Andrew P. King
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
1
Active years
1999–2025
Best venue rank
A
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer's Disease Classification. | Akshit Achara, Esther Puyol-Antn, Alexander Hammers, Andrew P. King |
| 2025 | MICCAI | Implicit Neural Representations of Intramyocardial Motion and Strain. | Andrew Bell, Yan Kit Choi, Steffen E. Petersen, Andrew P. King, Muhummad Sohaib Nazir, Alistair A. Young |
| 2025 | MICCAI | Enhanced Stroke Risk Stratification of Atrial Fibrillation Patients Using Explainable Machine Learning. | Riccardo Cavarra, Shaheim Ogbomo-Harmitt, Paolo Melidoro, Steven Williams, Adelaide de Vecchi, Andrew P. King, Oleg V. Aslanidi |
| 2025 | MICCAI | Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. | Tiarna Lee, Esther Puyol-Antn, Bram Ruijsink, Miaojing Shi, Andrew P. King |
| 2025 | MICCAI | The Impact of Skin Tone Label Granularity on the Performance and Fairness of AI Based Dermatology Image Classification Models. | Partha Shah, Durva Sankhe, Maariyah Rashid, Zakaa Khaled, Esther Puyol-Antn, Tiarna Lee, Maram Alqarni, Sweta Rai, Andrew P. King |
| 2025 | MICCAI | Supervised Diffusion-Model-Based PET Image Reconstruction. | George Webber, Alexander Hammers, Andrew P. King, Andrew J. Reader |
| 2024 | MICCAI | Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. | Iman Islam, Esther Puyol-Antn, Bram Ruijsink, Andrew J. Reader, Andrew P. King |
| 2024 | MICCAI | Improving the Scan-Rescan Precision of AI-Based CMR Biomarker Estimation. | Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antn, Paul Aljabar, Reza Razavi, Andrew P. King |
| 2023 | MICCAI | Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling. | 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 | MICCAI | Automatic Retrieval of Corresponding US Views in Longitudinal Examinations. | 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 Gmez |
| 2022 | MICCAI | Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI. | 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 | MICCAI | Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning. | Laia Humbert-Vidan, Vinod Patel, Robin Andlauer, Andrew P. King, Teresa Guerrero Urbano |
| 2022 | MICCAI | A Study of Demographic Bias in CNN-Based Brain MR Segmentation. | Stefanos Ioannou, Hana Chockler, Alexander Hammers, Andrew P. King |
| 2022 | MICCAI | 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-Antn, Aaron Carass, Andrew P. King |
| 2022 | MICCAI | TESSLA: Two-Stage Ensemble Scar Segmentation for the Left Atrium. | Shaheim Ogbomo-Harmitt, Jakub Grzelak, Ahmed Qureshi, Andrew P. King, Oleg V. Aslanidi |
| 2022 | MICCAI | AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. | Esther Puyol-Antn, 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 |
| 2021 | MICCAI | Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. | Esther Puyol-Antn, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King |
| 2020 | MICCAI | A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI. | Nick Byrne, James R. Clough, Giovanni Montana, Andrew P. King |
| 2020 | MICCAI | Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI. | Ana Loureno, Eric Kerfoot, Connor Dibblin, Ebraham Alskaf, Mustafa Anjari, Anil A. Bharath, Andrew P. King, Henry Chubb, Teresa Correia, Marta Varela |
| 2020 | MICCAI | Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. | Esther Puyol-Antn, 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 | MICCAI | Quality-Aware Semi-supervised Learning for CMR Segmentation. | Bram Ruijsink, Esther Puyol-Antn, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King |
| 2020 | MICCAI | Probabilistic 3D Surface Reconstruction from Sparse MRI Information. | Katarna Tthov, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antn, Andrew P. King, Marc Pollefeys, Ender Konukoglu |
| 2020 | MICCAI | Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. | Zhen Yuan, Esther Puyol-Antn, Haran Jogeesvaran, Catriona Reid, Baba Inusa, Andrew P. King |
| 2019 | MICCAI | Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. | Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King |
| 2019 | MICCAI | Global and Local Interpretability for Cardiac MRI Classification. | James R. Clough, Ilkay ksz, Esther Puyol-Antn, Bram Ruijsink, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. | Ilkay ksz, James R. Clough, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. | Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Ilkay ksz, Daniel Rueckert, Reza Razavi, Andrew P. King |
| 2018 | MICCAI | Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. | James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King |
