Esther Puyol‐Antón

1.2k citations

40 papers · 481 indexed · h-index 12

Radiology, Nuclear Medicine and Imaging top 5%
Cardiology and Cardiovascular Medicine top 10%
Biomedical Engineering
Artificial Intelligence
Health Informatics top 2%

Co-authors: Andrew P. King Bram Ruijsink Reza Razavi Matthew Sinclair Julia A. Schnabel Wenjia Bai İlkay Öksüz Christopher A. Rinaldi
Topics: Cardiac Imaging and Diagnostics (12 papers)Cardiovascular Function and Risk Factors (12 papers)Advanced MRI Techniques and Applications (11 papers)
Cited by: Health Informatics Radiology, Nuclear Medicine and Imaging Cardiology and Cardiovascular Medicine
Journals: Hypertension European Heart Journal IEEE Transactions on Biomedical Engineering
Partner nations: United Kingdom Netherlands France

In The Last Decade

Esther Puyol‐Antón

39 papers receiving 478 citations

Peers

Countries citing papers authored by Esther Puyol‐Antón

Since Specialization

Citations

This map shows the geographic impact of Esther Puyol‐Antón's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Esther Puyol‐Antón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Esther Puyol‐Antón more than expected).

Fields of papers citing papers by Esther Puyol‐Antón

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esther Puyol‐Antón. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Esther Puyol‐Antón. The network helps show where Esther Puyol‐Antón may publish in the future.

