Esther Puyol-Antón

102 papers Journal 51Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-based CMR Biomarker Estimates Using Scan-rescan Data. CoRR Dewmini Hasara Wickremasinghe, Michelle Gibogwe, Andrew Bell, Esther Puyol-Antón, Muhummad Sohaib Nazir, Reza Razavi, Bruno Paun, Paul Aljabar, Andrew P. King
2026	—	`ed.`	Fairness of AI in Medical Imaging - Third International Workshop, FAIMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings FAIMI@MICCAI Esther Puyol-Antón, Enzo Ferrante, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Ben Glocker, Eike Petersen, Heisook Lee
2026	J	`jnl`	Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis. CoRR Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker
2025	J	`jnl`	DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images. Medical Image Anal. Zhen Yuan, David Stojanovski, Lei Li, Alberto Gómez, Haran Jogeesvaran, Esther Puyol-Antón, Baba Inusa, Andrew P. King
2025	—	`conf`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. FAIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2025	J	`jnl`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2025	—	`ed.`	Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings FAIMI/EPIMI@MICCAI Esther Puyol-Antón, Ghada Zamzmi, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Eike Petersen, John S. H. Baxter, Islem Rekik, Roy Eagleson
2025	—	`conf`	Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer's Disease Classification. FAIMI@MICCAI Akshit Achara, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025	J	`jnl`	Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-based Alzheimer's Disease Classification. CoRR Akshit Achara, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025	J	`jnl`	Localising Shortcut Learning in Pixel Space via Ordinal Scoring Correlations for Attribution Representations (OSCAR). CoRR Akshit Achara, Peter Triantafillou, Esther Puyol-Antón, Alexander Hammers, Andrew P. King
2025	—	`conf`	Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis. MICCAI (2) Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker
2025	J	`jnl`	Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis. CoRR Tian Xia, Matthew Sinclair, Andreas Schuh, Fabio De Sousa Ribeiro, Raghav Mehta, Rajat Rasal, Esther Puyol-Antón, Samuel Gerber, Kersten Petersen, Michiel Schaap, Ben Glocker
2025	—	`ed.`	Statistical Atlases and Computational Models of the Heart. Workshop, CMRxRecon and MBAS Challenge Papers. - 15th International Workshop, STACOM 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Revised Selected Papers CMRxRecon/MBAS/STACOM@MICCAI Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Jichao Zhao, Chengyan Wang, Qian Tao, Alistair Young
2025	—	`conf`	The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models. FAIMI@MICCAI Partha Shah, Durva Sankhe, Maariyah Rashid, Zakaa Khaled, Esther Puyol-Antón, Tiarna Lee, Maram Alqarni, Sweta Rai, Andrew P. King
2025	J	`jnl`	The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models. CoRR Partha Shah, Durva Sankhe, Maariyah Rashid, Zakaa Khaled, Esther Puyol-Antón, Tiarna Lee, Maram Alqarni, Sweta Rai, Andrew P. King
2024	J	`jnl`	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2024	J	`jnl`	An investigation into the causes of race bias in AI-based cine CMR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Sebastien Roujol, Theodore Barfoot, Shaheim Ogbomo-Harmitt, Miaojing Shi, Andrew P. King
2024	J	`jnl`	DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images. CoRR Zhen Yuan, David Stojanovski, Lei Li, Alberto Gómez, Haran Jogeesvaran, Esther Puyol-Antón, Baba Inusa, Andrew P. King
2024	—	`conf`	Improved 3D Whole Heart Geometry from Sparse CMR Slices. CMRxRecon/MBAS/STACOM@MICCAI Yiyang Xu, Hao Xu, Matthew Sinclair, Esther Puyol-Antón, Steven A. Niederer, Amedeo Chiribiri, Steven E. Williams, Michelle C. Williams, Alistair A. Young
2024	J	`jnl`	Improved 3D Whole Heart Geometry from Sparse CMR Slices. CoRR Yiyang Xu, Hao Xu, Matthew Sinclair, Esther Puyol-Antón, Steven A. Niederer, Amedeo Chiribiri, Steven E. Williams, Michelle C. Williams, Alistair A. Young
2024	J	`jnl`	Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. CoRR Tareen Dawood, Bram Ruijsink, Reza Razavi, Andrew P. King, Esther Puyol-Antón
2024	—	`conf`	Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation. CMRxRecon/MBAS/STACOM@MICCAI Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón, Paul Aljabar, Reza Razavi, Andrew P. King
2024	J	`jnl`	Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation. CoRR Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón, Paul Aljabar, Reza Razavi, Andrew P. King
2024	J	`jnl`	Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling. CoRR Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King
2024	—	`conf`	Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. ASMUS@MICCAI Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King
2024	—	`ed.`	Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Revised Selected Papers STACOM@MICCAI Oscar Camara, Esther Puyol-Antón, Maxime Sermesant, Avan Suinesiaputra, Qian Tao, Chengyan Wang, Alistair A. Young
2023	—	`ch.`	AI and Machine Learning: The Basics. AI and Big Data in Cardiology Nicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King
2023	—	`conf`	Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. ISBI Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Antón
2023	—	`conf`	An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	J	`jnl`	An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	—	`conf`	Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023	J	`jnl`	Bias in Unsupervised Anomaly Detection in Brain MRI. CoRR Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2023	—	`ed.`	Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging - 12th International Workshop, CLIP 2023 1st International Workshop, FAIMI 2023 and 2nd International Workshop, EPIMI 2023 Vancouver, BC, Canada, October 8 and October 12, 2023 Proceedings CLIP/FAIMI/EPIMI@MICCAI Stefan Wesarg, Esther Puyol-Antón, John S. H. Baxter, Marius Erdt, Klaus Drechsler, Cristina Oyarzun Laura, Moti Freiman, Yufei Chen, Islem Rekik, Roy Eagleson, Aasa Feragen, Andrew P. King, Veronika Cheplygina, Melanie Ganz-Benjaminsen, Enzo Ferrante, Ben Glocker, Daniel Moyer, Eike Petersen
2023	J	`jnl`	Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views. CoRR Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Baba Inusa, Andrew P. King
2023	—	`ch.`	Quality Control. AI and Big Data in Cardiology Ilkay Öksüz, Alain Lalande, Esther Puyol-Antón
2023	J	`jnl`	Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2023	J	`jnl`	Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. Tareen Dawood, 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
2022	J	`jnl`	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2022	—	`conf`	A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2022	J	`jnl`	A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Anal. Esther Puyol-Antón, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Andrew P. King
