Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Cristian Izquierdo

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

Pageof 1
Sort By:
Frontiers in Cardiovascular Medicine|October 11, 2021
New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR RadiomicsElisa Rauseo, Cristian Izquierdo Morcillo, Zahra Raisi-Estabragh, et al.
Frontiers in Cardiovascular Medicine|February 11, 2020
Image-Based Cardiac Diagnosis With Machine Learning: A ReviewCarlos Martin-Isla, Victor M Campello, Cristian Izquierdo, et al.
Frontiers in Cardiovascular Medicine|November 15, 2021
Radiomics-Based Classification of Left Ventricular Non-compaction, Hypertrophic Cardiomyopathy, and Dilated Cardiomyopathy in Cardiovascular Magnetic ResonanceCristian Izquierdo, Guillem Casas, Carlos Martin-Isla, et al.
European Heart Journal. Cardiovascular Imaging|March 7, 2020
Cardiac magnetic resonance radiomics: basic principles and clinical perspectivesZahra Raisi-Estabragh, Cristian Izquierdo, Victor M Campello, et al.
Scientific Reports|November 7, 2022
Atrial fibrillation prediction by combining ECG markers and CMR radiomicsEsmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, et al.
Scientific Reports|July 22, 2022
Minimising multi-centre radiomics variability through image normalisation: a pilot studyVíctor M Campello, Carlos Martín-Isla, Cristian Izquierdo, et al.
European Radiology|December 13, 2022
Prediction of incident cardiovascular events using machine learning and CMR radiomicsEsmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, et al.
BMJ Open|February 4, 2026
HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depressionKristi Priestley, Riddhi Laijawala, Katie Hazelgrove, et al.
IEEE Journal of Biomedical and Health Informatics|April 17, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms ChallengeCarlos Martin-Isla, Victor M Campello, Cristian Izquierdo, et al.
IEEE Transactions on Medical Imaging|June 17, 2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms ChallengeVictor M Campello, Polyxeni Gkontra, Cristian Izquierdo, et al.
Pageof 1

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

Sort By:
Pageof 1
Frontiers in Cardiovascular Medicine|October 11, 2021
New Imaging Signatures of Cardiac Alterations in Ischaemic Heart Disease and Cerebrovascular Disease Using CMR RadiomicsElisa Rauseo, Cristian Izquierdo Morcillo, Zahra Raisi-Estabragh, et al.
Frontiers in Cardiovascular Medicine|February 11, 2020
Image-Based Cardiac Diagnosis With Machine Learning: A ReviewCarlos Martin-Isla, Victor M Campello, Cristian Izquierdo, et al.
Frontiers in Cardiovascular Medicine|November 15, 2021
Radiomics-Based Classification of Left Ventricular Non-compaction, Hypertrophic Cardiomyopathy, and Dilated Cardiomyopathy in Cardiovascular Magnetic ResonanceCristian Izquierdo, Guillem Casas, Carlos Martin-Isla, et al.
European Heart Journal. Cardiovascular Imaging|March 7, 2020
Cardiac magnetic resonance radiomics: basic principles and clinical perspectivesZahra Raisi-Estabragh, Cristian Izquierdo, Victor M Campello, et al.
Scientific Reports|November 7, 2022
Atrial fibrillation prediction by combining ECG markers and CMR radiomicsEsmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, et al.
Scientific Reports|July 22, 2022
Minimising multi-centre radiomics variability through image normalisation: a pilot studyVíctor M Campello, Carlos Martín-Isla, Cristian Izquierdo, et al.
European Radiology|December 13, 2022
Prediction of incident cardiovascular events using machine learning and CMR radiomicsEsmeralda Ruiz Pujadas, Zahra Raisi-Estabragh, Liliana Szabo, et al.
BMJ Open|February 4, 2026
HappyMums mobile application study protocol: use of a smartphone application to gather data predictive of antenatal depressionKristi Priestley, Riddhi Laijawala, Katie Hazelgrove, et al.
IEEE Journal of Biomedical and Health Informatics|April 17, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms ChallengeCarlos Martin-Isla, Victor M Campello, Cristian Izquierdo, et al.
IEEE Transactions on Medical Imaging|June 17, 2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms ChallengeVictor M Campello, Polyxeni Gkontra, Cristian Izquierdo, et al.
Pageof 1