements in Smart Remote Patient Monitoring, Wearable Devices, and Diagnostics Systems. View
  7. Alquzi S, Alhichri H, Bazi Y. International Conference on Innovative Computing and Communications. View
  8. Kishore C, Pemula R, Vijaya Kumar S, Rao K, Chandra Sekhar S. Soft Computing: Theories and Applications. View
  9. Gurcan O, Atici U, Bicer M, Dogan O. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. View
  10. Imanov E, Lakshitha Liyanagamage V. 15th International Conference on Applications of Fuzzy Systems, Soft Computing and Artificial Intelligence Tools – ICAFS-2022. View
  11. Gunturu L, Dornadula G. Emerging Technologies During the Era of COVID-19 Pandemic. View
  12. Swapnarekha H, Behera H, Nayak J, Naik B. Computational Intelligence in Pattern Recognition. View
  13. Gunturu L, Dornadula G. Computational Intelligence for COVID-19 and Future Pandemics. View
  14. Grönvall E, Lundberg S. Pervasive Computing Technologies for Healthcare. View
  15. Hazela B, Khalid S, Asthana P. Medical Imaging and Health Informatics. View