Co-authorship network of co-authors of Esther Puyol‐Antón

This figure shows the co-authorship network connecting the top 25 collaborators of Esther Puyol‐Antón. A scholar is included among the top collaborators of Esther Puyol‐Antón based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Esther Puyol‐Antón. Esther Puyol‐Antón is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Older biological age of the cardiovascular system predicts adverse clinical outcome independently of chronological age 2025 ·Journal of Cardiovascular Magnetic Resonance ·Pier Giorgio Masci,(unknown),Esther Puyol‐Antón,(unknown),Phil Chowienczyk,(unknown),Alistair A. Young,Amedeo Chiribiri,Claire J. Steves,Reza Razavi,Valentina Lorenzoni,Andrew P. King	1
2	An investigation into the causes of race bias in artificial intelligence–based cine cardiac magnetic resonance segmentation 2025 ·European Heart Journal - Digital Health ·(unknown),Esther Puyol‐Antón,Bram Ruijsink,Sébastien Roujol,(unknown),(unknown),Miaojing Shi,Andrew P. King	2
3	Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images 2023 ·Medical Image Analysis ·(unknown),Chen Chen,Baldeep S. Sidhu,Bram Ruijsink,Justin Gould,Bradley Porter,Mark K. Elliott,Vishal Mehta,Christopher A. Rinaldi,Esther Puyol‐Antón,Reza Razavi,Andrew P. King	9
4	Hemodynamic Determinants of Elevated Blood Pressure and Hypertension in the Middle to Older-Age UK Population: A UK Biobank Imaging Study 2023 ·Hypertension ·Ye Li,Emily Chan,Esther Puyol‐Antón,Bram Ruijsink,Marina Cecelja,Andrew P. King,Reza Razavi,Phil Chowienczyk	1
5	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis 2023 ·IEEE Transactions on Biomedical Engineering ·(unknown),Esther Puyol‐Antón,Kerstin Hammernik,Gastão Cruz,(unknown),(unknown),İlkay Öksüz,Bram Ruijsink,Miguel Castelo‐Branco,Alistair A. Young,Claudia Prieto,Julia A. Schnabel,Andrew P. King	3
6	An artificial intelligence tool for automated analysis of large-scale unstructured clinical cine cardiac magnetic resonance databases 2023 ·European Heart Journal - Digital Health ·Jorge Mariscal Harana,(unknown),Vittoria Vergani,(unknown),Louise Keehn,Raymond J. Kim,Robert M. Judd,Steffen E. Petersen,Reza Razavi,Andrew P. King,Bram Ruijsink,Esther Puyol‐Antón	8
7	A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot 2023 ·Journal of Cardiovascular Magnetic Resonance ·(unknown),(unknown),(unknown),(unknown),Esther Puyol‐Antón,Kuberan Pushparajah,Sanjeet Hegde,James C. Perry,Jeffrey H. Omens,Albert Hsiao,Alistair A. Young,Andrew D. McCulloch	8
8	Prevalence and Disease Expression of Pathogenic and Likely Pathogenic Variants Associated With Inherited Cardiomyopathies in the General Population 2022 ·Circulation Genomic and Precision Medicine ·(unknown),Marion van Vugt,(unknown),Bram Ruijsink,Jessica van Setten,Amand F. Schmidt,Dennis Dooijes,Esther Puyol‐Antón,Birgitta K. Velthuis,J. Peter van Tintelen,(unknown),Annette F. Baas,Folkert W. Asselbergs	34
9	Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank 2022 ·Journal of the American Heart Association ·Marina Cecelja,Bram Ruijsink,Esther Puyol‐Antón,Ye Li,(unknown),Andrew P. King,Reza Razavi,Phil Chowienczyk	11
10	A multimodal deep learning model for cardiac resynchronisation therapy response prediction 2022 ·Medical Image Analysis ·Esther Puyol‐Antón,Baldeep S. Sidhu,Justin Gould,Bradley Porter,Mark K. Elliott,Vishal Mehta,Christopher A. Rinaldi,Andrew P. King	27
11	Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation 2022 ·Frontiers in Cardiovascular Medicine ·Esther Puyol‐Antón,Bram Ruijsink,Jorge Mariscal Harana,Stefan K. Piechnik,Stefan Neubauer,Steffen E. Petersen,Reza Razavi,Phil Chowienczyk,Andrew P. King	40
12	Beyond Simpson's Rule: Accounting for Orientation and Ellipticity Assumptions 2022 ·Ultrasound in Medicine & Biology ·(unknown),Arian Beqiri,Adam J. Lewandowski,Esther Puyol‐Antón,(unknown),Andrew P. King,Paul Leeson,Pablo Lamata	2
13	Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming? 2022 ·Frontiers in Cardiovascular Medicine ·(unknown),Esther Puyol‐Antón,Amedeo Chiribiri,René M. Botnar,Kuberan Pushparajah,Claudia Prieto	30
14	The Role of AI in Characterizing the DCM Phenotype 2021 ·Frontiers in Cardiovascular Medicine ·(unknown),Esther Puyol‐Antón,(unknown),Bram Ruijsink,Amedeo Chiribiri,Reza Razavi,Gerry Carr‐White	8
15	Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report 2021 ·Frontiers in Cardiovascular Medicine ·Vittoria Vergani,Reza Razavi,Esther Puyol‐Antón,Bram Ruijsink	9
16	Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics–AI Approach 2021 ·Frontiers in Physiology ·(unknown),Karli Gillette,Esther Puyol‐Antón,Ronak Rajani,Gernot Plank,Andrew P. King,Martin J. Bishop	12
17	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction 2020 ·Lecture notes in computer science ·Esther Puyol‐Antón,Chen Chen,James R. Clough,Bram Ruijsink,Baldeep S. Sidhu,Justin Gould,Bradley Porter,(unknown),Vishal Mehta,Daniel Rueckert,Christopher A. Rinaldi,Andrew P. King	16
18	Fully Automated, Quality-Controlled Cardiac Analysis From CMR 2019 ·JACC. Cardiovascular imaging ·Bram Ruijsink,Esther Puyol‐Antón,İlkay Öksüz,Matthew Sinclair,Wenjia Bai,Julia A. Schnabel,Reza Razavi,Andrew P. King	104
19	Automatic left ventricular outflow tract classification for accurate cardiac MR planning 2018 ·İlkay Öksüz,Bram Ruijsink,Esther Puyol‐Antón,Matthew Sinclair,Daniel Rueckert,Julia A. Schnabel,Andrew P. King	3
20	Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients 2017 ·Medical Image Analysis ·(unknown),Devis Peressutti,Esther Puyol‐Antón,Wenjia Bai,(unknown),Jessica Webb,Simon Claridge,Tom Jackson,David Nordsletten,Myrianthi Hadjicharalambous,Eric Kerfoot,Christopher A. Rinaldi,Daniel Rueckert,Andrew P. King	6

About Esther Puyol‐Antón

Esther Puyol‐Antón is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 40 papers that have together received 481 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (12 papers) and Advanced MRI Techniques and Applications (11 papers). The work is most often cited by research in Health Informatics (54 citations), Radiology, Nuclear Medicine and Imaging (262 citations) and Cardiology and Cardiovascular Medicine (247 citations). Esther Puyol‐Antón has collaborated with scholars based in United Kingdom, Netherlands and France. Frequent co-authors include Andrew P. King, Bram Ruijsink, Reza Razavi, Matthew Sinclair, Julia A. Schnabel, Wenjia Bai, İlkay Öksüz, Christopher A. Rinaldi, Hélène Langet and Mathieu De Craene. Their work appears in journals such as Hypertension, European Heart Journal and IEEE Transactions on Biomedical Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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