Scholar
Andrew P King
Google Scholar ID: mA_tZpMAAAAJ
King's College London
Citations & Impact
Citations
4,782
H-index
34
i10-index
90
Publications
20
Co-authors
25
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple research papers on fairness issues in AI for medical image processing, such as 'Invisible Attributes, Visible Biases: Exploring Demographic Shortcuts in MRI-Based Alzheimer’s Disease Classification'. Also, a keynote speaker at various international conferences.
Research Experience
- Led or participated in several projects including AI-based toxicity prediction in radiotherapy, automated spleen segmentation from ultrasound, topology-informed segmentation, and cardiac functional quantification. Additionally, involved in developing machine learning solutions for other clinical applications such as radiotherapy and vocal tract imaging.
Background
- Andrew King is a member of the Motion Modelling and Analysis Group (MMAG) within the School of Biomedical Engineering and Imaging Sciences at King's College London. The group focuses on using artificial intelligence, specifically machine and deep learning, to analyze medical imaging data for extracting clinically useful information.
Miscellany
- The MMAG, based at St. Thomas' Hospital in central London, emphasizes the importance of an inclusive research environment, encouraging researchers from diverse backgrounds to thrive together.
