Andrew P. King

211 papers A 5B 2Journal 103Unranked 91

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
2025	J	`jnl`	Deep Learning-Based Fetal Lung Segmentation from Diffusion-weighted MRI Images and Lung Maturity Evaluation for Fetal Growth Restriction. CoRR Zhennan Xiao, Katharine Brudkiewicz, Zhen Yuan, Rosalind Aughwane, Magdalena J. Sokolska, Joanna Chappell, Trevor Gaunt, Anna L. David, Andrew P. King, Andrew Melbourne
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	J	`jnl`	Implicit Neural Representations of Intramyocardial Motion and Strain. CoRR Andrew Bell, Yan Kit Choi, Steffen E. Petersen, Andrew P. King, Muhummad Sohaib Nazir, Alistair A. Young
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`	Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction. IEEE Trans. Medical Imaging George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader
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	J	`jnl`	Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction. CoRR George Webber, Alexander Hammers, Andrew P. King, Andrew J. Reader
2025	—	`ed.`	Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings ASMUS@MICCAI Alberto Gómez, Bishesh Khanal, Andrew P. King, Ana I. L. Namburete
2025	J	`jnl`	Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction. CoRR George Webber, Alexander Hammers, Andrew P. King, Andrew J. Reader
2025	—	`conf`	Supervised Diffusion-Model-Based PET Image Reconstruction. MICCAI (4) George Webber, Alexander Hammers, Andrew P. King, Andrew J. Reader
2025	J	`jnl`	Supervised Diffusion-Model-Based PET Image Reconstruction. CoRR George Webber, Alexander Hammers, Andrew P. King, Andrew J. Reader
2025	J	`jnl`	Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging. CoRR Mubaraq Yakubu, Navodini Wijethilake, Jonathan Shapey, Andrew P. King, Alexander Hammers
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
2025	J	`jnl`	Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration. CoRR Mubaraq Yakubu, Udunna Anazodo, Maruf Adewole, Theodore Barfoot, Tiarna Lee, Tom Vercauteren, Jonathan Shapey, Andrew P. King, Alexander Hammers
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	J	`jnl`	Generative-Model-Based Fully 3D PET Image Reconstruction by Conditional Diffusion Sampling. CoRR George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader
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	J	`jnl`	Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction. CoRR George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader
2024	J	`jnl`	Multi-Subject Image Synthesis as a Generative Prior for Single-Subject PET Image Reconstruction. CoRR George Webber, Yuya Mizuno, Oliver D. Howes, Alexander Hammers, Andrew P. King, Andrew J. Reader
2023	J	`jnl`	A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging Nick Byrne, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King
2023	J	`jnl`	A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. Biomed. Signal Process. Control. Matthieu Ruthven, Marc E. Miquel, Andrew P. King
2023	—	`book`	AI and Big Data in Cardiology: A Practical Guide AI and Big Data in Cardiology Nicolas Duchateau, Andrew P. King
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	J	`jnl`	An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CoRR Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
2023	—	`conf`	An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CLIP/FAIMI/EPIMI@MICCAI Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
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	—	`ch.`	Analysis of Non-imaging Data. AI and Big Data in Cardiology Nicolas Duchateau, Oscar Camara, Rafael Sebastián, Andrew P. King
2023	—	`conf`	Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. MICCAI (1) Hamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez
2023	J	`jnl`	Automatic retrieval of corresponding US views in longitudinal examinations. CoRR Hamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, VITAL Consortium, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez
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	—	`ch.`	Conclusions. AI and Big Data in Cardiology Andrew P. King, Nicolas Duchateau
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	—	`conf`	Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation. STACOM@MICCAI Shaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andrew P. King, Oleg V. Aslanidi
2023	—	`ch.`	Introduction. AI and Big Data in Cardiology Andrew P. King, Nicolas Duchateau
