Towards a multimodal cardiac motion atlas. - Esther Puyol-Antón; Devis Peressutti; Paul Aljabar; Mathieu De Craene; Paolo Piro; Andrew P. King (ISBI, 2016)

Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. - 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 (STACOM@MICCAI, 2016)

Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. - 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 (STACOM@MICCAI, 2017)

Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. - Bram Ruijsink; Esther Puyol-Antón; Muhammad Usman 014; Joshua van Amerom; Phuoc Duong; Mari Nieves Velasco Forte; Kuberan Pushparajah; Alessandra Frigiola; David A. Nordsletten; Andrew P. King; Reza Razavi (CMMI/RAMBO/SWITCH@MICCAI, 2017)

Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. - Matthew Sinclair; Wenjia Bai; Esther Puyol-Antón; Ozan Oktay; Daniel Rueckert; Andrew P. King (MICCAI (2), 2017)

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. - Esther Puyol-Antón; Matthew Sinclair; Bernhard Gerber; Mihaela Silvia Amzulescu; Hélène Langet; Mathieu De Craene; Paul Aljabar; Paolo Piro; Andrew P. King (Medical Image Anal., 2017)

Automatic left ventricular outflow tract classification for accurate cardiac MR planning. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Matthew Sinclair; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (ISBI, 2018)

Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. - Esther Puyol-Antón; Bram Ruijsink; Wenjia Bai; Hélène Langet; Mathieu De Craene; Julia A. Schnabel; Paolo Piro; Andrew P. King; Matthew Sinclair (ISBI, 2018)

Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. - Eric Kerfoot; Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Andrew P. King; Julia A. Schnabel (RAMBO+BIA+TIA@MICCAI, 2018)

Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. - Ilkay Öksüz; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (MICCAI (1), 2018)

Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. - Esther Puyol-Antón; Bram Ruijsink; Hélène Langet; Mathieu De Craene; Paolo Piro; Julia A. Schnabel; Andrew P. King (STACOM@MICCAI, 2018)

Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Lisa M. Koch; Andrew P. King; Ender Konukoglu; Marc Pollefeys (ShapeMI@MICCAI, 2018)

Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients. - 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; et al. (Medical Image Anal., 2018)

Global and Local Interpretability for Cardiac MRI Classification. - James R. Clough; Ilkay Öksüz; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

Synthesising Images and Labels Between MR Sequence Types with CycleGAN. - Eric Kerfoot; Esther Puyol-Antón; Bram Ruijsink; Rina Ariga; Ernesto Zacur; Pablo Lamata; Julia A. Schnabel (DART/MIL3ID@MICCAI, 2019)

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (MICCAI (4), 2019)

Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. - Esther Puyol-Antón; Bram Ruijsink; James R. Clough; Ilkay Öksüz; Daniel Rueckert; Reza Razavi; Andrew P. King (STACOM@MICCAI, 2019)

High-quality segmentation of low quality cardiac MR images using k-space artefact correction. - Ilkay Öksüz; James R. Clough; Wenjia Bai; Bram Ruijsink; Esther Puyol-Antón; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (MIDL, 2019)

Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Daniel Rueckert; Andrew P. King; Julia A. Schnabel (CoRR, 2019)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. - 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 (Medical Image Anal., 2019)

Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. - Esther Puyol-Antón; Bram Ruijsink; Bernhard Gerber; Mihaela Silvia Amzulescu; Hélène Langet; Mathieu De Craene; Julia A. Schnabel; Paolo Piro; Andrew P. King (IEEE Trans. Biomed. Eng., 2019)

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. - Esther Puyol-Antón; Chen Chen 042; 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 (MICCAI (1), 2020)

Quality-Aware Semi-supervised Learning for CMR Segmentation. - Bram Ruijsink; Esther Puyol-Antón; Ye Li; Wenjia Bai; Eric Kerfoot; Reza Razavi; Andrew P. King (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Probabilistic 3D Surface Reconstruction from Sparse MRI Information. - Katarína Tóthová; Sarah Parisot; Matthew C. H. Lee; Esther Puyol-Antón; Andrew P. King; Marc Pollefeys; Ender Konukoglu (MICCAI (1), 2020)

Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Catriona Reid; Baba Inusa; Andrew P. King (ASMUS/PIPPI@MICCAI, 2020)

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. - Esther Puyol-Antón; Bram Ruijsink; Christian F. Baumgartner; Matthew Sinclair; Ender Konukoglu; Reza Razavi; Andrew P. King (CoRR, 2020)

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. - Ilkay Öksüz; James R. Clough; Bram Ruijsink; Esther Puyol-Antón; Aurélien Bustin; Gastão Cruz; Claudia Prieto; Andrew P. King; Julia A. Schnabel (IEEE Trans. Medical Imaging, 2020)

Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. - Esther Puyol-Antón; Bram Ruijsink; Stefan K. Piechnik; Stefan Neubauer; Steffen E. Petersen; Reza Razavi; Andrew P. King (MICCAI (3), 2021)

Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance. - Dewmini Hasara Wickremasinghe; Natallia Khenkina; Pier-Giorgio Masci; Andrew P. King; Esther Puyol-Antón (MIUA, 2021)

