IRIS
Mento, Federico
 Distribuzione geografica
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Continente #
NA - Nord America 4.170
AS - Asia 1.831
EU - Europa 1.509
SA - Sud America 296
Continente sconosciuto - Info sul continente non disponibili 223
AF - Africa 39
OC - Oceania 4
Totale 8.072
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Nazione #
US - Stati Uniti d'America 4.070
SG - Singapore 790
IT - Italia 681
CN - Cina 343
VN - Vietnam 242
BR - Brasile 239
RU - Federazione Russa 192
KR - Corea 107
FR - Francia 87
BD - Bangladesh 85
GB - Regno Unito 82
SE - Svezia 71
IN - India 68
DE - Germania 67
FI - Finlandia 64
LV - Lettonia 64
NL - Olanda 60
HK - Hong Kong 58
CA - Canada 54
IE - Irlanda 40
BG - Bulgaria 24
MX - Messico 23
AR - Argentina 18
TR - Turchia 18
AT - Austria 15
ID - Indonesia 15
IQ - Iraq 15
JP - Giappone 15
PL - Polonia 15
TW - Taiwan 13
ES - Italia 12
CL - Cile 11
PK - Pakistan 9
ZA - Sudafrica 9
AE - Emirati Arabi Uniti 8
EC - Ecuador 8
EG - Egitto 8
UA - Ucraina 8
JM - Giamaica 7
SA - Arabia Saudita 7
JO - Giordania 6
KE - Kenya 6
PE - Perù 6
PH - Filippine 6
CH - Svizzera 5
DZ - Algeria 5
BE - Belgio 4
CR - Costa Rica 4
DK - Danimarca 4
NP - Nepal 4
OM - Oman 4
UY - Uruguay 4
AU - Australia 3
CZ - Repubblica Ceca 3
GR - Grecia 3
GT - Guatemala 3
MA - Marocco 3
MY - Malesia 3
PY - Paraguay 3
TH - Thailandia 3
UZ - Uzbekistan 3
VE - Venezuela 3
AZ - Azerbaigian 2
CI - Costa d'Avorio 2
CO - Colombia 2
GY - Guiana 2
HN - Honduras 2
KW - Kuwait 2
LT - Lituania 2
RO - Romania 2
BB - Barbados 1
BM - Bermuda 1
BS - Bahamas 1
BY - Bielorussia 1
CG - Congo 1
CW - ???statistics.table.value.countryCode.CW??? 1
DO - Repubblica Dominicana 1
ET - Etiopia 1
EU - Europa 1
GA - Gabon 1
GE - Georgia 1
HR - Croazia 1
IL - Israele 1
KZ - Kazakistan 1
LB - Libano 1
LK - Sri Lanka 1
LY - Libia 1
NO - Norvegia 1
NZ - Nuova Zelanda 1
PA - Panama 1
PT - Portogallo 1
SN - Senegal 1
SV - El Salvador 1
TG - Togo 1
VG - Isole Vergini Britanniche 1
Totale 7.851
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Città #
Dallas 618
Singapore 486
Ashburn 365
Chandler 327
San Jose 265
Trento 157
Santa Clara 153
Columbus 144
Ann Arbor 133
Rome 128
Council Bluffs 118
Fairfield 109
Seoul 102
New York 91
Los Angeles 85
Beijing 81
Ho Chi Minh City 76
Princeton 72
Moscow 71
Riga 64
Hanoi 57
Lauterbourg 56
San Mateo 56
Milan 51
The Dalles 51
Hong Kong 48
Atlanta 45
Seattle 44
Helsinki 43
Houston 42
Wilmington 40
Woodbridge 40
Dublin 39
Cambridge 38
Amsterdam 34
Chicago 34
Orem 30
Buffalo 28
London 26
Boardman 24
Sofia 24
San Diego 20
Salt Lake City 19
Munich 18
Toronto 18
Verona 17
São Paulo 16
Brooklyn 15
Chennai 15
Lappeenranta 14
Warsaw 14
Redondo Beach 13
Washington 13
Da Nang 12
Montreal 12
Povo 12
Taipei 12
Tokyo 12
Rio de Janeiro 11
Stockholm 11
Tampa 11
Frankfurt am Main 10
Mexico City 10
Nuremberg 10
Phoenix 10
San Francisco 10
Boston 9
Falkenstein 9
Haiphong 9
Miano 9
Mumbai 9
Villaricca 9
Brescia 8
Guangzhou 8
Jakarta 8
Vienna 8
Hefei 7
Manchester 7
Norwalk 7
Pune 7
Shanghai 7
Abu Dhabi 6
Andover 6
Ankara 6
Baghdad 6
Denver 6
Kilburn 6
Memphis 6
Providencia 6
Shenzhen 6
Turku 6
Xingtai 6
Cagliari 5
Cairo 5
Curitiba 5
Falls Church 5
Johannesburg 5
Lawrence 5
Nairobi 5
Naples 5
Totale 5.057
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Nome #
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound 390
Point of Care Image Analysis for COVID-19 269
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 253
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 203
Synthetic Lung Ultrasound Data Generation Using Autoencoder with Generative Adversarial Network 176
Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: an in vivo multicenter clinical study 171
Oversample minority classes in Lung Ultrasound using Generative Adversarial Network 158
A Multicenter Study Assessing Artificial Intelligence Capability in Scoring Lung Ultrasound Videos of COVID-19 Patients 155
Differential Diagnosis of Lung Disease through Quantitative Lung Ultrasound Spectroscopy, an in vivo clinical study over 114 patients 152
Automated segmentation and scoring of lung ultrasound images of COVID-19 patients 148
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach 148
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning 147
Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies 143
Proposal for International Standardization of the Use of Lung Ultrasound for Patients With COVID-19 140
Quantitative Lung Ultrasound Spectroscopy applied to the Diagnosis of Pulmonary Fibrosis: first clinical study 136
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 135
Low-complexity lung ultrasound video scoring by means of intensity projection-based video compression 132
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level 132
Application of Tensor Completion for Reducing the Beamforming Time in Ultrafast Ultrasound Imaging: A Doppler Ultrasound Assessment 132
Time for a new international evidence-based recommendations for point-of-care lung ultrasound 132
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 130
Deep Learning-Based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients 129
Is there a role for lung ultrasound during the COVID-19 pandemic? 124
A Novel Empirical Wavelet Transform Approach for Classification of Radiofrequency Lung Ultrasound Signals Applied to Diagnosis of Lung Diseases 122
On Lung Ultrasound Patterns Specificity in the Management of COVID-19 Patients 122
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations? 121
Differentiation of Pulmonary Fibrosis by Means of Quantitative Lung Ultrasound Spectroscopy, First Clinical Study in Humans 119
