Federico Mento

About Federico Mento

Federico Mento, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Università degli Studi di Trento, specializes in the field of Lung Ultrasound, Medical Imaging, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression

Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from covid-19 patients: From frame to prognostic-level

Human‐to‐Ai interrater agreement for lung ultrasound scoring in COVID‐19 Patients

Quantitative lung ultrasound spectroscopy, an in vivo clinical study conducted over 101 patients

Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression

Ultrasound multifrequency strategy applied to the estimation of lung surface roughness

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees

Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro results

Federico Mento Information

University

Position

PhD student Ultrasound Lab Trento (ULTRa)

Citations(all)

2363

Citations(since 2020)

2355

Cited By

781

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Federico Mento Skills & Research Interests

Lung Ultrasound

Medical Imaging

Signal Processing

Top articles of Federico Mento

Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression

Computers in Biology and Medicine

2024/2/1

Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from covid-19 patients: From frame to prognostic-level

Ultrasonics

2023/7/1

Human‐to‐Ai interrater agreement for lung ultrasound scoring in COVID‐19 Patients

Journal of Ultrasound in Medicine

2023/4

Federico Mento
Federico Mento

H-Index: 8

Quantitative lung ultrasound spectroscopy, an in vivo clinical study conducted over 101 patients

The Journal of the Acoustical Society of America

2023/3/1

Federico Mento
Federico Mento

H-Index: 8

Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression

The Journal of the Acoustical Society of America

2023/3/1

Ultrasound multifrequency strategy applied to the estimation of lung surface roughness

The Journal of the Acoustical Society of America

2023/3/1

Federico Mento
Federico Mento

H-Index: 8

Matteo Perini
Matteo Perini

H-Index: 3

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees

Applied Soft Computing

2023/1/1

Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro results

Ultrasonics

2023/12/1

Federico Mento
Federico Mento

H-Index: 8

Matteo Perini
Matteo Perini

H-Index: 3

Estimation of Lung Surface Roughness by Means of an Ultrasound Multifrequency Approach, in silico and in vitro results

2023/9/3

Federico Mento
Federico Mento

H-Index: 8

Matteo Perini
Matteo Perini

H-Index: 3

Oversample minority classes in Lung Ultrasound using Generative Adversarial Network

2023/9/3

Federico Mento
Federico Mento

H-Index: 8

Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting

2023/9/3

Differential Diagnosis of Lung Disease through Quantitative Lung Ultrasound Spectroscopy, an in vivo clinical study over 114 patients

2023/9/3

Federico Mento
Federico Mento

H-Index: 8

State of the art in lung ultrasound, shifting from qualitative to quantitative analyses

2022/12/1

Federico Mento
Federico Mento

H-Index: 8

Umair Khan
Umair Khan

H-Index: 4

Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies

2022/11/2

Federico Mento
Federico Mento

H-Index: 8

Automatic scoring of covid-19 lus videos using cross-correlation-based features aggregated from frame-level confidence levels obtained by a pre-trained deep neural network

2022/10/10

Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts

2022/10/10

Federico Mento
Federico Mento

H-Index: 8

Multi-frequency approach to estimate the roughness of lung surface, in silico study

2022/10/10

Federico Mento
Federico Mento

H-Index: 8

Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients

2022/10/10

Federico Mento
Federico Mento

H-Index: 8

Lung ultrasound in COVID‐19 and post‐COVID‐19 patients, an evidence‐based approach

Journal of Ultrasound in Medicine

2022/9

Federico Mento
Federico Mento

H-Index: 8

Marco Robol
Marco Robol

H-Index: 3

Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients

Proceedings of Meetings on Acoustics

2022/5/23

Umair Khan
Umair Khan

H-Index: 4

Federico Mento
Federico Mento

H-Index: 8

See List of Professors in Federico Mento University(Università degli Studi di Trento)