Andrew P. King
Orcid: 0000-0002-9965-7015
According to our database1,
Andrew P. King
authored at least 153 papers
between 1999 and 2024.
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Bibliography
2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.
CoRR, 2024
2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Medical Image Anal., August, 2023
A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR.
IEEE Trans. Medical Imaging, 2023
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.
CoRR, 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.
CoRR, 2023
CoRR, 2023
CoRR, 2023
A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech.
Biomed. Signal Process. Control., 2023
Effects of Fibrotic Border Zone on Drivers for Atrial Fibrillation: An In-Silico Mechanistic Investigation.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
Addressing Deep Learning Model Calibration Using Evidential Neural Networks and Uncertainty-Aware Training.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
An Investigation into Race Bias in Random Forest Models Based on Breast DCE-MRI Derived Radiomics Features.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2022
IEEE Trans. Biomed. Eng., 2022
A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
A multimodal deep learning model for cardiac resynchronisation therapy response prediction.
Medical Image Anal., 2022
A Machine Learning Case Study for AI-empowered echocardiography of Intensive Care Unit Patients in low- and middle-income countries.
CoRR, 2022
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis.
CoRR, 2022
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
CoRR, 2022
Biomed. Signal Process. Control., 2022
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Prediction of Mandibular ORN Incidence from 3D Radiation Dose Distribution Maps Using Deep Learning.
Proceedings of the Applications of Medical Artificial Intelligence, 2022
Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
Impact of Fibrosis Border Zone Characterisation on Fibrosis-Substrate Isolation Ablation Outcome for Atrial Fibrillation.
Proceedings of the Computing in Cardiology, 2022
2021
Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations.
J. Comput. Phys., 2021
A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR.
CoRR, 2021
Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech.
Comput. Methods Programs Biomed., 2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
IEEE Trans. Medical Imaging, 2020
Weighted Manifold Alignment using Wave Kernel Signatures for Aligning Medical Image Datasets.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.
CoRR, 2020
In-silico pace-mapping using a detailed whole torso model and implanted electronic device electrograms for more efficient ablation planning.
Comput. Biol. Medicine, 2020
Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
A Persistent Homology-Based Topological Loss Function for Multi-class CNN Segmentation of Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Strain maps of the left atrium imaged with a novel high-resolution CINE MRI protocol.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Transitivity Types Predict Communicative Abilities in Infants at Risk of Autism<sup>*</sup>.
J. Soc. Struct., February, 2019
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.
IEEE Trans. Biomed. Eng., 2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal., 2019
CoRR, 2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR, 2019
High-quality segmentation of low quality cardiac MR images using k-space artefact correction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology.
Proceedings of the Information Processing in Medical Imaging, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Myocardial strain computed at multiple spatial scales from tagged magnetic resonance imaging: Estimating cardiac biomarkers for CRT patients.
Medical Image Anal., 2018
Proceedings of the Shape in Medical Imaging, 2018
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning.
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
IEEE Trans. Medical Imaging, 2017
IEEE Trans. Biomed. Eng., 2017
Medical Image Anal., 2017
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., 2017
Medical Image Anal., 2017
Fully Automated Segmentation-Based Respiratory Motion Correction of Multiplanar Cardiac Magnetic Resonance Images for Large-Scale Datasets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
Efficient Deformable Motion Correction for 3-D Abdominal MRI Using Manifold Regression.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2016
Dynamic Volume Reconstruction from Multi-slice Abdominal MRI Using Manifold Alignment.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Interventional digital tomosynthesis from a standard fluoroscopy system using 2D-3D registration.
Medical Image Anal., 2015
Respiratory Motion Modelling Using Supervised Principal Component Analysis.
Proceedings of the Medical Image Understanding and Analysis, 2015
Remapping of digital subtraction angiography on a standard fluoroscopy system using 2D-3D registration.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Prospective Identification of CRT Super Responders Using a Motion Atlas and Random Projection Ensemble Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015
Proceedings of the Information Processing in Medical Imaging, 2015
Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects.
Proceedings of the Functional Imaging and Modeling of the Heart, 2015
2014
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features.
Medical Image Anal., 2014
High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment.
Medical Image Anal., 2014
Image-Based View-Angle Independent Cardiorespiratory Motion Gating for X-ray-Guided Interventional Electrophysiology Procedures.
