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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

Joint Modelling Histology and Molecular Markers for Cancer Classification
X Wang, H Liu, Y Zhang, B Zhao, H Duan, W Hu, Y Mou, S Price, C Li
(2025)
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
Knowledge-Driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Y Zhang, X Wang, F Meng, J Tang, C Li
– Lecture Notes in Computer Science
(2024)
15004,
263
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
H Chen, H Zhang, UW Chan, R Yin, X Wang, C Li
– Lecture Notes in Computer Science
(2024)
15181,
41
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
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
H Hu, H Zhang, C Li
– Lecture Notes in Computer Science
(2024)
15002 LNCS,
119
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
R Yan, CB Schönlieb, C Li
– Lecture Notes in Computer Science
(2024)
15002,
411
Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis
J Zhang, R Yan, A Perelli, X Chen, C Li
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2024)
15002 LNCS,
345
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Research Group

Centre for Mathematical Imaging in Healthcare

Room

F0.13