Mento, Federico
 Distribuzione geografica
Continente #
NA - Nord America 1.402
EU - Europa 371
AS - Asia 39
AF - Africa 3
Continente sconosciuto - Info sul continente non disponibili 1
OC - Oceania 1
SA - Sud America 1
Totale 1.818
Nazione #
US - Stati Uniti d'America 1.393
IT - Italia 197
SE - Svezia 54
GB - Regno Unito 42
BG - Bulgaria 24
FI - Finlandia 20
SG - Singapore 15
DE - Germania 13
IN - India 11
CA - Canada 8
BE - Belgio 4
UA - Ucraina 4
DZ - Algeria 3
FR - Francia 3
CN - Cina 2
CZ - Repubblica Ceca 2
GR - Grecia 2
HK - Hong Kong 2
JO - Giordania 2
PL - Polonia 2
TW - Taiwan 2
AR - Argentina 1
AT - Austria 1
AU - Australia 1
BD - Bangladesh 1
EU - Europa 1
MX - Messico 1
MY - Malesia 1
NL - Olanda 1
NO - Norvegia 1
RO - Romania 1
SA - Arabia Saudita 1
TR - Turchia 1
VN - Vietnam 1
Totale 1.818
Città #
Chandler 327
Ann Arbor 133
Fairfield 109
Ashburn 103
Princeton 72
San Mateo 56
Trento 45
New York 42
Woodbridge 40
Seattle 39
Cambridge 38
Wilmington 38
Houston 32
Sofia 24
Helsinki 19
San Diego 19
London 16
Povo 12
Washington 11
Norwalk 7
Rome 7
Andover 6
Kilburn 6
Pune 6
Toronto 6
Falls Church 5
Lawrence 5
Verona 5
Fremont 4
Osimo 4
Rovereto 4
Albuquerque 3
Brussels 3
Hounslow 3
Jacksonville 3
New Bedfont 3
Prescot 3
Redwood City 3
Segrate 3
Acton 2
Arezzo 2
Boardman 2
Bonndorf 2
Bremen 2
Brno 2
Cagliari 2
Capannori 2
Central District 2
Cesano Boscone 2
Chiswick 2
Clearwater 2
Dallas 2
Giarre 2
Huddinge 2
Kalamaria 2
Naples 2
Pescara 2
Relizane 2
Roe Volciano 2
Serra 2
Taipei 2
Verdellino 2
Villanuova sul Clisi 2
Algund 1
Barzanò 1
Bellante 1
Berlin 1
Bozen 1
Candia 1
Capaccio 1
Cascina 1
Codogno 1
Como 1
Den Haag 1
Giessen 1
Hanoi 1
Hunedoara 1
Kuala Lumpur 1
Laion 1
Landshut 1
Lappeenranta 1
Leeds 1
Lenno 1
Levallois-perret 1
Melbourne 1
Monreale 1
Monticelli 1
Munich 1
Nakusp 1
Nettuno 1
Osnago 1
Paris 1
Pisa 1
Pistoia 1
Podenzana 1
Rozzano 1
Sabbioneta 1
San Francisco 1
Santa Cristina Val Gardena 1
Silandro 1
Totale 1.349
Nome #
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound 127
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 124
Proposal for international standardization of the use of lung ultrasound for COVID-19 patients; a simple, quantitative, reproducible method 75
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning 75
Automated segmentation and scoring of lung ultrasound images of COVID-19 patients 74
Time for a new international evidence-based recommendations for point-of-care lung ultrasound 73
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? 66
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations? 56
On Lung Ultrasound Patterns Specificity in the Management of COVID-19 Patients 55
Differentiation of Pulmonary Fibrosis by Means of Quantitative Lung Ultrasound Spectroscopy, First Clinical Study in Humans 55
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro study 54
Effect of Imaging Parameters on the Visualization of Lung Ultrasound B-line Artifacts 51
The impact of B-lines' frequency characterization on lung ultrasound imaging, in vitro- and in vivo study 51
Is there a role for lung ultrasound during the COVID-19 pandemic? 50
Agreement between expert sonographers and artificial intelligence in the evaluation of lung ultrasound data acquired from COVID-19 patients 47
Lung ultrasound and high-resolution CT-scan of the chest for COVID-19 pneumonia 42
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries 41
A Multicenter Study Assessing Artificial Intelligence Capability in Scoring Lung Ultrasound Videos of COVID-19 Patients 41
LUS for COVID‐19 Pneumonia: Flexible or Reproducible Approach? 39
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients' condition 39
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 39
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 38
Quantitative Lung Ultrasound Spectroscopy applied to the Diagnosis of Pulmonary Fibrosis: first clinical study 37
Point of Care Image Analysis for COVID-19 35
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach 34
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 33
There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia 32
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 32
Deep Learning-based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients 27
Investigating the link between intensity of lung ultrasound vertical artifacts and penetration depth of ultrasound waves, in silico study 27
Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies 26
A standardised and evidenced-based lung ultrasound acquisition protocol and scoring system for the monitoring and stratification of COVID-19 and post-COVID-19 patients 25
Quantitative lung ultrasound spectroscopy, an in vivo clinical study conducted over 101 patients 23
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 23
On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients 22
Human‐to‐AI Interrater Agreement for Lung Ultrasound Scoring in COVID‐19 Patients 20
Multicenter Study on Lung Ultrasound COVID-19 and Post-COVID-19 Patients and On the Impact of Pixel Resolution on Automated Scoringof Lung Ultrasound Images From COVID-19 Patients 20
Ultrasound waves propagation in aerated inhomogeneous media 19
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images 19
Ultrasound multifrequency strategy applied to the estimation of lung surface roughness 18
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees 17
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 15
Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression 12
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level 11
Ultrasound Multifrequency Strategy To Estimate the Lung Surface Roughness, In Silico and In Vitro Results 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 7
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 7
Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients 6
Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts 6
Multi-Frequency Approach to Estimate the Roughness of Lung Surface, in silico Study 4
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses 4
Estimation of Lung Surface Roughness by Means of an Ultrasound Multifrequency Approach, in silico and in vitro results 4
Differential Diagnosis of Lung Disease through Quantitative Lung Ultrasound Spectroscopy, an in vivo clinical study over 114 patients 3
Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting 3
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression 2
Oversample minority classes in Lung Ultrasound using Generative Adversarial Network 1
Totale 1.894
Categoria #
all - tutte 13.141
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 13.141


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202023 0 0 0 0 0 0 0 0 4 9 8 2
2020/2021420 18 41 30 16 25 87 5 42 23 55 68 10
2021/2022430 15 50 1 11 62 25 8 110 19 43 23 63
2022/2023698 65 44 13 74 92 119 4 80 102 12 66 27
2023/2024323 27 35 42 20 61 91 23 24 0 0 0 0
Totale 1.894