Agreement between expert sonographers and artificial intelligence in the evaluation of lung ultrasound data acquired from COVID-19 patients 119
On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients 116
Quantitative Lung Ultrasound Spectroscopy Classification Performance in Differentiating CPE, Pneumonia, and PF, a Comparative Classifiers’ Analysis 115
Estimation of Lung Surface Roughness by Means of an Ultrasound Multifrequency Approach, in silico and in vitro results 113
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees 111
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? 111
Lung ultrasound and high-resolution CT-scan of the chest for COVID-19 pneumonia 110
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 110
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 107
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro study 103
The impact of B-lines' frequency characterization on lung ultrasound imaging, in vitro- and in vivo study 103
There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia 103
Quantitative lung ultrasound spectroscopy, an in vivo clinical study conducted over 101 patients 100
Effect of Imaging Parameters on the Visualization of Lung Ultrasound B-line Artifacts 100
Coronavirus disease 2019 patients prognostic stratification based on low complex lung ultrasound video compression 99
Alveolar Geometry Estimation Through Quantitative Lung Ultrasound Spectroscopy, Phantom Study with Monodisperse Vs Polydisperse Microbubble Populations 99
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients' condition 97
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 95
LUS for COVID‐19 Pneumonia: Flexible or Reproducible Approach? 94
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries 93
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 93
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 92
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 86
Ultrasound multifrequency strategy applied to the estimation of lung surface roughness 82
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 80
Lung ultrasound patterns analysis at video and prognostic level in a resource-constrained setting 78
Investigating the link between intensity of lung ultrasound vertical artifacts and penetration depth of ultrasound waves, in silico study 78
Novel Quantitative Lung Ultrasound Spectroscopy Approach for Diseases Classification 76
Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients 75
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images 74
Ultrasound Multifrequency Strategy To Estimate the Lung Surface Roughness, In Silico and In Vitro Results 70
Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts 65
Ultrasound waves propagation in aerated inhomogeneous media 64
On the interception of the optimal imaging plane for pleural line scanning with automatic robot assisted lung ultrasound: An experimental study 63
Multi-Frequency Approach to Estimate the Roughness of Lung Surface, in silico Study 59
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 58
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) 49
Novel Quantitative Lung Ultrasound Spectroscopy Approach to differentiate Acute Exacerbation of Pulmonary Fibrosis from Pulmonary Fibrosis – preliminary results from SAURON Study 46
Quantitative lung ultrasound spectroscopy: a novel approach to differentiate acute exacerbation due to pulmonary emphysema versus pulmonary fibrosis – preliminary results from SAURON Study 41
Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoring 40
Fully automated Quantitative Lung Ultrasound spectroscopy for the differential diagnosis of lung diseases: The first multicenter in-vivo clinical study 37
Quantitative lung ultrasound spectroscopy: First comparison with gold standard computed tomography scan and standard lung ultrasound for diagnosis of pneumonia versus cardiogenic pulmonary edema 31
4-Dimensional lung ultrasound imaging for lung surface motion estimation: an in vivo feasibility study 30
Quantitative Lung Ultrasound Biomarkers for Automatic Stratification of Idiopathic Pulmonary Fibrosis: an in-vivo study 18
Novel velocity model for the quantitative characterization of pleural sliding, in vivo multicenter clinical study on RF lung ultrasound data 13
4-Dimensional lung ultrasound imaging for lung surface motion estimation: An in vivo feasibility study 13
On the optimization of pleural line scanning through automatic robot assisted lung ultrasound, an experimental study 13
Quantitative Assessment of Pleural Sliding Velocity using Lung Ultrasound Spectroscopy: First Clinical Study on in-vivo Radio-Frequency Data 12
A first clinical study on the quantitative characterization of pleural sliding using multifrequency lung ultrasound in-vivo data 11
Real-time and automatic lung diagnostics by quantitative lung ultrasound spectroscopy, a multicenter study 10
Impact of media filling acoustic traps on the spectral characterization of lung ultrasound vertical artifacts, an experimental study 4
Multicenter clinical study on pleural sliding quantitative characterization by means of multifrequency lung ultrasound 3
Quantitative lung ultrasound spectroscopy versus computed tomography: A comparative study to differentiate pneumonia and cardiogenic pulmonary edema 3
Physics-informed vessel characterization and compliance scoring in ultrasound localization microscopy 1
Totale 8.072
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Categoria #
all - tutte 36.436
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 36.436
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/2022415 0 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
2025/20264.168 274 422 731 425 386 224 535 104 402 274 198 193
2026/2027654 260 394 0 0 0 0 0 0 0 0 0 0
Totale 8.072