Marios Constantinou

ORCID: 0000-0002-3113-5341
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About
Contact & Profiles
Research Areas
  • COVID-19 diagnosis using AI
  • Radiomics and Machine Learning in Medical Imaging
  • Radiology practices and education
  • COVID-19 Clinical Research Studies

University of Cyprus
2025

Ionian University
2022-2023

Since December 2019, the coronavirus disease has significantly affected millions of people. Given effect this on pulmonary systems humans, there is a need for chest radiographic imaging (CXR) monitoring and preventing further deaths. Several studies have been shown that Deep Learning models can achieve promising results COVID-19 diagnosis towards CXR perspective. In study, five deep learning were analyzed evaluated with aim identifying from X-ray images. The scope study to highlight...

10.3390/ijerph20032035 article EN International Journal of Environmental Research and Public Health 2023-01-22

Coronavirus disease since December 2019 has significantly affected millions of people. Given the effect this on pulmonary systems humans, there is a need for chest radiographic imaging (CXR) monitoring and preventing further deaths. Several studies have been shown that Deep Learning models can achieve promising results COVID-19 diagnosis towards CXR perspective. However, research field at an initial stage limited number large repositories regarding COVID-19. In study, five deep learning were...

10.20944/preprints202211.0515.v1 preprint EN 2022-11-28
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