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David Coronado-Gutierrez
David Coronado-Gutierrez
Researcher in Fetal Medicine Research Center
Verified email at alumnes.ub.edu
Title
Cited by
Cited by
Year
Evaluation of an improved tool for non-invasive prediction of neonatal respiratory morbidity based on fully automated fetal lung ultrasound analysis
XP Burgos-Artizzu, Á Perez-Moreno, D Coronado-Gutierrez, E Gratacos, ...
Scientific reports 9 (1), 1-7, 2019
302019
Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes
XP Burgos-Artizzu, D Coronado-Gutiérrez, B Valenzuela-Alcaraz, ...
Scientific Reports 10 (1), 1-12, 2020
262020
Quantitative Ultrasound Image Analysis of Axillary Lymph Nodes to Diagnose Metastatic Involvement in Breast Cancer
D Coronado-Gutiérrez, G Santamaría, S Ganau, X Bargalló, S Orlando, ...
Ultrasound in medicine & biology 45 (11), 2932-2941, 2019
202019
Quantitative analysis of cervical texture by ultrasound in mid‐pregnancy and association with spontaneous preterm birth
N Baños, A Perez‐Moreno, C Julià, C Murillo‐Bravo, D Coronado, ...
Ultrasound in Obstetrics & Gynecology 51 (5), 637-643, 2018
192018
Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age
XP Burgos-Artizzu, D Coronado-Gutiérrez, B Valenzuela-Alcaraz, ...
American Journal of Obstetrics & Gynecology MFM 3 (6), 100462, 2021
32021
Glaucoma patient screening from online retinal fundus images via Artificial Intelligence
P Franco, D Coronado-Gutierrez, C Lopez, XP Burgos-Artizzu
medRxiv, 2021
32021
Intra-and interobserver reproducibility of second trimester ultrasound cervical length measurement in a general population
N Baños, XP Burgos-Artizzu, B Valenzuela-Alcaraz, ...
The Journal of Maternal-Fetal & Neonatal Medicine 35 (5), 999-1002, 2022
22022
Mid-trimester prediction of spontaneous preterm birth with automated cervical quantitative ultrasound texture analysis and cervical length: a prospective study
XP Burgos-Artizzu, N Baños, D Coronado-Gutiérrez, J Ponce, ...
Scientific Reports 11 (1), 1-7, 2021
22021
Concordance of the risk of neonatal respiratory morbidity assessed by quantitative ultrasound lung texture analysis in fetuses of twin pregnancies
AL Moreno-Espinosa, A Hawkins-Villarreal, XP Burgos-Artizzu, ...
Scientific Reports 12 (1), 1-9, 2022
12022
Skin cancer high-risk patient screening from dermoscopic images via Artificial Intelligence: An online study
D Coronado-Gutiérrez, C López, XP Burgos-Artizzu
Medrxiv, 2021
12021
Quantitative ultrasound image analysis of axillary lymph nodes to differentiate malignancy from reactive benign changes due to COVID-19 vaccination
D Coronado-Gutiérrez, S Ganau, X Bargalló, B Úbeda, M Porta, ...
European Journal of Radiology 154, 110438, 2022
2022
Prediction of Neonatal Respiratory Morbidity Assessed by Quantitative Ultrasound Lung Texture Analysis in Twin Pregnancies
AL Moreno-Espinosa, A Hawkins-Villarreal, D Coronado-Gutierrez, ...
Journal of clinical medicine 11 (16), 4895, 2022
2022
VP44. 07: Risk of neonatal respiratory morbidity by QuantusFLM® in twin versus singleton pregnancies
AL Moreno‐Espinosa, AM Hawkins‐Villarreal, XP Burgos‐Artizuu, ...
Ultrasound in Obstetrics & Gynecology 56, 252-253, 2020
2020
VP44. 06: Agreement on the risk of neonatal respiratory morbidity by QuantusFLM® in fetuses of twin pregnancies
AL Moreno‐Espinosa, AM Hawkins‐Villarreal, XP Burgos‐Artizuu, ...
Ultrasound in Obstetrics & Gynecology 56, 252-252, 2020
2020
VP25. 02: Automatic classification of fetal axial brain planes from ultrasound images via deep learning
D Coronado‐Gutierrez, XP Burgos‐Artizuu, E Monterde, E Eixarch, ...
Ultrasound in Obstetrics & Gynecology 56, 162-162, 2020
2020
OP01. 09: Automatic classification of fetal ultrasound images: a remarkable application of deep learning technology for fetal medicine
XP Burgos‐Artizuu, E Eixarch, D Coronado‐Gutierrez, B Valenzuela, ...
Ultrasound in Obstetrics & Gynecology 54, 86-87, 2019
2019
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