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Elisenda Bonet-Carne

Showing results (1-10 of 24) with videos related to

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Sensors (Basel, Switzerland)|December 10, 2021
Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane ClassificationAlberto Montero, Elisenda Bonet-Carne, Xavier Paolo Burgos-Artizzu
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 1, 2018
Clinical Feasibility of Quantitative Ultrasound Texture Analysis: A Robustness Study Using Fetal Lung Ultrasound ImagesAlvaro Perez-Moreno, Mara Dominguez, Federico Migliorelli, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 5, 2011
Correlation between a semiautomated method based on ultrasound texture analysis and standard ultrasound diagnosis using white matter damage in preterm neonates as a modelVioleta Tenorio, Elisenda Bonet-Carne, Francesc Botet, et al.
Ultrasound in Medicine & Biology|July 16, 2014
Correlation of quantitative texture analysis of cranial ultrasound with later neurobehavior in preterm infantsVioleta Tenorio, Elisenda Bonet-Carne, Francesc Figueras, et al.
Fetal Diagnosis and Therapy|August 11, 2016
Quantitative Analysis of the Cervical Texture by Ultrasound and Correlation with Gestational AgeNúria Baños, Alvaro Perez-Moreno, Federico Migliorelli, et al.
Plos One|August 8, 2013
Automatic quantitative MRI texture analysis in small-for-gestational-age fetuses discriminates abnormal neonatal neurobehaviorMagdalena Sanz-Cortes, Giuseppe A Ratta, Francesc Figueras, et al.
Scientific Reports|June 25, 2020
Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planesXavier P Burgos-Artizzu, David Coronado-Gutiérrez, Brenda Valenzuela-Alcaraz, et al.
Fetal Diagnosis and Therapy|April 28, 2012
Feasibility and reproducibility of fetal lung texture analysis by Automatic Quantitative Ultrasound Analysis and correlation with gestational ageTeresa Cobo, Elisenda Bonet-Carne, Mónica Martínez-Terrón, et al.
Fetal Diagnosis and Therapy|August 13, 2023
Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound ImagesDavid Coronado-Gutiérrez, Elisenda Eixarch, Elena Monterde, et al.
American Journal of Obstetrics & Gynecology MFM|August 17, 2021
Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational ageXavier P Burgos-Artizzu, David Coronado-Gutiérrez, Brenda Valenzuela-Alcaraz, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Sensors (Basel, Switzerland)|December 10, 2021
Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane ClassificationAlberto Montero, Elisenda Bonet-Carne, Xavier Paolo Burgos-Artizzu
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 1, 2018
Clinical Feasibility of Quantitative Ultrasound Texture Analysis: A Robustness Study Using Fetal Lung Ultrasound ImagesAlvaro Perez-Moreno, Mara Dominguez, Federico Migliorelli, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 5, 2011
Correlation between a semiautomated method based on ultrasound texture analysis and standard ultrasound diagnosis using white matter damage in preterm neonates as a modelVioleta Tenorio, Elisenda Bonet-Carne, Francesc Botet, et al.
Ultrasound in Medicine & Biology|July 16, 2014
Correlation of quantitative texture analysis of cranial ultrasound with later neurobehavior in preterm infantsVioleta Tenorio, Elisenda Bonet-Carne, Francesc Figueras, et al.
Fetal Diagnosis and Therapy|August 11, 2016
Quantitative Analysis of the Cervical Texture by Ultrasound and Correlation with Gestational AgeNúria Baños, Alvaro Perez-Moreno, Federico Migliorelli, et al.
Plos One|August 8, 2013
Automatic quantitative MRI texture analysis in small-for-gestational-age fetuses discriminates abnormal neonatal neurobehaviorMagdalena Sanz-Cortes, Giuseppe A Ratta, Francesc Figueras, et al.
Scientific Reports|June 25, 2020
Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planesXavier P Burgos-Artizzu, David Coronado-Gutiérrez, Brenda Valenzuela-Alcaraz, et al.
Fetal Diagnosis and Therapy|April 28, 2012
Feasibility and reproducibility of fetal lung texture analysis by Automatic Quantitative Ultrasound Analysis and correlation with gestational ageTeresa Cobo, Elisenda Bonet-Carne, Mónica Martínez-Terrón, et al.
Fetal Diagnosis and Therapy|August 13, 2023
Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound ImagesDavid Coronado-Gutiérrez, Elisenda Eixarch, Elena Monterde, et al.
American Journal of Obstetrics & Gynecology MFM|August 17, 2021
Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational ageXavier P Burgos-Artizzu, David Coronado-Gutiérrez, Brenda Valenzuela-Alcaraz, et al.
Pageof 3