2023	J	`jnl`	Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI. CoRR Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez
2023	—	`conf`	Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. PIPPI@MICCAI Paula Ramirez Gilliland, Uxio Hermida, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Adelaide de Vecchi, Andrew P. King, Pablo Lamata, Maria Deprez
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	J	`jnl`	A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries. CoRR Miguel Xochicale, Louise Thwaites, Sophie Yacoub, Luigi Pisani, Phung Tran Huy Nhat, Hamideh Kerdegari, Andrew P. King, Alberto Gómez
2022	—	`conf`	A Study of Demographic Bias in CNN-Based Brain MR Segmentation. MLCN@MICCAI Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King
2022	J	`jnl`	A Study of Demographic Bias in CNN-based Brain MR Segmentation. CoRR Stefanos Ioannou, Hana Chockler, Alexander Hammers, 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 Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, 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 Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. PIPPI@MICCAI Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez
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	J	`jnl`	Channel Attention Networks for Robust MR Fingerprint Matching. IEEE Trans. Biomed. Eng. Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
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	—	`conf`	Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation. CinC Shaheim Ogbomo-Harmitt, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi
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`	Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. AMAI@MICCAI Laia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano
2022	—	`conf`	TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. LAScarQS@MICCAI Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi
2021	J	`jnl`	A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2021	J	`jnl`	Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations. J. Comput. Phys. Christopher J. Arthurs, Andrew P. King
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	J	`jnl`	Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. Comput. Methods Programs Biomed. Matthieu Ruthven, Marc E. Miquel, Andrew P. King
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	—	`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	—	`conf`	A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
2020	J	`jnl`	A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
2020	J	`jnl`	Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations. CoRR Christopher J. Arthurs, 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	J	`jnl`	Channel Attention Networks for Robust MR Fingerprinting Matching. CoRR Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
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	J	`jnl`	In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. Comput. Biol. Medicine Sofia Monaci, Marina Strocchi, Cristóbal Rodero, Karli Gillette, John Whitaker, Ronak Rajani, Christopher A. Rinaldi, Mark D. O'Neill, Gernot Plank, Andrew P. King, Martin J. Bishop
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`	Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela
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
2020	—	`conf`	Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. EMBC Marta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee
2020	J	`jnl`	Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. IEEE Trans. Pattern Anal. Mach. Intell. James R. Clough, Daniel R. Balfour, Gastão Cruz, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King
2019	J	`jnl`	A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, 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`	Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
2019	J	`jnl`	Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
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	—	`conf`	Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR Alberto Gómez, Cornelia Schmitz, Markus Henningsson, James Housden, Yohan Noh, Veronika A. Zimmer, James R. Clough, Ilkay Öksüz, Nicolas Toussaint, 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`	Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2019	J	`jnl`	Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
2019	J	`jnl`	Transitivity Types Predict Communicative Abilities in Infants at Risk of Autism J. Soc. Struct. Rebekka Schleier, Jana M. Iverson, Andrew P. King, Meredith J. West
