Isabel Benavente-Fernandez

Prof. Contratada Dr.

Universidad de Cádiz

Spain

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About

Isabel Benavente-Fernandez is a Prof. Contratada Dr. at Universidad de Cádiz, Spain. Her research areas include neonatal development, machine learning applications in clinical settings, and ultrasonographic imaging techniques for infants. She has authored several recent articles focusing on neurodevelopmental impairments in premature infants and innovative monitoring systems in neonatal intensive care units.

Articles (14)

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2021

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2021

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2021

Collaborators (7)

Yolanda Sánchez-Sandoval

Profesora Titular de Universidad

Universidad de Cádiz

SPAIN

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Alfonso Lechuga-Sancho

Universidad de Cádiz

SPAIN

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Lionel C. Gontard

SPAIN

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Blas Salvador Domínguez

Universidad de Cádiz

SPAIN

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Daniel Urda

Universidad de Burgos

SPAIN

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David Gomez Ullate

SPAIN

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Paula Méndez-Abad

Universidad de Cádiz

SPAIN

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Isabel Benavente-Fernandez

Research Interests

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About

Articles (14)

Evaluating Non-Invasive Computer Vision-Based Quantification of Neonatal Movement as a Marker of Development in Preterm Infants: A Pilot Study

Corpus callosum long-term biometry in very preterm children related to cognitive and motor outcomes

Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques

Nurses’ Perception of Caring and Attitudes toward Caring for Dying Patients: Exploring the Relationship Using a Descriptive Cross-Sectional Design

Assessment of the perception of vertical subjectivity in children born preterm

Ultrasonographic Estimation of Ventricular Volume in Infants Born Preterm with Posthemorrhagic Ventricular Dilatation: A Nested Substudy of the Randomized Controlled Early Versus Late Ventricular Intervention Study (ELVIS) Trial

Relationship of early brain growth pattern measured by ultrasound with neurological outcome at two years of age in very low birth weight infants

A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images

Gaussian processes for missing value imputation

NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units

NRP: A Multi-source, Heterogeneous, Automatic Data Collection System for Infants in Neonatal Intensive Care Units

Do Levels of Lipid Peroxidation Biomarkers Reflect the Degree of Brain Injury in Newborns?

Interaction between Preterm White Matter Injury and Childhood Thalamic Growth

Ultrasonographic Estimation of Total Brain Volume: 3D Reliability and 2D Estimation. Enabling Routine Estimation During NICU Admission in the Preterm Infant.

Collaborators (7)

Yolanda Sánchez-Sandoval

Alfonso Lechuga-Sancho

Lionel C. Gontard

Blas Salvador Domínguez

Daniel Urda

David Gomez Ullate

Paula Méndez-Abad

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