2022	J	`jnl`	A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2022	—	`conf`	AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. ASMUS@MICCAI Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
2022	J	`jnl`	AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
2022	—	`conf`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	J	`jnl`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	—	`conf`	Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
2022	J	`jnl`	Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. CoRR Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
2022	J	`jnl`	Deep learning-based quality-controlled spleen assessment from ultrasound images. Biomed. Signal Process. Control. Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Nicola Smith, Baba Inusa, Andrew P. King
2022	J	`jnl`	Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. CoRR Jorge Mariscal Harana, Clint Asher, Vittoria Vergani, Maleeha Rizvi, Louise Keehn, Raymond J. Kim, Robert M. Judd, Steffen E. Petersen, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	—	`conf`	Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. STACOM@MICCAI Yu Deng, Yang Wen, Linglong Qian, Esther Puyol-Antón, Hao Xu, Kuberan Pushparajah, Zina M. Ibrahim, Richard J. B. Dobson, Alistair A. Young
2022	—	`ed.`	Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM@MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers STACOM@MICCAI Esther Puyol-Antón, Mihaela Pop, Carlos Martín-Isla, Maxime Sermesant, Avan Suinesiaputra, Oscar Camara, Karim Lekadir, Alistair Young
2022	—	`ed.`	Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers STACOM@MICCAI Oscar Camara, Esther Puyol-Antón, Chen Qin, Maxime Sermesant, Avan Suinesiaputra, Shuo Wang, Alistair A. Young
2021	—	`conf`	Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance. MIUA Dewmini Hasara Wickremasinghe, Natallia Khenkina, Pier-Giorgio Masci, Andrew P. King, Esther Puyol-Antón
2021	—	`conf`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. MICCAI (3) Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	J	`jnl`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. CoRR Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	—	`conf`	Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. STACOM@MICCAI Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2021	J	`jnl`	Improved AI-based segmentation of apical and basal slices from clinical cine CMR. CoRR Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2021	—	`conf`	Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	J	`jnl`	Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	—	`ed.`	Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Revised Selected Papers M&Ms and EMIDEC/STACOM@MICCAI Esther Puyol-Antón, Mihaela Pop, Maxime Sermesant, Víctor M. Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair A. Young
2021	—	`conf`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	J	`jnl`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	—	`conf`	Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. STACOM@MICCAI Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2021	J	`jnl`	Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. CoRR Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2020	J	`jnl`	Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
2020	—	`conf`	Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. ASMUS/PIPPI@MICCAI Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King
2020	J	`jnl`	Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. CoRR Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King
2020	J	`jnl`	Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2020	—	`conf`	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020	J	`jnl`	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020	—	`conf`	Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
2020	J	`jnl`	Probabilistic 3D surface reconstruction from sparse MRI information. CoRR Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
2020	—	`conf`	Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2020	J	`jnl`	Quality-aware semi-supervised learning for CMR segmentation. CoRR Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2019	—	`conf`	Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019	J	`jnl`	Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019	J	`jnl`	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2019	J	`jnl`	Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Global and Local Interpretability for Cardiac MRI Classification. CoRR James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. Esther Puyol-Antón, Bram Ruijsink, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King
2019	—	`conf`	Synthesising Images and Labels Between MR Sequence Types with CycleGAN. DART/MIL3ID@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel
2018	—	`conf`	Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel
2018	J	`jnl`	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Automatic left ventricular outflow tract classification for accurate cardiac MR planning. ISBI Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. MICCAI (1) Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. CoRR Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. ISBI Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair
2018	—	`conf`	Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. Medical Image Anal. Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, Simone Rivolo, Jessica Webb, Simon Claridge, Thomas Jackson, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2018	—	`conf`	Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. ShapeMI@MICCAI Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2018	J	`jnl`	Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. CoRR Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys
2017	J	`jnl`	A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Anal. Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Paolo Piro, Andrew P. King
2017	—	`conf`	Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. MICCAI (2) Matthew Sinclair, Wenjia Bai, Esther Puyol-Antón, Ozan Oktay, Daniel Rueckert, Andrew P. King
2017	—	`conf`	Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. STACOM@MICCAI Esther Puyol-Antón, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King
2017	—	`conf`	Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. CMMI/RAMBO/SWITCH@MICCAI Bram Ruijsink, Esther Puyol-Antón, Muhammad Usman, Joshua van Amerom, Phuoc Duong, Mari Nieves Velasco Forte, Kuberan Pushparajah, Alessandra Frigiola, David A. Nordsletten, Andrew P. King, Reza Razavi
2016	—	`conf`	Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. STACOM@MICCAI Matthew Sinclair, Devis Peressutti, Esther Puyol-Antón, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2016	—	`conf`	Towards a multimodal cardiac motion atlas. ISBI Esther Puyol-Antón, Devis Peressutti, Paul Aljabar, Mathieu De Craene, Paolo Piro, Andrew P. King