2019	J	`jnl`	dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
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`	Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. MLMIR@MICCAI Ilkay Öksüz, James R. Clough, Aurélien Bustin, Gastão Cruz, Claudia Prieto, René M. Botnar, 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`	Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. MLCN/DLF/iMIMIC@MICCAI James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, 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`	Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. EMBC Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
2018	J	`jnl`	Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks. CoRR Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew, Wenjia Bai, Juan Cerrolaza Martinez, Yuanwei Li, Sandra Smith, Caroline L. Knight, Bernhard Kainz, Joseph V. Hajnal, Andrew P. King, Daniel Rueckert
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	—	`conf`	Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
2018	—	`conf`	MRI slice stacking using manifold alignment and wave kernel signatures. ISBI James R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King
2018	J	`jnl`	Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
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`	PET-MR respiratory signal estimation using semi-supervised manifold alignment. ISBI Daniel R. Balfour, James R. Clough, Xin Chen, Martin A. Belzunce, Claudia Prieto, Paul K. Marsden, Andrew J. Reader, 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 framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction. Medical Image Anal. Devis Peressutti, Matthew Sinclair, Wenjia Bai, Thomas Jackson, Jacobus Ruijsink, David Nordsletten, Liya Asner, Myrianthi Hadjicharalambous, Christopher Aldo Rinaldi, Daniel Rueckert, Andrew P. King
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	J	`jnl`	Autoadaptive motion modelling for MR-based respiratory motion estimation. Medical Image Anal. Christian F. Baumgartner, Christoph Kolbitsch, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2017	—	`conf`	Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. MICCAI (2) Xin Chen, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, 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	J	`jnl`	High-Resolution Self-Gated Dynamic Abdominal MRI Using Manifold Alignment. IEEE Trans. Medical Imaging Xin Chen, Muhammad Usman, Christian F. Baumgartner, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, 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	J	`jnl`	Registration of Multiview Echocardiography Sequences Using a Subspace Error Metric. IEEE Trans. Biomed. Eng. Devis Peressutti, Alberto Gómez, Graeme P. Penney, 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
2017	—	`conf`	Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. MICCAI (2) Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert
2016	—	`conf`	Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. MICCAI (3) Xin Chen, Muhammad Usman, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King
2016	—	`conf`	Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images. STACOM@MICCAI Maria Panayiotou, Devis Peressutti, Andrew P. King, Kawal S. Rhode, Richard James Housden
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
2015	—	`conf`	Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. STACOM@MICCAI Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert
2015	J	`jnl`	Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration. Medical Image Anal. Mazen Alhrishy, Andreas Varnavas, Tom Carrell, Andrew P. King, Graeme P. Penney
2015	—	`conf`	Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects. FIMH Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O'Regan, Andrew P. King, Daniel Rueckert
2015	—	`conf`	Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. MICCAI (3) Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2015	B	`conf`	Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration. Image Processing Mazen Alhrishy, Andreas Varnavas, Alexis Guyot, Tom Carrell, Andrew P. King, Graeme P. Penney
2015	—	`conf`	Respiratory Motion Modelling Using Supervised Principal Component Analysis. MIUA Woo-Jin Cho Kim, Andrew P. King, Devis Peressutti
2015	—	`conf`	Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. STACOM@MICCAI Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King
