Sergio Martinez-Sanchez
Barcelona, CT, Spain
Last Updated: 09/26/2026
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Found 15 publications
Machine learning applied to echocardiographic deformation curves for prediction of heart failure and cardiovascular death.
Journal: International journal of cardiology
Published: December 24, 2025
AI-enabled workflow for automated classification and analysis of feto-placental Doppler images.
Journal: Frontiers in digital health
Published: July 03, 2024
Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country.
Journal: BMJ global health
Published: April 30, 2024
Labour monitoring and decision support: a machine-learning-based paradigm.
Journal: Frontiers in global women's health
Published: January 10, 2024
Acute fetal cardiovascular adaptation to artificial placenta in sheep model.
Journal: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology
Published: November 08, 2022
Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging.
Journal: Frontiers in cardiovascular medicine
Published: August 27, 2021
Machine-learning-based exploration to identify remodeling patterns associated with death or heart-transplant in pediatric-dilated cardiomyopathy.
Journal: The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Published: July 06, 2021
Automated Pattern Recognition in Whole-Cardiac Cycle Echocardiographic Data: Capturing Functional Phenotypes with Machine Learning.
Journal: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Published: February 01, 2021
Machine Learning in Fetal Cardiology: What to Expect.
Journal: Fetal diagnosis and therapy
Published: August 21, 2019
Analysis of nonstandardized stress echocardiography sequences using multiview dimensionality reduction.
Journal: Medical image analysis
Published: January 14, 2019
Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy.
Journal: European journal of heart failure
Published: May 30, 2018
Last Updated: 09/26/2026