Andrew Peter King
King's College London
Research areas: Medicine · Radiology, Nuclear Medicine and Imaging · Medical Image Segmentation Techniques · Cardiac Imaging and Diagnostics · Advanced Radiotherapy Techniques
0000-0002-9965-7015
About
Andrew King is a Professor in Medical Image Analysis in the School of Biomedical Engineering and Imaging Sciences at King’s College London. Dr King received a PhD degree in Computer Science from Warwick University in 1997 under the supervision of Professor Roland Wilson. From 2001-2005 he worked as an Assistant Professor in the Computer Science department at Mekelle University in Northern Ethiopia. Since 2006 he has worked at King’s College London, focusing on image analysis and AI in medical imaging. His research focuses on a range of methods and applications but he has a particular interest in trustworthy AI and algorithmic fairness for medical image analysis.
Employment
Education
Education history is unavailable.
Projects & Funding
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Statistical Motion Atlases for Standardized Heart Function Analysis across Multi-Modal Imaging Engineering and Physical Sciences Research Council2024 - 2028
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Contrast-free Deep Myocardial Tissue Characterization with Cardiac MR Fingerprinting Engineering and Physical Sciences Research Council2021 - 2024
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Multidimensional and Multiparametric Quantitative Cardiac MRI from Continuous Free-Breathing Acquisition Engineering and Physical Sciences Research Council2017 - 2022
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Efficient and Robust Assessment of Cardiovascular Disease Using Machine Learning and Ultrasound Imaging Engineering and Physical Sciences Research Council2017 - 2020
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SmartHeart: Next-generation cardiovascular healthcare via integrated image acquisition, reconstruction, analysis and learning Engineering and Physical Sciences Research Council2016 - 2022
Publications (145)
- Confidence Matters: Uncertainty Quantification and Precision Assessment of Deep Learning-Based CMR Biomarker Estimates Using Scan-Rescan Data Save
- Strenuous physical activity is associated with a younger age of amyotrophic lateral sclerosis onset in two independent cohorts Save
- Comparison of Loss Functions for Robust Deep Learning-based Echocardiography Segmentation when Learning with Partially Labelled Data from Multiple Domains Save
- Multi-institutional Normal Tissue Complication Probability (NTCP) Prediction Model for Mandibular Osteoradionecrosis Save
- Personalized MR-Informed Diffusion Models for 3-D PET Image Reconstruction Save
- AI-Assisted MI diagnosis from echocardiogram videos Save
- Deep Learning-Based Fetal Lung Segmentation and Lung Development Evaluation from Diffusion-Weighted Mri Images Save
- Enhanced Stroke Risk Stratification of Atrial Fibrillation Patients Using Explainable Machine Learning Save
- Implicit Neural Representations of Intramyocardial Motion and Strain Save
- Supervised Diffusion-Model-Based PET Image Reconstruction Save
- Understanding-informed Bias Mitigation for Fair CMR Segmentation Save
- An investigation of race bias in deep learning-based segmentation of prostate MRI images Save
- Sex-specific body fat distribution predicts cardiovascular ageing Save
- A streamlined CMR-derived machine-learning model for estimating cardiovascular biological age Save
- Evaluation of domain shift sources and generalisability in AI-based prostate MRI autocontouring for radiotherapy Save
- RT-HaND_C Save
- Artificial Intelligence–Assisted Image Extraction in Neonatal Echocardiography for Congenital Heart Disease Diagnosis in Sub-Saharan Africa: Protocol for Model Development Save
- Left ventricular geometry, brain architecture, and cognition Save
- Real-world performance evaluation of commercial autocontouring software for head and neck cancer radiotherapy Save
- DeepSPV: A deep learning pipeline for 3D spleen volume estimation from 2D ultrasound images Save