output
20202024
most citedUnveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

221 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

3 papers

eess.IV2024

Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

Daniele Perlo, Luca Berton, Alessia Delpiano +4

The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to corre…

eess.IV2021★ 8 cited

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…

eess.IV2020★ 221 cited

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…