Andrew King

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King’s College London

United Kingdom

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Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging

Open Date: 2017-11-01

Close Date: 2020-10-31

Articles (23)

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Collaborators (26)

Yuya Mizuno

King's College London

UNITED KINGDOM

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Damien Ming

Imperial College London

UNITED KINGDOM

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Pablo Lamata

Professor and Wellcome Trust Senior Research Fellow

King’s College London

UNITED KINGDOM

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Reza Razavi

King’s College London

UNITED KINGDOM

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Patrick McAllister

Lecturer in Computer Science

University of Ulster

UNITED KINGDOM

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Angela McBride

University of Sussex

UNITED KINGDOM

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Sally Barrington

King’s College London

UNITED KINGDOM

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Wenjia Bai

Imperial College London

UNITED KINGDOM

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Jennifer Ilo Van Nuil

Associate Professor

University of Oxford

UNITED KINGDOM

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Julia Anne Schnabel

King’s College London

UNITED KINGDOM

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David F A Lloyd

King’s College London

UNITED KINGDOM

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Esther Puyol Anton

King’s College London

UNITED KINGDOM

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Thomas Day

King's College London

UNITED KINGDOM

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Giovanni Montana

University of Warwick

UNITED KINGDOM

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Kuberan Pushparajah

King’s College London

UNITED KINGDOM

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Steffen E Petersen

Queen Mary University of London

UNITED KINGDOM

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Anthony Kong

King’s College London

UNITED KINGDOM

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Sophie Yacoub

University of Oxford

UNITED KINGDOM

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Andrew Reader

King’s College London

UNITED KINGDOM

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ye li

King’s College London

UNITED KINGDOM

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Ronald Geskus

University of Oxford

UNITED KINGDOM

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Chang Lu

Imperial College London

UNITED KINGDOM

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Chen Chen

University of Sheffield

UNITED KINGDOM

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Maria Deprez

King’s College London

UNITED KINGDOM

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Alistair Young

King’s College London

UNITED KINGDOM

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Antonio de Marvao

Imperial College London

UNITED KINGDOM

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Andrew King

Research Interests

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Recent Grants

Articles (23)

DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images

Sex-specific body fat distribution predicts cardiovascular ageing

Natural Language Processing to Extract Head and Neck Cancer Data From Unstructured Electronic Health Records

Artificial Intelligence assisted image extraction in neonatal echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development (Preprint)

An investigation into the causes of race bias in artificial intelligence–based cine cardiac magnetic resonance segmentation

Likelihood-Scheduled Score-Based Generative Modeling for Fully 3D PET Image Reconstruction

Personalized MR-Informed Diffusion Models for 3D PET Image Reconstruction

A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis

Clinical evaluation of AI-assisted muscle ultrasound for monitoring muscle wasting in ICU patients

Environmental and genetic predictors of human cardiovascular ageing

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

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

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

A Segmentation-informed Deep Learning Framework to Register Dynamic Two-dimensional Magnetic Resonance Images of the Vocal Tract During Speech

A Persistent Homology-Based Topological Loss for CNN-Based Multiclass Segmentation of CMR

Hemodynamic Determinants of Elevated Blood Pressure and Hypertension in the Middle to Older-Age UK Population: A UK Biobank Imaging Study

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

Effect of synthetic CT on dose-derived toxicity predictors for MR-only prostate radiotherapy

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR

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

Beyond Simpson's Rule

A multimodal deep learning model for cardiac resynchronisation therapy response prediction

Collaborators (26)

Yuya Mizuno

Damien Ming

Pablo Lamata

Reza Razavi

Patrick McAllister

Angela McBride

Sally Barrington

Wenjia Bai

Jennifer Ilo Van Nuil

Julia Anne Schnabel

David F A Lloyd

Esther Puyol Anton

Thomas Day

Giovanni Montana

Kuberan Pushparajah

Steffen E Petersen

Anthony Kong

Sophie Yacoub

Andrew Reader

ye li

Ronald Geskus

Chang Lu

Chen Chen

Maria Deprez

Alistair Young

Antonio de Marvao

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