2014	J	`jnl`	High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Medical Image Anal. Christian F. Baumgartner, Christoph Kolbitsch, Daniel R. Balfour, Paul K. Marsden, Jamie R. McClelland, Daniel Rueckert, Andrew P. King
2014	—	`conf`	Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures. STACOM Maria Panayiotou, Andrew P. King, Richard James Housden, YingLiang Ma, Michael V. Truong, Michael Cooklin, Mark D. O'Neill, Jaswinder S. Gill, C. Aldo Rinaldi, Kawal S. Rhode
2014	—	`conf`	Manifold Learning for Cardiac Modeling and Estimation Framework. STACOM Radomír Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith
2014	J	`jnl`	Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Medical Image Anal. Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Andrew P. King
2013	—	`conf`	A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions. ISBI Devis Peressutti, Graeme P. Penney, Christoph Kolbitsch, Richard James Housden, Alberto Gómez, Kawal S. Rhode, Andrew P. King
2013	J	`jnl`	A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King
2013	—	`conf`	Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. STACOM Maria Panayiotou, Andrew P. King, Kanwal K. Bhatia, Richard James Housden, YingLiang Ma, C. Aldo Rinaldi, Jaswinder S. Gill, Michael Cooklin, Mark D. O'Neill, Kawal S. Rhode
2013	—	`conf`	Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion. IPMI Christian F. Baumgartner, Christoph Kolbitsch, Jamie McClelland, Daniel Rueckert, Andrew P. King
2013	—	`conf`	Interventional Digital Tomosynthesis from a Standard Fluoroscopy System Using 2D-3D Registration. MICCAI (3) Mazen Alhrishy, Andreas Varnavas, Tom Carrell, Andrew P. King, Graeme P. Penney
2013	J	`jnl`	Respiratory motion models: A review. Medical Image Anal. Jamie McClelland, David J. Hawkes, Tobias Schaeffter, Andrew P. King
2013	—	`conf`	Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions. FIMH Richard James Housden, Mandeep Basra, YingLiang Ma, Andrew P. King, Roland Bullens, Nick Child, Jaswinder S. Gill, C. Aldo Rinaldi, Victoria Parish, Kawal S. Rhode
2012	—	`ch.`	3D Medical Imaging. 3D Imaging, Analysis and Applications Philip G. Batchelor, P. J. Eddie Edwards, Andrew P. King
2012	—	`conf`	Automatic image-based retrospective gating of interventional cardiac X-ray images. EMBC Maria Panayiotou, Andrew P. King, YingLiang Ma, C. Aldo Rinaldi, Jaspal Gill, Michael Cooklin, Mark D. O'Neill, Kawal S. Rhode
2012	J	`jnl`	Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI. IEEE Trans. Medical Imaging Christian Buerger, Rachel E. Clough, Andrew P. King, Tobias Schaeffter, Claudia Prieto
2012	J	`jnl`	Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator. Medical Image Anal. Andrew P. King, Christian Buerger, Charalampos Tsoumpas, Paul K. Marsden, Tobias Schaeffter
2011	—	`conf`	Assessment of input signal positioning for cardiac respiratory motion models during different breathing patterns. ISBI F. Savill, Tobias Schaeffter, Andrew P. King
2011	—	`conf`	Capturing breathing motion variability using two signal motion models of the heart. MIUA Nicholas McGlashan, Andrew P. King
2011	J	`jnl`	Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation. Medical Image Anal. Christian Buerger, Tobias Schaeffter, Andrew P. King
2010	—	`conf`	Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images. WBIR Andrew P. King, Christian Buerger, Tobias Schaeffter
2010	—	`conf`	Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI. ISBI Christian Buerger, Tobias Schaeffter, Andrew P. King
2010	—	`conf`	Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. MICCAI (1) YingLiang Ma, Andrew P. King, Nicolas Gogin, C. Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S. Rhode
2010	J	`jnl`	Registering Preprocedure Volumetric Images With Intraprocedure 3-D Ultrasound Using an Ultrasound Imaging Model. IEEE Trans. Medical Imaging Andrew P. King, Kawal S. Rhode, YingLiang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Graeme P. Penney
2010	J	`jnl`	Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography. Medical Image Anal. Andrew P. King, Christian Jansen, Kawal S. Rhode, Dennis Caulfield, Reza Razavi, Graeme P. Penney
2009	J	`jnl`	A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures. Medical Image Anal. Andrew P. King, Redha Boubertakh, Kawal S. Rhode, YingLiang Ma, Phani Chinchapatnam, Gang Gao, T. Tangcharoen, Matthew Ginks, Michael Cooklin, Jaswinder S. Gill, David J. Hawkes, Reza Razavi, Tobias Schaeffter
