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Faculty of Mathematics

 

Dr Chao Li is a Principal Research Fellow with expertise in both healthcare and AI innovation, with comprehensive experience in developing image-based AI and multi-omics approaches to model neurological diseases. Dr Li is particularly interested in developing cost-effective AI models and translating these models into healthcare management to promote personalised medicine. His research is surrounding the below themes: 1. Image-based AI for precision mental health. 2. Image-based AI for precision surgical and interventional oncology. 3. Multi-omics AI for disease characterisation and precision medicine. 4. Efficacy and safety assessment of AI innovations for clinical translation and enterprise.

Publications

Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Y Zhang, X Wang, F Meng, J Tang, C Li
(2024)
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
R Yan, C-B Schönlieb, C Li
(2024)
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
F Meng, H Zhang, R Yan, G Chuai, C Li, Q Liu
(2024)
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis
J Zhang, R Yan, A Perelli, X Chen, C Li
(2024)
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
H Chen, H Zhang, UW Chan, R Yin, X Wang, C Li
(2024)
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
X Wang, X Huang, SJ Price, C Li
(2024)
Brain tumour microstructure is associated with post-surgical cognition
M Aznarez-Sanado, R Romero-Garcia, C Li, RC Morris, SJ Price, T Manly, T Santarius, Y Erez, MG Hart, J Suckling
– Scientific Reports
(2024)
14,
5646
Multi-Modal Learning for Predicting the Genotype of Glioma.
Y Wei, X Chen, L Zhu, L Zhang, C-B Schonlieb, S Price, C Li
– IEEE Trans Med Imaging
(2023)
42,
3167
G-CNN: Adaptive Geometric Convolutional Neural Networks for MRI-Based Skull Stripping
Y Li, C Li, Y Wei, S Price, CB Schönlieb, X Chen
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2023)
14243 LNCS,
21
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2023)
14229,
387
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Research Group

Centre for Mathematical Imaging in Healthcare