Project Details
| Status | Finished |
|---|---|
| Effective start/end date | 1/10/23 → 15/11/25 |
Funding
- Engineering and Physical Sciences Research Council: £274,956.02
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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
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Catheter detection and segmentation in X-ray images via multi-task learning
Xi, L., Ma, Y., Koland, E., Howell, S., Rinaldi, A. & Rhode, K. S., 27 Jun 2025, (E-pub ahead of print) In: International Journal of Computer Assisted Radiology and Surgery. 21, 1, p. 163-173 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
An Enhanced Convolutional Neural Network Based on L1 Regularization for Segmentation of Coronary Arteries in X Ray Angiograms
Wahid, F., Ma, Y., Sheikh, R. & Aamir, M., 21 Mar 2024. 8 p.Research output: Contribution to conference › Paper › peer-review
2 Citations (Scopus)