8 citations · 9 across the 2 of their papers we have counts for
3 papers
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss +5
With the spread of COVID-19 over the world, the need arose for fast and precise automatic triage mechanisms to decelerate the spread of the disease by reducing human efforts e.g. f…
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images
Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini +2
Early screening of patients is a critical issue in order to assess immediate and fast responses against the spread of COVID-19. The use of nasopharyngeal swabs has been considered…
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini +2
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI commun…