2 papers
physics.med-ph2026
Adversarial robustness of a U-Net-based model observer for CT protocol optimization
Filippo Maria Balli, Giorgia Stendardo, Sandra Doria +6
Artificial intelligence is increasingly used in medical imaging, yet its robustness to input perturbations remains a critical concern for a wide clinical adoption. To this end, we…
eess.IV2020
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study
Paolo Soda, Natascha Claudia D'Amico, Jacopo Tessadori +25
Recent epidemiological data report that worldwide more than 53 million people have been infected by SARS-CoV-2, resulting in 1.3 million deaths. The disease has been spreading very…