Andrew P. King

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 131

Top Venues

Publications

Tareen Dawood, Bram Ruijsink, Reza Razavi, Andrew P. King, Esther Puyol-Antón
Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. CoRR (2024)
Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling. CoRR (2024)
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
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. 71 (3) (2024)
Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CLIP/FAIMI/EPIMI@MICCAI (2023)
Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR (2023)
Matthieu Ruthven, Marc E. Miquel, Andrew P. King
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. Biomed. Signal Process. Control. 80 (Part) (2023)
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
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI. CoRR (2023)
Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Baba Inusa, Andrew P. King
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views. CoRR (2023)
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
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR (2023)
Nick Byrne, James R. Clough, Israel Valverde, Giovanni Montana, Andrew P. King
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR. IEEE Trans. Medical Imaging 42 (1) (2023)
Hamideh Kerdegari, Tran Huy Nhat Phung1, 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
Automatic retrieval of corresponding US views in longitudinal examinations. CoRR (2023)
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
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. PIPPI@MICCAI (2023)
Mohamed Huti, Tiarna Lee, Elinor Sawyer, Andrew P. King
An Investigation Into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features. CoRR (2023)
Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI (2023)
Shaheim Ogbomo-Harmitt, George Obada, Nele Vandersickel, Andrew P. King, Oleg V. Aslanidi
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation. STACOM@MICCAI (2023)
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Bias in Unsupervised Anomaly Detection in Brain MRI. CLIP/FAIMI/EPIMI@MICCAI (2023)
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
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. 88 (2023)
Tareen Dawood, Emily Chan, Reza Razavi, Andrew P. King, Esther Puyol-Antón
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training. ISBI (2023)
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
Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. MICCAI (1) (2023)
Cosmin I. Bercea, Esther Puyol-Antón, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
Bias in Unsupervised Anomaly Detection in Brain MRI. CoRR (2023)
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
Channel Attention Networks for Robust MR Fingerprint Matching. IEEE Trans. Biomed. Eng. 69 (4) (2022)
Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI (2022)
Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI (2022)
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
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI (2022)
Esther Puyol-Antón, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Andrew P. King
A multimodal deep learning model for cardiac resynchronisation therapy response prediction. Medical Image Anal. 79 (2022)
Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. CoRR (2022)
Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Nicola Smith, Baba Inusa, Andrew P. King
Deep learning-based quality-controlled spleen assessment from ultrasound images. Biomed. Signal Process. Control. 76 (2022)
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 Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR (2022)
James R. Clough, Nicholas Byrne, Ilkay Öksüz, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Laia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano
Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. AMAI@MICCAI (2022)
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
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. CoRR (2022)
Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. ASMUS@MICCAI (2022)
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
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR (2022)
Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King
A Study of Demographic Bias in CNN-based Brain MR Segmentation. CoRR (2022)
Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King
A Study of Demographic Bias in CNN-Based Brain MR Segmentation. MLCN@MICCAI (2022)
Paula Ramirez Gilliland, Alena Uus, Milou van Poppel, Irina Grigorescu, Johannes Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez
Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. PIPPI@MICCAI (2022)
Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR (2022)
Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi
TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. LAScarQS@MICCAI (2022)
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
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR (2022)
Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. CoRR (2021)
Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. MICCAI (3) (2021)
Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
Improved AI-based segmentation of apical and basal slices from clinical cine CMR. CoRR (2021)
Matthieu Ruthven, Marc E. Miquel, Andrew P. King
Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. Comput. Methods Programs Biomed. 198 (2021)
Dewmini Hasara Wickremasinghe, Natallia Khenkina, Pier-Giorgio Masci, Andrew P. King, Esther Puyol-Antón
Automatic Detection of Extra-Cardiac Findings in Cardiovascular Magnetic Resonance. MIUA (2021)
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
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI (2021)
Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. CoRR (2021)
Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. STACOM@MICCAI (2021)
Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR (2021)
Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI (2021)
Christopher J. Arthurs, Andrew P. King
Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations. J. Comput. Phys. 438 (2021)
Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. STACOM@MICCAI (2021)
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
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR (2021)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR. CoRR (2021)
Ana Lourenço, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) (2020)
Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
Quality-aware semi-supervised learning for CMR segmentation. CoRR (2020)
Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. CoRR (2020)
Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR (2020)
Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
Probabilistic 3D surface reconstruction from sparse MRI information. CoRR (2020)
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
A persistent homology-based topological loss function for multi-class CNN segmentation of cardiac MRI. CoRR (2020)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging 39 (12) (2020)
Marta Varela, Sandro F. Queirós, Mustafa Anjari, Teresa Correia, Andrew P. King, Anil A. Bharath, Jack Lee
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol. EMBC (2020)
Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. M&Ms and EMIDEC/STACOM@MICCAI (2020)
Katarína Tóthová, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antón, Andrew P. King, Marc Pollefeys, Ender Konukoglu
Probabilistic 3D Surface Reconstruction from Sparse MRI Information. MICCAI (1) (2020)
Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR (2020)
Refik Soyak, Ebru Navruz, Eda Ozgu Ersoy, Gastão Cruz, Claudia Prieto, Andrew P. King, Devrim Ünay, Ilkay Öksüz
Channel Attention Networks for Robust MR Fingerprinting Matching. CoRR (2020)
Zhen Yuan, Esther Puyol-Antón, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. ASMUS/PIPPI@MICCAI (2020)
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
In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning. Comput. Biol. Medicine 125 (2020)
Christopher J. Arthurs, Andrew P. King
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations. CoRR (2020)
James R. Clough, Daniel R. Balfour, Gastão Cruz, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King
Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets. IEEE Trans. Pattern Anal. Mach. Intell. 42 (4) (2020)
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks. ISBI (2019)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
Topology-preserving augmentation for CNN-based segmentation of congenital heart defects from 3D paediatric CMR. CoRR (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR (2019)
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
Global and Local Interpretability for Cardiac MRI Classification. CoRR (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology. IPMI (2019)
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
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. 55 (2019)
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI (2019)
Jo Schlemper, Ilkay Öksüz, James R. Clough, Jinming Duan, Andrew P. King, Julia A. Schnabel, Joseph V. Hajnal, Daniel Rueckert
dAUTOMAP: decomposing AUTOMAP to achieve scalability and enhance performance. CoRR (2019)
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
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. CoRR (2019)
James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) (2019)
Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR (2019)
Rebekka Schleier, Jana M. Iverson, Andrew P. King, Meredith J. West
. J. Soc. Struct. 20 (1) (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. CoRR (2019)
Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. SUSI/PIPPI@MICCAI (2019)
Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) (2019)
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
Mechanically Powered Motion Imaging Phantoms: Proof of Concept. EMBC (2019)
James R. Clough, Ilkay Öksüz, Nicholas Byrne, Julia A. Schnabel, Andrew P. King
Explicit topological priors for deep-learning based image segmentation using persistent homology. CoRR (2019)
Esther Puyol-Antón, Bram Ruijsink, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. 66 (4) (2019)
Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR (2019)
James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. MLCN/DLF/iMIMIC@MICCAI (2018)
Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI (2018)
Eric Kerfoot, James R. Clough, Ilkay Öksüz, Jack Lee, Andrew P. King, Julia A. Schnabel
Left-Ventricle Quantification Using Residual U-Net. STACOM@MICCAI (2018)
Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI (2018)
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
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR (2018)
James R. Clough, Daniel R. Balfour, Paul K. Marsden, Claudia Prieto, Andrew J. Reader, Andrew P. King
MRI slice stacking using manifold alignment and wave kernel signatures. ISBI (2018)
Ilkay Öksüz, Gastão Cruz, James R. Clough, Aurélien Bustin, Nicolo Fuin, René M. Botnar, Claudia Prieto, Andrew P. King, Julia A. Schnabel
Magnetic Resonance Fingerprinting using Recurrent Neural Networks. CoRR (2018)
Daniel R. Balfour, James R. Clough, Xin Chen, Martin A. Belzunce, Claudia Prieto, Paul K. Marsden, Andrew J. Reader, Andrew P. King
PET-MR respiratory signal estimation using semi-supervised manifold alignment. ISBI (2018)
Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR (2018)

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Andrew P. King