Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data. - Enzo Tartaglione; Carlo Alberto Barbano; Claudio Berzovini; Marco Calandri; Marco Grangetto (CoRR, 2020)

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. - Mohammadreza Amirian; Javier A. Montoya-Zegarra; Jonathan Gruss; Yves D. Stebler; Ahmet Selman Bozkir; Marco Calandri; Friedhelm Schwenker; Thilo Stadelmann (CISP-BMEI, 2021)

TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks. - Carmelo Pino; Giuseppe Vecchio; Marco Fronda; Marco Calandri; Marco Aldinucci; Concetto Spampinato (EMBC, 2021)

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images. - Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto (CoRR, 2021)

A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images. - Carlo Alberto Barbano; Enzo Tartaglione; Claudio Berzovini; Marco Calandri; Marco Grangetto (ICIAP (1), 2022)