IRIS
Mento, Federico
 Distribuzione geografica
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Continente #
NA - Nord America 3.632
AS - Asia 1.793
EU - Europa 1.434
SA - Sud America 293
AF - Africa 38
OC - Oceania 4
Continente sconosciuto - Info sul continente non disponibili 1
Totale 7.195
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Nazione #
US - Stati Uniti d'America 3.555
SG - Singapore 784
IT - Italia 618
CN - Cina 334
VN - Vietnam 242
BR - Brasile 237
RU - Federazione Russa 192
KR - Corea 107
FR - Francia 87
GB - Regno Unito 79
SE - Svezia 71
BD - Bangladesh 70
DE - Germania 67
IN - India 65
FI - Finlandia 64
LV - Lettonia 64
NL - Olanda 58
HK - Hong Kong 55
CA - Canada 44
IE - Irlanda 38
BG - Bulgaria 24
MX - Messico 22
AR - Argentina 17
TR - Turchia 16
AT - Austria 15
ID - Indonesia 15
IQ - Iraq 15
JP - Giappone 15
PL - Polonia 14
TW - Taiwan 13
ES - Italia 12
CL - Cile 11
PK - Pakistan 9
ZA - Sudafrica 9
AE - Emirati Arabi Uniti 8
EC - Ecuador 8
UA - Ucraina 8
EG - Egitto 7
SA - Arabia Saudita 7
JO - Giordania 6
KE - Kenya 6
PE - Perù 6
PH - Filippine 6
CH - Svizzera 5
DZ - Algeria 5
DK - Danimarca 4
NP - Nepal 4
OM - Oman 4
UY - Uruguay 4
AU - Australia 3
CZ - Repubblica Ceca 3
GR - Grecia 3
MA - Marocco 3
MY - Malesia 3
PY - Paraguay 3
TH - Thailandia 3
UZ - Uzbekistan 3
VE - Venezuela 3
AZ - Azerbaigian 2
BE - Belgio 2
CI - Costa d'Avorio 2
CO - Colombia 2
CR - Costa Rica 2
GT - Guatemala 2
GY - Guiana 2
JM - Giamaica 2
KW - Kuwait 2
RO - Romania 2
BB - Barbados 1
CG - Congo 1
DO - Repubblica Dominicana 1
ET - Etiopia 1
EU - Europa 1
GA - Gabon 1
GE - Georgia 1
HN - Honduras 1
HR - Croazia 1
IL - Israele 1
KZ - Kazakistan 1
LB - Libano 1
LK - Sri Lanka 1
LT - Lituania 1
LY - Libia 1
NO - Norvegia 1
NZ - Nuova Zelanda 1
PA - Panama 1
PT - Portogallo 1
SN - Senegal 1
TG - Togo 1
VG - Isole Vergini Britanniche 1
Totale 7.195
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Città #
Dallas 615
Singapore 481
Ashburn 341
Chandler 327
San Jose 256
Santa Clara 138
Ann Arbor 133
Trento 133
Rome 124
Fairfield 109
Columbus 108
Seoul 102
Los Angeles 81
New York 80
Beijing 77
Ho Chi Minh City 76
Princeton 72
Moscow 71
Riga 64
Council Bluffs 57
Hanoi 57
Lauterbourg 56
San Mateo 56
Hong Kong 45
Seattle 44
Helsinki 43
Houston 41
Woodbridge 40
The Dalles 39
Cambridge 38
Milan 38
Wilmington 38
Dublin 37
Amsterdam 34
Atlanta 33
Chicago 33
Orem 29
Buffalo 28
Boardman 24
London 24
Sofia 24
San Diego 20
Salt Lake City 19
Munich 18
Toronto 18
São Paulo 16
Chennai 15
Lappeenranta 14
Redondo Beach 13
Verona 13
Warsaw 13
Da Nang 12
Povo 12
Taipei 12
Tokyo 12
Brooklyn 11
Rio de Janeiro 11
Stockholm 11
Washington 11
Frankfurt am Main 10
Mexico City 10
Montreal 10
Nuremberg 10
San Francisco 10
Tampa 10
Falkenstein 9
Haiphong 9
Miano 9
Phoenix 9
Villaricca 9
Boston 8
Brescia 8
Guangzhou 8
Jakarta 8
Vienna 8
Hefei 7
Manchester 7
Mumbai 7
Norwalk 7
Pune 7
Abu Dhabi 6
Andover 6
Ankara 6
Baghdad 6
Denver 6
Kilburn 6
Providencia 6
Shenzhen 6
Turku 6
Xingtai 6
Curitiba 5
Falls Church 5
Johannesburg 5
Lawrence 5
Nairobi 5
Naples 5
Paris 5
Shanghai 5
Xi'an 5
Amman 4
Totale 4.786
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Nome #
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound 376
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 252
Synthetic Lung Ultrasound Data Generation Using Autoencoder with Generative Adversarial Network 170
Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: an in vivo multicenter clinical study 167
Oversample minority classes in Lung Ultrasound using Generative Adversarial Network 152
A Multicenter Study Assessing Artificial Intelligence Capability in Scoring Lung Ultrasound Videos of COVID-19 Patients 151
Differential Diagnosis of Lung Disease through Quantitative Lung Ultrasound Spectroscopy, an in vivo clinical study over 114 patients 149
Automated segmentation and scoring of lung ultrasound images of COVID-19 patients 146
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning 145
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach 143
Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies 135
Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID-19 135
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 134
Quantitative Lung Ultrasound Spectroscopy applied to the Diagnosis of Pulmonary Fibrosis: first clinical study 133
Time for a new international evidence-based recommendations for point-of-care lung ultrasound 130
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 129
Deep Learning-Based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients 125
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level 124
Application of Tensor Completion for Reducing the Beamforming Time in Ultrafast Ultrasound Imaging: A Doppler Ultrasound Assessment 124
On Lung Ultrasound Patterns Specificity in the Management of COVID-19 Patients 120
Is there a role for lung ultrasound during the COVID-19 pandemic? 119
Differentiation of Pulmonary Fibrosis by Means of Quantitative Lung Ultrasound Spectroscopy, First Clinical Study in Humans 118
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations? 117
Agreement between expert sonographers and artificial intelligence in the evaluation of lung ultrasound data acquired from COVID-19 patients 117
A Novel Empirical Wavelet Transform Approach for Classification of Radiofrequency Lung Ultrasound Signals Applied to Diagnosis of Lung Diseases 116
