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Department of Applied Mathematics and Theoretical Physics

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

Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder
K He, J Zhang, Y Huang, X Mo, R Yu, J Min, T Zhu, Y Ma, X He, F Lv, J Zeng, C Li, RK McNamara, D Lei, M Liu
– Neuroradiology
(2025)
1
Effects of electroconvulsive therapy on functional connectome abnormalities in adolescents with depression and suicidal ideation.
K He, T Zhu, R Yu, J Zhang, J Min, Y Huang, X Mo, Y Ma, X He, F Lv, J Zeng, C Li, RK McNamara, D Lei, M Liu
– J Affect Disord
(2025)
374,
495
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation
C Liu, Z Qiao, C Li, C-B Schönlieb
– SIAM Journal on Mathematics of Data Science
(2025)
7,
55
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology
H Yi, X Wang, K Li, C Li
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2024)
15181,
1
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
Y Li, C Li, Y Wei, S Price, C-B Schönlieb, X Chen
– Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
(2024)
116,
102420
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Y Zhang, X Wang, F Meng, J Tang, 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)
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
R Yan, C-B Schönlieb, C Li
(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)
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Research Group

Centre for Mathematical Imaging in Healthcare

Room

F0.13