IRIS
Mento, Federico
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 1146
EU - Europa 235
AS - Asia 13
AF - Africa 2
Continente sconosciuto - Info sul continente non disponibili 1
OC - Oceania 1
SA - Sud America 1
Totale 1399
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 1139
IT - Italia 131
SE - Svezia 54
BG - Bulgaria 24
GB - Regno Unito 7
CA - Canada 6
FI - Finlandia 4
IN - India 4
UA - Ucraina 4
DE - Germania 3
DZ - Algeria 2
HK - Hong Kong 2
JO - Giordania 2
PL - Polonia 2
AR - Argentina 1
AT - Austria 1
AU - Australia 1
BD - Bangladesh 1
BE - Belgio 1
EU - Europa 1
FR - Francia 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 1399
Salva come PNG Salva come JPEG
Città #
Chandler 327
Ann Arbor 133
Fairfield 109
Princeton 72
San Mateo 56
Ashburn 43
Woodbridge 40
Seattle 39
Cambridge 38
Wilmington 38
Houston 32
Trento 29
Sofia 24
San Diego 19
Norwalk 7
Andover 6
London 6
Toronto 6
Falls Church 5
Lawrence 5
Rome 5
Fremont 4
Helsinki 4
Albuquerque 3
Jacksonville 3
Redwood City 3
Segrate 3
Verona 3
Bremen 2
Capannori 2
Central District 2
Cesano Boscone 2
Clearwater 2
Dallas 2
Huddinge 2
Pescara 2
Relizane 2
Serra 2
Algund 1
Barzanò 1
Bellante 1
Bozen 1
Candia 1
Capaccio 1
Cascina 1
Como 1
Den Haag 1
Hanoi 1
Hunedoara 1
Kuala Lumpur 1
Laion 1
Landshut 1
Lenno 1
Levallois-perret 1
Melbourne 1
Monreale 1
Monticelli 1
Nettuno 1
Pistoia 1
Podenzana 1
Rovereto 1
Sabbioneta 1
San Francisco 1
Santa Cristina Val Gardena 1
Silandro 1
Torino 1
Torre Del Greco 1
Vicenza 1
Vienna 1
Villafranca Tirrena 1
Warsaw 1
Totale 1115
Salva come PNG Salva come JPEG
Nome #
Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound 114
Automatic Pleural Line Extraction and COVID-19 Scoring from Lung Ultrasound Data 108
Proposal for international standardization of the use of lung ultrasound for COVID-19 patients; a simple, quantitative, reproducible method 71
Time for a new international evidence-based recommendations for point-of-care lung ultrasound 67
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning 66
Automated segmentation and scoring of lung ultrasound images of COVID-19 patients 65
On the Impact of Different Lung Ultrasound Imaging Protocols in the Evaluation of Patients Affected by Coronavirus Disease 2019: How Many Acquisitions Are Needed? 56
On Lung Ultrasound Patterns Specificity in the Management of COVID-19 Patients 50
Is there a role for lung ultrasound during the COVID-19 pandemic? 48
Lung Ultrasound for COVID-19 Patchy Pneumonia: Extended or Limited Evaluations? 48
On the influence of imaging parameters on lung ultrasound B-line artifacts, in vitro study 47
Differentiation of Pulmonary Fibrosis by Means of Quantitative Lung Ultrasound Spectroscopy, First Clinical Study in Humans 46
The impact of B-lines' frequency characterization on lung ultrasound imaging, in vitro- and in vivo study 44
Effect of Imaging Parameters on the Visualization of Lung Ultrasound B-line Artifacts 40
Agreement between expert sonographers and artificial intelligence in the evaluation of lung ultrasound data acquired from COVID-19 patients 39
Numerical study on lung ultrasound B-line formation as a function of imaging frequency and alveolar geometries 36
LUS for COVID‐19 Pneumonia: Flexible or Reproducible Approach? 35
Lung ultrasound and high-resolution CT-scan of the chest for COVID-19 pneumonia 34
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients' condition 34
Quantitative Lung Ultrasound Spectroscopy applied to the Diagnosis of Pulmonary Fibrosis: first clinical study 32
Integrating Domain Knowledge into Deep Networks for Lung Ultrasound with Applications to COVID-19 30
There is a Validated Acquisition Protocol for Lung Ultrasonography in COVID-19 Pneumonia 28
Point of Care Image Analysis for COVID-19 28
A Multicenter Study Assessing Artificial Intelligence Capability in Scoring Lung Ultrasound Videos of COVID-19 Patients 24
Impact of Frequency, Bandwidth, Focus, and Angle of Incidence on Lung Ultrasound Vertical Artifacts' Intensity, in-vitro Study 24
Deep learning applied to lung ultrasound videos for scoring COVID-19 patients: A multicenter study 22
Dependence of lung ultrasound vertical artifacts on frequency, bandwidth, focus and angle of incidence: An in vitro study 22
Lung Ultrasound in COVID-19 and Post-COVID-19 Patients, an Evidence-Based Approach 21
Ultrasound waves propagation in aerated inhomogeneous media 19
Investigating the link between intensity of lung ultrasound vertical artifacts and penetration depth of ultrasound waves, in silico study 17
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 16
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 16
Deep Learning-based Classification of Reduced Lung Ultrasound Data from COVID-19 Patients 15
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 15
Development of Lung Ultrasound Quantitative Approaches and Automatic Semi-Quantitative Strategies: In Silico, In Vitro, and Clinical Studies 14
On the impact of pixel resolution on automated scoring of lung ultrasound images from coronavirus disease 2019 patients 14
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images 13
Human‐to‐AI Interrater Agreement for Lung Ultrasound Scoring in COVID‐19 Patients 13
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees 10
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients 7
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data 4
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses 2
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 1
Multi-Frequency Approach to Estimate the Roughness of Lung Surface, in silico Study 1
Automatically Scoring Lung Ultrasound Videos of COVID-19 and post-COVID-19 Patients 1
Iterative Deconvolution Approach for Automatic Segmentation of Lung Ultrasound Vertical Artifacts 1
Totale 1458
Salva come PNG Salva come JPEG
Categoria #
all - tutte 4321
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 4321
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202023 0000 00 00 4982
2020/2021420 18413016 2587 542 23556810
2021/2022430 1550111 6225 8110 19432363
2022/2023585 65441374 92119 480 94000
Totale 1458