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. - Tareen Dawood; Chen Chen 042; Robin Andlauer; Baldeep S. Sidhu; Bram Ruijsink; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; C. Aldo Rinaldi; Esther Puyol-Antón; Reza Razavi; et al. (STACOM@MICCAI, 2021)

Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. - Jorge Mariscal Harana; Naomi Kifle; Reza Razavi; Andrew P. King; Bram Ruijsink; Esther Puyol-Antón (STACOM@MICCAI, 2021)

Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. - 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 (STACOM@MICCAI, 2021)

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. - Devran Ugurlu; Esther Puyol-Antón; Bram Ruijsink; Alistair A. Young; Inês Machado; Kerstin Hammernik; Andrew P. King; Julia A. Schnabel (STACOM@MICCAI, 2021)

Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. - Germain Morilhat; Naomi Kifle; Sandra FinesilverSmith; Bram Ruijsink; Vittoria Vergani; Habtamu Tegegne Desita; Zerubabel Tegegne Desita; Esther Puyol-Antón; Aaron Carass; Andrew P. King (DeCaF/FAIR@MICCAI, 2022)

AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - 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; et al. (ASMUS@MICCAI, 2022)

Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. - 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; et al. (STACOM@MICCAI, 2022)

Multi-modal Latent-Space Self-alignment for Super-Resolution Cardiac MR Segmentation. - Yu Deng; Yang Wen; Linglong Qian; Esther Puyol-Antón; Hao Xu; Kuberan Pushparajah; Zina M. Ibrahim; Richard J. B. Dobson; Alistair A. Young (STACOM@MICCAI, 2022)

A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (STACOM@MICCAI, 2022)

Deep learning-based quality-controlled spleen assessment from ultrasound images. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Nicola Smith; Baba Inusa; Andrew P. King (Biomed. Signal Process. Control., 2022)

AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. - Esther Puyol-Antón; Bram Ruijsink; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Haotian Gu; Miguel Xochicale; Alberto Gómez 002; Christopher A. Rinaldi; Martin R. Cowie; et al. (CoRR, 2022)

Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. - 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 (CoRR, 2022)

A multimodal deep learning model for cardiac resynchronisation therapy response prediction. - Esther Puyol-Antón; Baldeep S. Sidhu; Justin Gould; Bradley Porter; Mark K. Elliott; Vishal Mehta; Christopher A. Rinaldi; Andrew P. King (Medical Image Anal., 2022)

AI and Machine Learning: The Basics. - Nicolas Duchateau; Esther Puyol-Antón; Bram Ruijsink; Andrew P. King (AI and Big Data in Cardiology, 2023)

Quality Control. - Ilkay Öksüz; Alain Lalande; Esther Puyol-Antón (AI and Big Data in Cardiology, 2023)

Bias in Unsupervised Anomaly Detection in Brain MRI. - Cosmin I. Bercea; Esther Puyol-Antón; Benedikt Wiestler; Daniel Rueckert; Julia A. Schnabel; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Keana Aitcheson; Miaojing Shi; Andrew P. King (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. - Tareen Dawood; Emily Chan; Reza Razavi; Andrew P. King; Esther Puyol-Antón (ISBI, 2023)

Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views. - Zhen Yuan; Esther Puyol-Antón; Haran Jogeesvaran; Baba Inusa; Andrew P. King (CoRR, 2023)

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. - Tareen Dawood; Chen Chen 042; 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 (CoRR, 2023)

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. - Tareen Dawood; Chen Chen 042; 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 (Medical Image Anal., 2023)

Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. - Iman Islam; Esther Puyol-Antón; Bram Ruijsink; Andrew J. Reader; Andrew P. King (ASMUS@MICCAI, 2024)

Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation. - Dewmini Hasara Wickremasinghe; Yiyang Xu; Esther Puyol-Antón; Paul Aljabar; Reza Razavi; Andrew P. King (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Improved 3D Whole Heart Geometry from Sparse CMR Slices. - Yiyang Xu; Hao Xu; Matthew Sinclair; Esther Puyol-Antón; Steven A. Niederer; Amedeo Chiribiri; Steven E. Williams; Michelle C. Williams; Alistair A. Young (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. - Tareen Dawood; Bram Ruijsink; Reza Razavi; Andrew P. King; Esther Puyol-Antón (CoRR, 2024)

An investigation into the causes of race bias in AI-based cine CMR segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Sebastien Roujol; Theodore Barfoot; Shaheim Ogbomo-Harmitt; Miaojing Shi; Andrew P. King (CoRR, 2024)

DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (CoRR, 2024)

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. - 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; et al. (IEEE Trans. Biomed. Eng., 2024)

DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images. - Zhen Yuan; David Stojanovski; Lei Li 020; Alberto Gómez 002; Haran Jogeesvaran; Esther Puyol-Antón; Baba Inusa; Andrew P. King (Medical Image Anal., 2025)

Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. - Tiarna Lee; Esther Puyol-Antón; Bram Ruijsink; Miaojing Shi; Andrew P. King (CoRR, 2025)