Eixarch, Elisenda

Fetal growth restriction results in remodeled and less efficient hearts in children

Crispi, F., Bijnens, B., Figueras, F., Bartrons, J., Eixarch, E., Le Noble, F., Ahmed, A., & Gratacós, E. (2010) · Circulation

Birth, Development, and HealthPregnancy and preeclampsia studies

Cited by 435

Diagnosis and surveillance of late-onset fetal growth restriction

Figueras, F., Caradeux, J., Crispi, F., Eixarch, E., Peguero, A., & Gratacos, E. (2018) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 300

Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes

Burgos-Artizzu, X. P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B., Bonet-Carne, E., Eixarch, E., Crispi, F., & Gratacós, E. (2020) · Scientific Reports

Artificial Intelligence in Healthcare and EducationAdvanced Neural Network Applications

Cited by 240

Maternal psychosocial stress during pregnancy alters the epigenetic signature of the glucocorticoid receptor gene promoter in their offspring: A meta-analysis

Palma-Gudiel, H., Córdova-Palomera, A., Eixarch, E., Deuschle, M., & Fañanás, L. (2015) · Epigenetics

Birth, Development, and HealthEpigenetics and DNA Methylation

Cited by 240

Small-for-gestational-age fetuses with normal umbilical artery Doppler have suboptimal perinatal and neurodevelopmental outcome

Figueras, F., Eixarch, E., Meler, E., Iraola, A., Figueras, J., Puerto, B., & Gratacos, E. (2008) · European Journal of Obstetrics & Gynecology and Reproductive Biology

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 121

Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects

Torrents-Barrena, J., Piella, G., Masoller, N., Gratacós, E., Eixarch, E., Ceresa, M., & Ballester, M. Á. G. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 97

Stress symptoms and burnout in obstetric and gynaecology residents

Castelo‐Branco, C., Figueras, F., Eixarch, E., Quereda, F., Cancelo, M., González, S., & Balasch, J. (2007) · BJOG: An International Journal of Obstetrics & Gynaecology

Healthcare professionals’ stress and burnoutStress and Burnout Research

Cited by 94

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Sendra-Balcells, C., Campello, V. M., Torrents-Barrena, J., Ahmed, Y. A., Elattar, M., Ohene-Botwe, B., Nyangulu, P., Stones, W., Ammar, M., Benamer, L. N., et al. (2023) · Scientific Reports

Artificial Intelligence in Healthcare and EducationDomain Adaptation and Few-Shot Learning

Cited by 57

Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound

Torrents-Barrena, J., Monill, N., Piella, G., Gratacós, E., Eixarch, E., Ceresa, M., & González Ballester, M. A. (2021) · Academic Radiology

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 42

Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age

Burgos-Artizzu, X. P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B., Vellvé, K., Eixarch, E., Crispi, F., Bonet-Carne, E., Bennasar, M., & Gratacos, E. (2021) · American Journal of Obstetrics & Gynecology MFM

Artificial Intelligence in Healthcare and EducationPrenatal Screening and Diagnostics

Cited by 39

Ten‐year experience of protocol‐based management of small‐for‐gestational‐age fetuses: perinatal outcome in late‐pregnancy cases diagnosed after 32 weeks

Meler, E., Mazarico, E., Eixarch, E., Gonzalez, A., Peguero, A., Martinez, J., Boada, D., Vellvé, K., Gomez‐Roig, M. D., Gratacós, E., et al. (2021) · Ultrasound in Obstetrics & Gynecology

Pregnancy and preeclampsia studiesBirth, Development, and Health

Cited by 36

TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery

Torrents-Barrena, J., López-Velazco, R., Piella, G., Masoller, N., Valenzuela-Alcaraz, B., Gratacós, E., Eixarch, E., Ceresa, M., & Ángel González Ballester, M. (2019) · Computer Methods and Programs in Biomedicine

Surgical Simulation and TrainingAnatomy and Medical Technology

Cited by 25

Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery

Torrents-Barrena, J., Piella, G., Masoller, N., Gratacos, E., Eixarch, E., Ceresa, M., & Ballester, M. A. G. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 9