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 | 136 | 2020 |
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 | 50 | 2019 |
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 | 34 | 2019 |
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 | 31 | 2021 |
Quantitative analysis of cervical texture by ultrasound in mid‐pregnancy and association with spontaneous preterm birth N Banos, A Perez‐Moreno, C Julia, C Murillo‐Bravo, D Coronado, ... Ultrasound in Obstetrics & Gynecology 51 (5), 637-643, 2018 | 31 | 2018 |
FETAL_PLANES_DB: common maternal-fetal ultrasound images XP Burgos-Artizzu, D Coronado-Gutierrez, B Valenzuela-Alcaraz, ... Nat. Sci. Rep 19, 10200, 2020 | 18 | 2020 |
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 | 12 | 2021 |
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 | 10 | 2021 |
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 | 4 | 2022 |
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 | 3 | 2021 |
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 | 2 | 2023 |
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 | 2 | 2022 |
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 | 2 | 2022 |
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 | 2 | 2022 |
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 |