Projects per year
Personal profile
Biography
Dr. YingLiang Ma is the head of the Visual Computing Research Group. He also holds a Visiting Senior Lecturer position in the School of Biomedical Engineering & Imaging Sciences at King’s College London. He has a PhD in Computer Science from University of Manchester and he is the president of the special interest group, Cardiac-SIG, in MICCAI. 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.
Grants
1. Royal Society International Exchanges Cost Share (NSFC) (PI), Value: £24,000, Duration: 01/07/2026 - 30/06/2028
2.MRC IAA Elevate Award (PI), Value: £24,860, Duration: 01/05/2026 - 30/03/2027
3. AHRC impact fund (Co-PI), Value: £23,646, FILM50: The Future(s) of Screen Heritage, Duration: 01/04/2026 - 31/10/2027
4. AHRC impact fund (Co-PI), Value: £11,248, Level-of-Detail Digitization of High Ceilings in Virtual Reality, Duration: 31/03/2025 - 31/03/2026
5. MRC impact fund (PI), Value: £44,669, Duration: 01/08/2024 - 31/01/2026
6. EPSRC Grant (EP/X023826/1, PI). Value: £279,504. Duration: 01/10/2023 - 15/11/2025. Title: Three-dimensional hybrid guidance system for cardiac interventional procedures.
7. 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.
8. 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
Membership
President of the special interest group, Cardiac-SIG, in MICCAI
EPSRC Peer-review College
European Society of Cardiology, Working Group: e-Cardiology
Role
Director of Innovation, School of Computing Sciences
External positions
Visiting Senior Lecturer Position, King's College London
2025 → 2028
Honorary Lecturer, King's College London
2016 → 2024
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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Automated Whole-Heart Segmentation from Multi-View Medical Images
Ma, Y. (Principal Investigator)
1/01/26 → 30/06/28
Project: Research
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Digital Preservation and Immersive Heritage
Wang, C. (Principal Investigator), Roebuck, T. (Co-Investigator), Laycock, S. (Co-Investigator) & Ma, Y. (Co-Investigator)
31/03/25 → 31/03/26
Project: Internal Funding › AHRC IAA Fund
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Three-dimensional hybrid guidance system for cardiac interventional procedures
Ma, Y. (Principal Investigator)
1/08/24 → 31/07/25
Project: Internal Funding › MRC IAA Fund
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Use deep learning techniques to monitor the progress of high pressure cutting
Ma, Y. (Principal Investigator)
3/06/24 → 30/08/24
Project: Internal Funding › Knowledge Exchange +
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Three-dimensional hybrid guidance system for cardiac interventional procedures
Ma, Y. (Principal Investigator)
Engineering and Physical Sciences Research Council
1/10/23 → 15/11/25
Project: Research
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Comprehensive Analysis and Computing of Real-World Medical Images
Zhuang, X., Ding, W., Ma, Y. & Zhao, J., Jun 2026, Lecture Notes in Computer Science . Springer, Vol. 16257.Research output: Chapter in Book/Report/Conference proceeding › Chapter
Open Access -
Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
Xi, L., Ma, Y. & Zhuang, X., Aug 2026, In: Neural Networks. 200, 108808.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
Xi, L., Ma, Y. & Zhuang, X., 2 Jan 2026.Research output: Working paper › Preprint
File6 Downloads (Pure) -
MoE-based Feature Adapter for Prompt-free Binary Coronary Artery Segmentation in X-ray Angiography
Xi, L. & Ma, Y., 25 Aug 2026.Research output: Working paper › Preprint
File3 Downloads (Pure) -
Robust Noisy Pseudo-Label Learning for Semi-supervised Medical Image Segmentation Using Diffusion Model
Xi, L., Ma, Y., Wang, C., Howell, S., Rinaldi, A. & Rhode, K. S., 2026, Deep Generative Models: 5th MICCAI Workshop, DGM4MICCAI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer, p. 12-23 12 p. (Lecture Notes in Computer Science; vol. 16128).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Activities
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Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop
Ma, Y. (Organiser)
27 Sept 2026Activity: Participating in or organising an event › Participation in workshop or seminar
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Comprehensive Analysis & computing of REal-world medical images (CARE2026)
Ma, Y. (Organiser)
27 Sept 2026Activity: Participating in or organising an event › Participation in workshop or seminar
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ICADAA- International Conference on AI and Data Science Applications and Advances
Ma, Y. (Organiser)
24 Nov 2025Activity: Participating in or organising an event › Participation in conference
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Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop
Ma, Y. (Organiser)
27 Sept 2025Activity: Participating in or organising an event › Participation in workshop or seminar
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Statistical Atlases and Computational Modeling of the Heart (STACOM) workshop in MICCAI
Ma, Y. (Organiser)
27 Jul 2025Activity: Participating in or organising an event › Workshop with external stakeholders/organisations