Publications
2025
Z Li$^{1}$, Y Wang$^{1}$, S Farsiu, P Kinahan. Boosting Medical Visual Understanding From Multi-Granular Language Learning. arXiv preprint arXiv:2511.15943. 2025 Nov 20. Paper Code
J Ong, M Lu, C Thanitcul, M Pawar, JN Hart, E Vogt, S Farsiu, Y Wang, P Dmitriev, A Gupta, N Nallasamy \& MA Woodward. Automated Deep Learning Classification of the Quality of Slit-Lamp Photographs of Microbial Keratitis. Investigative Ophthalmology & Visual Science, 66(8), 4436-4436. Paper
Z Yang, MA Woodward, LM Niziol, M Pawar, NV Prajna, A Krishnamoorthy, Y Wang, M Lu, S Selvaraj, & S Farsiu. Self-knowledge distillation-empowered directional connectivity transformer for microbial keratitis biomarkers segmentation on slit-lamp photography. Medical Image Analysis, 102, 103533. Paper Code
2023
M Chen1, Y Wang1, Y Shi1, J Feng, R Feng, X Guan, … & H Wei. Brain Age Prediction Based on Quantitative Susceptibility Mapping Using the Segmentation Transformer. IEEE Journal of Biomedical and Health Informatics. Paper Code
Y Wang1, Z Li1, J Mei1, Z Wei1, L Liu, C Wang, … & Y Zhou. SwinMM: Masked Multi-view with Swin Transformers for 3d Medical Image Segmentation. 2023 International Conference on Medical Image Computing and Computer-Assisted Intervention. (pp. 486-496). Cham: Springer Nature Switzerland. Paper Code
Y Wang, Y Shi, H Wei. A Brain Age Estimation Network based on QSM using the Segment Transformer. 2023 International Society for Magnetic Resonance in Medicine (ISMRM). Link