| 2018 | MICCAI | Left-Ventricle Quantification Using Residual U-Net. | Eric Kerfoot, James R. Clough, Ilkay ksz, Jack Lee, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. | Eric Kerfoot, Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. | Ilkay ksz, James R. Clough, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Ren M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | Ilkay ksz, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. | Esther Puyol-Antn, Bram Ruijsink, Hlne Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors. | Katarna Tthov, Sarah Parisot, Matthew C. H. Lee, Esther Puyol-Antn, Lisa M. Koch, Andrew P. King, Ender Konukoglu, Marc Pollefeys |
| 2017 | MICCAI | Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. | Wenjia Bai, Ozan Oktay, Matthew Sinclair, Hideaki Suzuki, Martin Rajchl, Giacomo Tarroni, Ben Glocker, Andrew P. King, Paul M. Matthews, Daniel Rueckert |
| 2017 | MICCAI | Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression. | Xin Chen, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King |
| 2017 | MICCAI | Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. | Esther Puyol-Antn, Matthew Sinclair, Bernhard Gerber, Mihaela Silvia Amzulescu, Hlne Langet, Mathieu De Craene, Paul Aljabar, Julia A. Schnabel, Paolo Piro, Andrew P. King |
| 2017 | MICCAI | Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. | Bram Ruijsink, Esther Puyol-Antn, Muhammad Usman, Joshua van Amerom, Phuoc Duong, Mari Nieves Velasco Forte, Kuberan Pushparajah, Alessandra Frigiola, David A. Nordsletten, Andrew P. King, Reza Razavi |
| 2017 | MICCAI | Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets. | Matthew Sinclair, Wenjia Bai, Esther Puyol-Antn, Ozan Oktay, Daniel Rueckert, Andrew P. King |
| 2016 | MICCAI | Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment. | Xin Chen, Muhammad Usman, Daniel R. Balfour, Paul K. Marsden, Andrew J. Reader, Claudia Prieto, Andrew P. King |
| 2016 | MICCAI | Image-Based Real-Time Motion Gating of 3D Cardiac Ultrasound Images. | Maria Panayiotou, Devis Peressutti, Andrew P. King, Kawal S. Rhode, Richard James Housden |
| 2016 | MICCAI | Learning Optimal Spatial Scales for Cardiac Strain Analysis Using a Motion Atlas. | Matthew Sinclair, Devis Peressutti, Esther Puyol-Antn, Wenjia Bai, David Nordsletten, Myrianthi Hadjicharalambous, Eric Kerfoot, Tom Jackson, Simon Claridge, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. | Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O'Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert |
| 2015 | MICCAI | Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning. | Devis Peressutti, Wenjia Bai, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2015 | MICCAI | Towards Left Ventricular Scar Localisation Using Local Motion Descriptors. | Devis Peressutti, Wenjia Bai, Wenzhe Shi, Catalina Tobon-Gomez, Thomas Jackson, Manav Sohal, C. Aldo Rinaldi, Daniel Rueckert, Andrew P. King |
| 2014 | MICCAI | Manifold Learning for Cardiac Modeling and Estimation Framework. | Radomr Chabiniok, Kanwal K. Bhatia, Andrew P. King, Daniel Rueckert, Nicolas Smith |
| 2014 | MICCAI | Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures. | 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 |
| 2013 | MICCAI | Interventional Digital Tomosynthesis from a Standard Fluoroscopy System Using 2D-3D Registration. | Mazen Alhrishy, Andreas Varnavas, Tom Carrell, Andrew P. King, Graeme P. Penney |
| 2013 | MICCAI | Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning. | 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 |
| 2010 | MICCAI | Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking. | YingLiang Ma, Andrew P. King, Nicolas Gogin, C. Aldo Rinaldi, Jaswinder S. Gill, Reza Razavi, Kawal S. Rhode |
| 2007 | MICCAI | Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging. | 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 |
| 2001 | MICCAI | A Statistical Model of Respiratory Motion and Deformation of the Liver. | Jane M. Blackall, Andrew P. King, Graeme P. Penney, Andreas N. Adam, David J. Hawkes |
| 2001 | MICCAI | A Stochastic Iterative Closest Point Algorithm (stochastICP). | Graeme P. Penney, Philip J. Edwards, Andrew P. King, Jane M. Blackall, Philipp G. Batchelor, David J. Hawkes |
| 2000 | MICCAI | Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound. | Andrew P. King, Jane M. Blackall, Graeme P. Penney, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes |
| 1999 | MICCAI | Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping. | Matthew J. Clarkson, Daniel Rueckert, Andrew P. King, Philip J. Edwards, Derek L. G. Hill, David J. Hawkes |
| 1999 | MICCAI | Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI). | 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 |