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression 114
On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients 114
Quantitative Lung Ultrasound Spectroscopy Classification Performance in Differentiating CPE, Pneumonia, and PF, a Comparative Classifiers’ Analysis 111
Estimation of Lung Surface Roughness by Means of an Ultrasound Multifrequency Approach, in silico and in vitro results 109
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 109
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? 109
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees 108
Lung ultrasound and high-resolution CT-scan of the chest for COVID-19 pneumonia 108
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 105
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 103
There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia 102
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro study 100
Point of Care Image Analysis for COVID-19 100
The impact of B-lines' frequency characterization on lung ultrasound imaging, in vitro- and in vivo study 99
Effect of Imaging Parameters on the Visualization of Lung Ultrasound B-line Artifacts 98
Quantitative lung ultrasound spectroscopy, an in vivo clinical study conducted over 101 patients 95
Alveolar Geometry Estimation Through Quantitative Lung Ultrasound Spectroscopy, Phantom Study with Monodisperse Vs Polydisperse Microbubble Populations 95
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients' condition 95
Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression 93
LUS for COVID‐19 Pneumonia: Flexible or Reproducible Approach? 93
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 92
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries 91
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 91
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 88
Human‐to‐AI Interrater Agreement for Lung Ultrasound Scoring in COVID‐19 Patients 87
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses 83
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 79
Ultrasound multifrequency strategy applied to the estimation of lung surface roughness 78
Investigating the link between intensity of lung ultrasound vertical artifacts and penetration depth of ultrasound waves, in silico study 77
Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting 76
Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients 72
Ultrasound Multifrequency Strategy To Estimate the Lung Surface Roughness, In Silico and In Vitro Results 69
Novel Quantitative Lung Ultrasound Spectroscopy Approach for Diseases Classification 68
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images 68
Ultrasound waves propagation in aerated inhomogeneous media 62
Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts 59
On the interception of the optimal imaging plane for pleural line scanning with automatic robot assisted lung ultrasound: An experimental study 57
Multi-Frequency Approach to Estimate the Roughness of Lung Surface, in silico Study 55
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 55
Novel Quantitative Lung Ultrasound Spectroscopy Approach to differentiate Acute Exacerbation of Pulmonary Fibrosis from Pulmonary Fibrosis – preliminary results from SAURON Study 40
Quantitative lung ultrasound spectroscopy: a novel approach to differentiate acute exacerbation due to pulmonary emphysema versus pulmonary fibrosis – preliminary results from SAURON Study 38
Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoring 36
Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study 30
4-Dimensional lung ultrasound imaging for lung surface motion estimation: an in vivo feasibility study 23
Corrigendum to “Fully automated quantitative lung ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study”(Computers in Biology and Medicine, (2026), 200, C, (111365), (S0010482525017196), 10.1016/j.compbiomed.2025.111365) 12
On the optimization of pleural line scanning through automatic robot assisted lung ultrasound, an experimental study 7
Quantitative Assessment of Pleural Sliding Velocity using Lung Ultrasound Spectroscopy: First Clinical Study on in-vivo Radio-Frequency Data 6
A first clinical study on the quantitative characterization of pleural sliding using multifrequency lung ultrasound in-vivo data 5
Real-time and automatic lung diagnostics by quantitative lung ultrasound spectroscopy, a multicenter study 5
Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound data 4
4-Dimensional lung ultrasound imaging for lung surface motion estimation: An in vivo feasibility study 4
Quantitative lung ultrasound spectroscopy: First comparison with gold standard computed tomography scan and standard lung ultrasound for diagnosis of pneumonia versus cardiogenic pulmonary edema 1
Quantitative Lung Ultrasound Biomarkers for Automatic Stratification of Idiopathic Pulmonary Fibrosis: an in-vivo study 1
Totale 7.406
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Categoria #
all - tutte 33.769
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 33.769
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202110 0 0 0 0 0 0 0 0 0 0 0 10
2021/2022430 15 50 1 11 62 25 8 110 19 43 23 63
2022/2023693 65 44 13 74 92 119 4 80 101 12 63 26
2023/2024399 27 35 42 19 60 91 23 30 1 22 9 40
2024/20251.285 26 5 88 167 75 162 52 62 157 250 142 99
2025/20264.156 274 422 731 425 386 224 535 104 402 274 198 181
Totale 7.406