Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound. - Subhankar Roy; Willi Menapace; Sebastiaan Oei; Ben Luijten; Enrico Fini; Cristiano Saltori; Iris A. M. Huijben; Nishith Chennakeshava; Federico Mento; Alessandro Sentelli; Emanuele Peschiera; Riccardo Trevisan; et al. (IEEE Trans. Medical Imaging, 2020)

Point of Care Image Analysis for COVID-19. - Daniel Yaron; Daphna Keidar; Elisha Goldstein; Yair Shachar; Ayelet Blass; Oz Frank; Nir Schipper; Nogah Shabshin; Ahuva Grubstein; Dror Suhami; Naama R. Bogot; Chedva S. Weiss; et al. (ICASSP, 2021)

Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19. - Oz Frank; Nir Schipper; Mordehay Vaturi; Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Elena Torri; Tiziano Perrone; Federico Mento; Libertario Demi; Meirav Galun; Yonina C. Eldar; et al. (IEEE Trans. Medical Imaging, 2022)

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees. - Leonardo Lucio Custode; Federico Mento; Francesco Tursi; Andrea Smargiassi; Riccardo Inchingolo; Tiziano Perrone; Libertario Demi; Giovanni Iacca (Appl. Soft Comput., 2023)

Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression. - Umair Khan; Sajjad Afrakhteh; Federico Mento; Gizem Mert; Andrea Smargiassi; Riccardo Inchingolo; Francesco Tursi; Veronica Narvena Macioce; Tiziano Perrone; Giovanni Iacca; Libertario Demi (Comput. Biol. Medicine, 2024)