Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography
Puyol-Antón, E., Ruijsink, B., Sidhu, B. S., Gould, J., Porter, B., Elliott, M. K., Mehta, V., Gu, H., Rinaldi, C. A., cowie, M., Chowienczyk, P., Razavi, R. & King, A. P., 15 Sept 2022, Simplifying Medical Ultrasound - 3rd International Workshop, ASMUS 2022, held in Conjunction with MICCAI 2022, Proceedings. Aylward, S., Noble, J. A., Hu, Y., Lee, S-L., Baum, Z. & Min, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 75-85 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13565 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
2 Citations (Scopus) -
A Multimodal Deep Learning Model for Cardiac Resynchronisation Therapy Response Prediction
Puyol Anton, E., Sidhu, B., Gould, J., Porter, B., Elliott, M., Mehta, V., Rinaldi, C. A. & King, A., 20 Apr 2022, (Accepted/In press) In: Medical Image Analysis.Research output: Contribution to journal › Article › peer-review
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Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation
Puyol-Anton, E., Ruijsink, B., Mariscal Harana, J., Piechnik, S. K., Neubauer, S., Petersen, S. E., Razavi, R., Chowienczyk, P. & King, A. P., 7 Apr 2022, In: Frontiers in Cardiovascular Medicine. 9, 859310.Research output: Contribution to journal › Article › peer-review
Open AccessFile36 Citations (Scopus)147 Downloads (Pure) -
Artificial Intelligence in Cardiac MRI: is clinical adoption forthcoming?
Fotaki, A., Puyol Anton, E., Chiribiri, A., Botnar, R., Pushparajah, K. & Prieto Vasquez, C., 15 Dec 2021, (Accepted/In press) In: Frontiers in Cardiovascular Medicine. 16 p., 818765.Research output: Contribution to journal › Review article › peer-review
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Automated Localisation of Focal Ventricular Tachycardia from Simulated Implanted Device Electrograms: A Combined Physics-AI Approach
Monaci, S., Gillette, K., Puyol Anton, E., Rajani, R., Plank, G., King, A. & Bishop, M., 31 May 2021, (Accepted/In press) In: Frontiers in Physiology.Research output: Contribution to journal › Article › peer-review
Open AccessFile125 Downloads (Pure)
Projects
- 1 Finished
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Automating analysis and interpretation of Cardiac MR using Quality-Controlled AI
Puyol Anton, E., King, A., Razavi, R. & Ruijsink, B.
EPSRC Engineering and Physical Sciences Research Council
1/07/2020 → 31/01/2022
Project: Research
Activities
- 2 Types of Public engagement and outreach - Media article or participation
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New artificial intelligence tool automates analysis of large-scale cardiac scan databases
Jorge Mariscal Harana (Reviewer), Bram Ruijsink (Reviewer), Reza Razavi (Reviewer), Andrew King (Reviewer) & Esther Puyol Anton (Reviewer)
20 Sept 2023Activity: Other › Types of Public engagement and outreach - Media article or participation
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AI models can be racially biased when trained on unbalanced data sets, researchers find
Esther Puyol Anton (Reviewer) & Andrew King (Reviewer)
13 Apr 2022Activity: Other › Types of Public engagement and outreach - Media article or participation
Datasets
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Regional Multi-view Learning for Cardiac Motion Analysis
Puyol Anton, E., Ruijsink, B., Gerber, B., Amzulescu, M. S., Langet, H., De Craene, M., Schnabela, J., Piro, P. & King, A., King's College London, 12 Dec 2017
DOI: 10.18742/rdm01-244, https://kcl.figshare.com/articles/dataset/Regional_Multi-view_Learning_for_Cardiac_Motion_Analysis/16473744
Dataset