Search Results for author: Marco Calandri

Found 3 papers, 1 papers with code

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis

no code implementations19 Aug 2022 Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann

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. for image-based diagnosis.

COVID-19 Diagnosis

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images

no code implementations25 Jan 2021 Carlo Alberto Barbano, Enzo Tartaglione, Claudio Berzovini, Marco Calandri, Marco Grangetto

Early screening of patients is a critical issue in order to assess immediate and fast responses against the spread of COVID-19.

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data

9 code implementations11 Apr 2020 Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, Marco Grangetto

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 community.

Small Data Image Classification Transfer Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.