Research output per year
Research output per year
Personal profile
Research interests (short)
Machine learning, medical image analysis, fair AI
Biographical details
Dr King received a BSc. (Hons) degree in Computer Science from Manchester University in 1989, an MSc. (with distinction) in Cognition, Computing and Psychology from Warwick University in 1992, and a PhD degree in Computer Science from Warwick University in 1997. He has been a postdoctoral researcher with the Computational Imaging Sciences Group and the Division of Imaging Sciences at King’s College London, working mainly on registration, image-guided interventions and soft-tissue modelling. 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 in the School of Biomedical Engineering and Imaging Sciences at King's.
Research interests
Dr King's research focuses primarily on the use of machine learning and image analysis techniques to problems in medicine. A strong focus is on cardiac imaging, including cardiac MR and echocardiography. Work in this area has involved automated estimation of biomarkers for stratification of patients as well as automated diagnosis. Dr King has a strong interest in bias and fairness in artificial intelligence (AI), and how fair AI techniques can be developed and adapted to the medical context..
Education
Dr King is also an active teacher and has taught a wide range of computing subjects to undergraduate students. He currently teaches computing courses to students working in the biomedical sciences and has published three textbooks related to this area.
MATLAB Programming for Biomedical Engineers and Scientists, 2nd Edition - Elsevier Book Page
MATLAB Programming for Biomedical Engineers and Scientists, 1st Edition - Elsevier Book Page
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of Warwick
Award Date: 1 Jan 1996
Cognition, Computing and Psychology, Master of Science, University of Warwick
Award Date: 1 Jan 1992
Computer Science, Bachelor of Science, University of Manchester
Award Date: 1 Jan 1989
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR
Byrne, N., Clough, J. R., Valverde, I., Montana, G. & King, A. P., 31 Aug 2022, (E-pub ahead of print) In: IEEE Transactions on Medical Imaging. PPResearch output: Contribution to journal › Article › peer-review
Open Access -
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology
Clough, J., Byrne, N., Oksuz, I., Zimmer, V., Schnabel, J. & King, A., 4 Sept 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence.Research output: Contribution to journal › Article › peer-review
File39 Citations (Scopus)101 Downloads (Pure) -
Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-based Segmentation
Puyol-Anton, E., Ruijsink, B., Mariscal Harana, J., Piechnik, S. K., Neubauer, S., Petersen, S. E., Razavi, R., Chowienczyk, P. & King, A. P., 7 Apr 2022, In: Frontiers in Cardiovascular Medicine. 9, 859310.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)72 Downloads (Pure) -
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
Ruijsink, J. B., Puyol Anton, E., Oksuz, I., Sinclair, M., Bai, W., Schnabel, J. A., Razavi, R. & King, A. P., 2019, In: JACC Cardiovascular Imaging. 13, 3, p. 684-695Research output: Contribution to journal › Article › peer-review
Open AccessFile78 Citations (Scopus)159 Downloads (Pure) -
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Oksuz, I., Ruijsink, J. B., Puyol Anton, E., Clough, J. R., Lima da Cruz, G. J., Bustin, A., Prieto Vasquez, C., Botnar, R. M., Rueckert, D., Schnabel, J. A. & King, A. P., 1 Jul 2019, In: Medical Image Analysis. 55, p. 136-147 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile50 Citations (Scopus)132 Downloads (Pure)
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Wellcome/EPSRC Centre for Medical Engineering Extension
Ourselin, S., Barker, G., Barnes, A., Barrington, S., Bergeles, C., Bishop, M., Blower, P., Booth, T., Botnar, R., Cardoso, J., Carmichael, D., Chiribiri, A., Cook, G., Counsell, S., Dasgupta, P., De Vecchi, A., De Vita, E., Edwards, D., Goh, V., Hajnal, J., Hammers, A., Hutter, J., Ipek, O., King, A., Lamata de la Orden, P., Liu, H., Malik, S., Marsden, P., Modat, M., Niederer, S., Razavi, R., Reader, A., Rhode, K., Roujol, S., Rutherford, M., Shapey, J., Sparks, R., T. M. de Rosales, R., Terry, S., Tournier, J., Vercauteren, T., Williams, S., Xia, W., Young, A. & academic, A.
28/04/2022 → 27/10/2024
Project: Research
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Automating analysis and interpretation of Cardiac MR using Quality-Controlled AI
Puyol Anton, E., King, A., Razavi, R. & Ruijsink, B.
EPSRC IAA - Advancing Impact Award - Internal Fund
1/07/2020 → 31/01/2022
Project: Research
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Automatic prenatal diagnostic tool for congenital heart disease using MRI and artificial intelligence approaches
Deprez, M., Pushparajah, K. & King, A.
1/03/2020 → 31/08/2023
Project: Research
Activities
- 2 Types of Public engagement and outreach - Media article or participation
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Blog post on fairness in AI for medical imaging
Andrew King (Reviewer)
2022Activity: Other › Types of Public engagement and outreach - Media article or participation
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Podcast on fair AI for medicine
Andrew King (Reviewer)
2022Activity: Other › Types of Public engagement and outreach - Media article or participation