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
Proceedings of the Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2013
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions.
Medical Image Anal., 2013
Extraction of Cardiac and Respiratory Motion Information from Cardiac X-Ray Fluoroscopy Images Using Hierarchical Manifold Learning.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013
A framework for automatic model-driven 2D echocardiography acquisition for robust respiratory motion estimation in image-guided cardiac interventions.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Groupwise Simultaneous Manifold Alignment for High-Resolution Dynamic MR Imaging of Respiratory Motion.
Proceedings of the Information Processing in Medical Imaging, 2013
Three-Modality Registration for Guidance of Minimally Invasive Cardiac Interventions.
Proceedings of the Functional Imaging and Modeling of the Heart, 2013
2012
Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI.
IEEE Trans. Medical Imaging, 2012
Clinical Evaluation of Respiratory Motion Compensation for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures.
IEEE Trans. Biomed. Eng., 2012
Thoracic respiratory motion estimation from MRI using a statistical model and a 2-D image navigator.
Medical Image Anal., 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Hierarchical adaptive local affine registration for fast and robust respiratory motion estimation.
Medical Image Anal., 2011
Capturing breathing motion variability using two signal motion models of the heart.
Proceedings of the Medical Image Understanding and Analysis, 2011
Assessment of input signal positioning for cardiac respiratory motion models during different breathing patterns.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
Comparing Image-Based Respiratory Motion Correction Methods for Anatomical Roadmap Guided Cardiac Electrophysiology Procedures.
Proceedings of the Functional Imaging and Modeling of the Heart, 2011
2010
Registering Preprocedure Volumetric Images With Intraprocedure 3-D Ultrasound Using an Ultrasound Imaging Model.
IEEE Trans. Medical Imaging, 2010
Respiratory motion correction for image-guided cardiac interventions using 3-D echocardiography.
Medical Image Anal., 2010
Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images.
Proceedings of the Biomedical Image Registration, 4th International Workshop, 2010
Real-Time Respiratory Motion Correction for Cardiac Electrophysiology Procedures Using Image-Based Coronary Sinus Catheter Tracking.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
Hierarchical adaptive local affine registration for respiratory motion estimation from 3-D MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
2009
An Adaptive and Predictive Respiratory Motion Model for Image-Guided Interventions: Theory and First Clinical Application.
IEEE Trans. Medical Imaging, 2009
A subject-specific technique for respiratory motion correction in image-guided cardiac catheterisation procedures.
Medical Image Anal., 2009
Echocardiography to magnetic resonance image registration for use in image-guide electrophysiology procedures.
Proceedings of the Medical Imaging 2009: Visualization, 2009
Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model.
Proceedings of the Information Processing in Medical Imaging, 2009
2008
Time-varying Image Data Visualization Framework for Application in Cardiac Catheterization Procedures.
Proceedings of the EG UK Theory and Practice of Computer Graphics, 2008
A novel framework for multi-modal intensity-based similarity measures based on internal similarity.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
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.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Ultrasound calibration using intensity-based image registration: for application in cardiac catheterization procedures.
Proceedings of the Medical Imaging 2008: Visualization, 2008
A technique for respiratory motion correction in image guided cardiac catheterisation procedures.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Validation of the use of photogrammetry to register pre-procedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures.
Proceedings of the Medical Imaging 2008: Visualization, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
2007
Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007
2005
Alignment of sparse freehand 3-D ultrasound with preoperative images of the liver using models of respiratory motion and deformation.
IEEE Trans. Medical Imaging, 2005
2004
Tracking alignment of sparse ultrasound with preoperative images of the liver and an interventional plan using models of respiratory motion and deformation.
Proceedings of the Medical Imaging 2004: Visualization, 2004
2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
Estimating Sparse Deformation Fields Using Multiscale Bayesian Priors and 3-D Ultrasound.
Proceedings of the Information Processing in Medical Imaging, 2001
2000
Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI).
IEEE Trans. Medical Imaging, 2000
Presence Teleoperators Virtual Environ., 2000
Bayesian Estimation of Intra-operative Deformation for Image-Guided Surgery Using 3-D Ultrasound.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000
1999
Design and Evaluation of a System for Microscope-Assisted Guided Interventions (MAGI).
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
Registration of Video Images to Tomographic Images by Optimising Mutual Information Using Texture Mapping.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999