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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 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), 10200, 2020
1152020
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), 1950, 2019
462019
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
332019
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
312018
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
242021
FETAL_PLANES_DB: common maternal-fetal ultrasound images
XP Burgos-Artizzu, D Coronado-Gutierrez, B Valenzuela-Alcaraz, ...
Nat. Sci. Rep 19, 10200, 2020
132020
Glaucoma patient screening from online retinal fundus images via Artificial Intelligence
P Franco, D Coronado-Gutierrez, C Lopez, XP Burgos-Artizzu
medRxiv, 2021.02. 11.21251193, 2021
112021
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), 7469, 2021
82021
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
42022
Skin cancer high-risk patient screening from dermoscopic images via Artificial Intelligence: An online study
D Coronado-Gutiérrez, C López, XP Burgos-Artizzu
Medrxiv, 2021.02. 04.21251132, 2021
32021
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
22022
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), 9016, 2022
22022
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
Automatic deep learning-based pipeline for automatic delineation and measurement of fetal brain structures in routine mid-trimester ultrasound images
D Coronado-Gutiérrez, E Eixarch, E Monterde, I Matas, P Traversi, ...
Fetal diagnosis and therapy 50 (6), 480-490, 2023
12023
Deep Learning Application to Detect Glaucoma with a Mixed Training Approach: Public Database and Expert-Labeled Glaucoma Population
F Cellini, D Caamaño, B Carrasco, JR Juberías, C Ossa, R Bringas, ...
Ophthalmic Research 66 (1), 1278-1285, 2023
2023
Prediction and location of malignant nodules and microcalcifications in mammography via Deep Learning
D Coronado-Gutiérrez, P Franco, C López
medRxiv, 2022.10. 11.22280939, 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, 2019
2019
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Articles 1–20