Personal profile
Research interests
Dr. Zhang's research is focusing on computational modelling, pattern recognition, and machine learning for biomedical imaging and data analysis. His research aims to add understanding and capability in biomedicine by drawing on ideas from medical imaging, computer vision, data science, and machine learning. Much of his work focusses on Cardiac Magnetic Resonance Image Analysis, Multi-Modality Neuroimage Analysis, and Retinal Fundus Image Analysis. His research has been published in top conferences and journals in the fields of machine learning and medical image analysis, including NeurIPS, MICCAI, Medical Image Analysis and Patten Recognition, and nominated for the MICCAI Young Scientist Award in 2019.
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting
Tao, T., Wang, Z., Zhang, H., Arvanitis, T. N. & Zhang, L., 12 May 2025, 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 4 p. 10980990. (International Symposium on Biomedical Imaging).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile57 Downloads (Pure) -
DiffuSeg: Domain-driven Diffusion for Medical Image Segmentation
Zhang, L., Wu, F., Bronik, K. & Papież, B. W., 7 Jan 2025, (E-pub ahead of print) In: IEEE Journal of Biomedical and Health Informatics . p. 1-14 14 p., 10830519.Research output: Contribution to journal › Article › peer-review
Open AccessFile95 Downloads (Pure) -
Effectiveness of Disease-Modifying Therapies in Patients With Late-Onset Relapsing-Remitting Multiple Sclerosis
Al-Araji, S., Moccia, M., Jha, A., Zhang, L., Eshaghi, A., Kanber, B., Bianchi, A., Yam, C., Abdel-Mannan, O., Goodkin, O., Pontillo, G., Hamed, W., Mohamud, S., J. Brownlee, W., Chard, D. T., Chataway, J., Chung, K., De Angelis, F., Hammam, A. & Hacohen, Y. & 12 others, , 26 Aug 2025, In: Neurology. 105, 4, 11 p., e213967.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Generative Machine Learning Models in Medical Image Computing
Zhang, L. (Editor), Chen, C. (Editor), Li, Z. (Editor) & Slabaugh, G. (Editor), 19 Apr 2025, 1 ed. Springer. 384 p.Research output: Book/Report › Book
-
Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction
Liu, J., Zhang, L., Ding, Y., Tiwari, P., Guo, X. & Ding, W., 27 Oct 2025, (E-pub ahead of print) In: IEEE Transactions on Emerging Topics in Computational Intelligence. 16 p.Research output: Contribution to journal › Article › peer-review
Prizes
-
-
EPSRC summer intern studentship
Zhang, L. (Recipient), 2024
Prize: Prize (including medals and awards)
-
Research Kick Starter Grant #1
Zhang, L. (Recipient), Mar 2025
Prize: Prize (including medals and awards)
-
Research Kick Starter Grant #2
Zhang, L. (Recipient), Mar 2025
Prize: Prize (including medals and awards)