2009	J	`jnl`	An Adaptive and Predictive Respiratory Motion Model for Image-Guided Interventions: Theory and First Clinical Application. IEEE Trans. Medical Imaging Andrew P. King, Kawal S. Rhode, Reza Razavi, Tobias Schaeffter
2009	—	`conf`	Echocardiography to magnetic resonance image registration for use in image-guide electrophysiology procedures. Image-Guided Procedures YingLiang Ma, Kawal S. Rhode, Andrew P. King, Dennis Caulfield, Michael Cooklin, Reza Razavi, Graeme P. Penney
2009	—	`conf`	Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model. IPMI Andrew P. King, YingLiang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Kawal S. Rhode, Graeme P. Penney
2008	B	`conf`	A novel framework for multi-modal intensity-based similarity measures based on internal similarity. Image Processing Graeme P. Penney, Lewis D. Griffin, Andrew P. King, David J. Hawkes
2008	—	`conf`	A technique for respiratory motion correction in image guided cardiac catheterisation procedures. Image-Guided Procedures Andrew P. King, Redha Boubertakh, K. L. Ng, YingLiang Ma, Phani Chinchapatnam, Gang Gao, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Kawal S. Rhode
2008	—	`conf`	Evaluation of the use of multimodality skin markers for the registration of pre-procedure cardiac MR images and intra-procedure x-ray fluoroscopy images for image guided cardiac electrophysiology procedures. Image-Guided Procedures Kawal S. Rhode, YingLiang Ma, Angela Chandrasena, Andrew P. King, Gang Gao, Phani Chinchapatnam, Maxime Sermesant, David J. Hawkes, Tobias Schaeffter, Jaswinder S. Gill, Reza Razavi
2008	—	`conf`	Model-based respiratory motion correction using 3-D echocardiography. ISBI Andrew P. King, Christian Jansen, Redha Boubertakh, Kawal S. Rhode, Reza Razavi, Graeme P. Penney
2008	—	`conf`	Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures. Image-Guided Procedures YingLiang Ma, Kawal S. Rhode, Gang Gao, Andrew P. King, Phani Chinchapatnam, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Graeme P. Penney
2007	—	`conf`	Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. MICCAI (1) Phani Chinchapatnam, Kawal S. Rhode, Andrew P. King, Gang Gao, YingLiang Ma, Tobias Schaeffter, David J. Hawkes, Reza Razavi, Derek L. G. Hill, Simon R. Arridge, Maxime Sermesant
2005	J	`jnl`	Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation. IEEE Trans. Medical Imaging Jane M. Blackall, Graeme P. Penney, Andrew P. King, David J. Hawkes
2004	—	`conf`	Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation. Image-Guided Procedures Jane M. Blackall, Graeme P. Penney, Andrew P. King, Andreas N. Adam, David J. Hawkes
2001	A	`conf`	A Statistical Model of Respiratory Motion and Deformation of the Liver. MICCAI Jane M. Blackall, Andrew P. King, Graeme P. Penney, Andreas N. Adam, David J. Hawkes
2001	A	`conf`	A Stochastic Iterative Closest Point Algorithm (stochastICP). MICCAI Graeme P. Penney, Philip J. Edwards, Andrew P. King, Jane M. Blackall, Philipp G. Batchelor, David J. Hawkes
2001	—	`conf`	Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound. IPMI Andrew P. King, Philipp G. Batchelor, Graeme P. Penney, Jane M. Blackall, Derek L. G. Hill, David J. Hawkes
2000	A	`conf`	Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound. MICCAI Andrew P. King, Jane M. Blackall, Graeme P. Penney, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes
2000	J	`jnl`	Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). IEEE Trans. Medical Imaging Philip J. Edwards, Andrew P. King, Calvin R. Maurer Jr., Darryl A. de Cunha, David J. Hawkes, Derek L. G. Hill, Ronald P. Gaston, Michael R. Fenlon, A. Jusczyzck, Anthony J. Strong, Christopher L. Chandler, Michael J. Gleeson
2000	J	`jnl`	Stereo Augmented Reality in the Surgical Microscope. Presence Teleoperators Virtual Environ. Andrew P. King, Philip J. Edwards, Calvin R. Maurer Jr., Darryl A. de Cunha, Ronald P. Gaston, Matthew J. Clarkson, Derek L. G. Hill, David J. Hawkes, Michael R. Fenlon, Anthony J. Strong, Tim C. S. Cox, Michael J. Gleeson
1999	A	`conf`	Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). MICCAI Philip J. Edwards, Andrew P. King, Calvin R. Maurer Jr., Darryl A. de Cunha, David J. Hawkes, Derek L. G. Hill, Ronald P. Gaston, Michael R. Fenlon, Subhash Chandra, Anthony J. Strong, Christopher L. Chandler, Aurelia Richards, Michael J. Gleeson
1999	A	`conf`	Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. MICCAI Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes