Federico Mento

According to our database, Federico Mento authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound data.

Chiara Zangrandi, Federico Mento, Mattia Perpenti, Giovanni Pierro, Alessandro Perrotta, Tiziano Perrone, Andrea Smargiassi, Riccardo Inchingolo, Libertario Demi

Comput. Biol. Medicine, 2026

Corrigendum to "Fully automated quantitative lung ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study" [Comput. Biol. Med. (200), 1 January 2026, 111365].

Mattia Perpenti, Federico Mento, Giovanni Pierro, Alessandro Perrotta, Tiziano Perrone, Andrea Smargiassi, Riccardo Inchingolo, Libertario Demi

Comput. Biol. Medicine, 2026

Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study.

Mattia Perpenti, Federico Mento, Giovanni Pierro, Alessandro Perrotta, Tiziano Perrone, Andrea Smargiassi, Riccardo Inchingolo, Libertario Demi

Comput. Biol. Medicine, 2026

2025

Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoring.

Hamed Jalilian, Sajjad Afrakhteh, Federico Mento, Emanuela Zannin, Camilla Rigotti, Federico Cattaneo, Giulia Dognini, Maria Luisa Ventura, Libertario Demi

Comput. Biol. Medicine, 2025

2024

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, February, 2024

2023

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., January, 2023

2022

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, Shai Bagon

IEEE Trans. Medical Imaging, 2022

2021

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, Eyal Sela, Amiel A. Dror, Mordehay Vaturi, Federico Mento, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Tiziano Perrone, Libertario Demi, Meirav Galun, Shai Bagon, Yishai M. Elyada, Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

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, Giovanni Maschietto, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Paolo Rota, Andrea Passerini, Ruud J. G. van Sloun, Elisa Ricci, Libertario Demi

IEEE Trans. Medical Imaging, 2020