Valerie Krug

ORCID: 0000-0002-4729-1840
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About
Contact & Profiles
Research Areas
  • COVID-19 diagnosis using AI
  • Digital Imaging for Blood Diseases
  • Data Visualization and Analytics
  • Neural dynamics and brain function
  • AI in cancer detection
  • Anomaly Detection Techniques and Applications
  • Artificial Intelligence in Healthcare and Education
  • Adversarial Robustness in Machine Learning
  • Cell Image Analysis Techniques
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning in Healthcare

Otto-von-Guericke University Magdeburg
2023-2024

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread, and challenged different sectors. One most effective ways to limit spread is early accurate diagnosing infected patients. Medical imaging, such as X-ray computed tomography (CT), combined potential artificial intelligence (AI), plays an essential role in supporting medical personnel diagnosis process. Thus, this article, five deep learning models (ResNet18, ResNet34, InceptionV3, InceptionResNetV2,...

10.3390/jimaging10020045 article EN cc-by Journal of Imaging 2024-02-08

The outbreak of COVID-19 has shocked the entire world with its fairly rapid spread and challenged different sectors. One most effective ways to limit is early accurate diagnosing infected patients. Medical imaging, such as X-ray Computed Tomography (CT), combined potential Artificial Intelligence (AI), plays an essential role in supporting medical personnel diagnosis process. Thus, this article five deep learning models (ResNet18, ResNet34, InceptionV3, InceptionResNetV2 DenseNet161) their...

10.48550/arxiv.2006.02570 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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