Esther Puyol‐Antón

1.2k total citations
40 papers, 481 citations indexed

About

Esther Puyol‐Antón is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Esther Puyol‐Antón has authored 40 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 20 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Biomedical Engineering. Recurrent topics in Esther Puyol‐Antón's work include Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (12 papers) and Advanced MRI Techniques and Applications (11 papers). Esther Puyol‐Antón is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (12 papers) and Advanced MRI Techniques and Applications (11 papers). Esther Puyol‐Antón collaborates with scholars based in United Kingdom, Netherlands and France. Esther Puyol‐Antón's co-authors include Andrew P. King, Bram Ruijsink, Reza Razavi, Matthew Sinclair, Julia A. Schnabel, Wenjia Bai, İlkay Öksüz, Christopher A. Rinaldi, Amedeo Chiribiri and Hélène Langet and has published in prestigious journals such as Hypertension, European Heart Journal and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Esther Puyol‐Antón

39 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Esther Puyol‐Antón United Kingdom	12	262	247	91	55	54	40	481
Carlos Martín-Isla Spain	9	219 0.8×	106 0.4×	101 1.1×	64 1.2×	45 0.8×	14	371
Giacomo Tarroni Italy	10	172 0.7×	118 0.5×	70 0.8×	59 1.1×	30 0.6×	30	377
Matthew Sinclair United Kingdom	12	230 0.9×	173 0.7×	87 1.0×	53 1.0×	20 0.4×	23	395
Hossam El‐Rewaidy United States	13	477 1.8×	272 1.1×	172 1.9×	19 0.3×	31 0.6×	26	617
Bram Ruijsink United Kingdom	15	349 1.3×	348 1.4×	98 1.1×	37 0.7×	45 0.8×	50	621
Pedro Silva Brazil	7	286 1.1×	281 1.1×	28 0.3×	130 2.4×	37 0.7×	18	550
Guilherme Silva Brazil	6	166 0.6×	132 0.5×	26 0.3×	111 2.0×	35 0.6×	18	333
Gregory Holste United States	10	139 0.5×	82 0.3×	23 0.3×	78 1.4×	60 1.1×	21	257
Majd Zreik Netherlands	5	351 1.3×	116 0.5×	213 2.3×	45 0.8×	27 0.5×	6	428
Jana G. Delfino United States	13	293 1.1×	178 0.7×	76 0.8×	16 0.3×	33 0.6×	31	434

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

Puyol‐Antón, Esther, et al.. (2025). An investigation into the causes of race bias in artificial intelligence–based cine cardiac magnetic resonance segmentation. European Heart Journal - Digital Health. 6(3). 350–358. 2 indexed citations

Masci, Pier Giorgio, Esther Puyol‐Antón, Phil Chowienczyk, et al.. (2025). Older biological age of the cardiovascular system predicts adverse clinical outcome independently of chronological age. Journal of Cardiovascular Magnetic Resonance. 27. 101293–101293. 1 indexed citations

Masci, Pier Giorgio, Maxim Freydin, Esther Puyol‐Antón, et al.. (2025). Left ventricular geometry, brain architecture, and cognition: an observational study. European Heart Journal.

Chen, Chen, Baldeep S. Sidhu, Bram Ruijsink, et al.. (2023). Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Analysis. 88. 102861–102861. 9 indexed citations

Li, Ye, Emily Chan, Esther Puyol‐Antón, et al.. (2023). Hemodynamic Determinants of Elevated Blood Pressure and Hypertension in the Middle to Older-Age UK Population: A UK Biobank Imaging Study. Hypertension. 80(11). 2473–2484. 1 indexed citations

Puyol‐Antón, Esther, Kerstin Hammernik, Gastão Cruz, et al.. (2023). A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Transactions on Biomedical Engineering. 71(3). 855–865. 3 indexed citations

Harana, Jorge Mariscal, Vittoria Vergani, Louise Keehn, et al.. (2023). An artificial intelligence tool for automated analysis of large-scale unstructured clinical cine cardiac magnetic resonance databases. European Heart Journal - Digital Health. 4(5). 370–383. 8 indexed citations

Puyol‐Antón, Esther, Kuberan Pushparajah, Sanjeet Hegde, et al.. (2023). A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot. Journal of Cardiovascular Magnetic Resonance. 25(1). 15–15. 8 indexed citations

Vugt, Marion van, Bram Ruijsink, Jessica van Setten, et al.. (2022). Prevalence and Disease Expression of Pathogenic and Likely Pathogenic Variants Associated With Inherited Cardiomyopathies in the General Population. Circulation Genomic and Precision Medicine. 15(6). e003704–e003704. 34 indexed citations

10.

Cecelja, Marina, Bram Ruijsink, Esther Puyol‐Antón, et al.. (2022). Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank. Journal of the American Heart Association. 11(23). e026361–e026361. 11 indexed citations

11.

Puyol‐Antón, Esther, Baldeep S. Sidhu, Justin Gould, et al.. (2022). A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Analysis. 79. 102465–102465. 27 indexed citations

12.

Puyol‐Antón, Esther, et al.. (2022). Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming?. Frontiers in Cardiovascular Medicine. 8. 818765–818765. 30 indexed citations

13.

Puyol‐Antón, Esther, et al.. (2021). The Role of AI in Characterizing the DCM Phenotype. Frontiers in Cardiovascular Medicine. 8. 787614–787614. 8 indexed citations

14.

Vergani, Vittoria, Reza Razavi, Esther Puyol‐Antón, & Bram Ruijsink. (2021). Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report. Frontiers in Cardiovascular Medicine. 8. 742640–742640. 9 indexed citations

15.

Puyol‐Antón, Esther, Bram Ruijsink, Christian F. Baumgartner, et al.. (2020). Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control. Repository for Publications and Research Data (ETH Zurich). 28 indexed citations

16.

Puyol‐Antón, Esther, Chen Chen, James R. Clough, et al.. (2020). Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. Lecture notes in computer science. 2020. 284–293. 16 indexed citations

17.

Ruijsink, Bram, Esther Puyol‐Antón, İlkay Öksüz, et al.. (2019). Fully Automated, Quality-Controlled Cardiac Analysis From CMR. JACC. Cardiovascular imaging. 13(3). 684–695. 104 indexed citations

18.

Puyol‐Antón, Esther, Bram Ruijsink, Wenjia Bai, et al.. (2018). Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. Research Portal (King's College London). 1139–1143. 13 indexed citations

19.

Öksüz, İlkay, Bram Ruijsink, Esther Puyol‐Antón, et al.. (2018). Automatic left ventricular outflow tract classification for accurate cardiac MR planning. 462–465. 3 indexed citations

20.

Peressutti, Devis, Esther Puyol‐Antón, Wenjia Bai, et al.. (2017). Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Analysis. 43. 169–185. 6 indexed citations

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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