Andrew P. King

Sex-specific body fat distribution predicts cardiovascular ageing

Computer-aided prognosis of tuberculous meningitis combining imaging and non-imaging data

Environmental and genetic predictors of human cardiovascular ageing

Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images

An artificial intelligence tool for automated analysis of large-scale unstructured clinical cine cardiac magnetic resonance databases

Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation

Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation

A multimodal deep learning model for cardiac resynchronisation therapy response prediction

Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices

Active training of physics-informed neural networks to aggregate and interpolate parametric solutions to the Navier-Stokes equations

A Topological Loss Function for Deep-Learning Based Image Segmentation Using Persistent Homology

A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography

Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

Left-Ventricle Quantification Using Residual U-Net

Fully Automated, Quality-Controlled Cardiac Analysis From CMR

Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology

Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space

Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients

Fully automated myocardial strain estimation from cine MRI using convolutional neural networks

Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data

A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: Application to cardiac resynchronisation therapy response prediction

Estimation of passive and active properties in the human heart using 3D tagged MRI

High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment

Information Processing in Medical Imaging (IPMI)

The effect of regularization in motion compensated PET image reconstruction: a realistic numerical 4D simulation study

Respiratory motion models: A review

Nonrigid Motion Modeling of the Liver From 3-D Undersampled Self-Gated Golden-Radial Phase Encoded MRI