Projects per year
Dr. YingLiang Ma has a PhD in Computer Science from University of Manchester. Dr. Ma’s research areas mainly lie in the development of novel computer vision and computational geometric algorithms as well as applications in medical image analysis, image-guided surgery and procedure risk assessment. As a Principal Investigator (PI) or Co-PI, Dr Ma has been conducting research in relation to Computer Vision/Machine Learning/AI and parallel computing funded by EPSRC and NIHR. He has been invited to give a number of talks in national and international institutions.
1. EPSRC Grant (EP/X023826/1, PI). Value: £279,504. Duration: 01/10/2023 - 30/09/2025. Title: Three-dimensional hybrid guidance system for cardiac interventional procedures.
2. NIHR grant (II-LB-0814-20001, Co-I). Value: £400,719. Duration: 01/10/2015 - 30/09/2018. Title: MRI-augmented guidance for X-ray fluoroscopic paediatric cardiovascular interventions.
3. EU - ERASMUS+ (Co-I). Value: €237,940. Duration: 01/10/2020 – 31/12/2022. Title: Virtual Reality for Augmenting Creativity and Effectiveness of School Training
EPSRC Peer-review College
European Society of Cardiology, Working Group: e-Cardiology
Visiting Lecturer, King's College London
2022 → 2024
Honorary Lecturer, King's College London
2016 → 2018
Collaborations and top research areas from the last five years
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- 1 Active
Automated lead detection and chest X-ray features significantly improve ability of machine learning models to predict risk of major adverse events related to transvenous lead extractionMehta, V. S., Ma, Y., Wijesuriya, N., DeVere, F., Elliott, M. K., Niederer, S. A., Razavi, R. & Rinaldi, C. A., 19 May 2023, In: Heart Rhythm. 20, 5 Supplement, p. S86 1 p., CI-452770-2.
Research output: Contribution to journal › Abstract
Automatic Detection of Coil Position in the Chest X-ray Images for Assessing the Risks of Lead ExtractionMa, Y., Mehta, V. S., Rinaldi, C. A., Hu, P., Niederer, S. & Razavi, R., 1 May 2023, (Accepted/In press) Lecture Notes in Computer Sciences. Springer
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Diabetic Retinopathy Detection Using Transfer and Reinforcement Learning with Effective Image Preprocessing and Data Augmentation TechniquesTariq, M., Palade, V., Ma, Y. & Altahhan, A., 7 Feb 2023, Fusion of Machine Learning Paradigms. Hatzilygeroudis, I. K., Tsihrintzis, G. A. & Jain, L. C. (eds.). Springer, Vol. 236. p. 33-61 29 p. (Intelligent Systems Reference Library; vol. 236).
Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review3 Citations (Scopus)
Hu, P., Dai, X., Zhao, R., Wang, H., Ma, Y. & Munteanu, A., 9 Jun 2023, In: IEEE Transactions on Instrumentation and Measurement. 72, 5502812.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Downloads (Pure)
Ma, Y., Zhou, D., Ye, L., Housden, R. J., Fazili, A. & Rhode, K. S., 1 Feb 2022, In: IEEE Transactions on Biomedical Engineering. 69, 2, p. 635-644 10 p.
Research output: Contribution to journal › Article › peer-reviewOpen Access2 Citations (Scopus)
19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Yingliang Ma (Member of programme committee)27 Feb 2024 → 29 Feb 2024
Activity: Participating in or organising an event › Participation in conference
Yingliang Ma (Member)17 Jun 2023 → 17 Jun 2026
Activity: Membership › Industry panel or group