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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

Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis.
X Tian, H-D Li, H Lin, C Li, Y-P Wang, HX Bai, W Lan, J Liu
– Neural networks : the official journal of the International Neural Network Society
(2025)
187,
107343
Joint modeling 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
– Medical image analysis
(2025)
102,
103505
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)
67,
921
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
– Journal of affective disorders
(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
Computational Mathematics Modeling in Cancer Analysis
(2025)
Group-common and individual-specific effects of structure–function coupling in human brain networks with graph neural networks
P Chen, H Yang, X Zheng, H Jia, J Hao, X Xu, C Li, X He, R Chen, TS Okubo, Z Cui
– Imaging Neuroscience
(2024)
2,
1
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
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
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Research Group

Centre for Mathematical Imaging in Healthcare