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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

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,
1
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,
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
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, C Li
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2023)
14226 LNCS,
551
CoLa-Diff: Conditional Latent Diffusion Model for Multi-modal MRI Synthesis
L Jiang, Y Mao, X Wang, X Chen, C Li
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2023)
14229,
398
Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, C Li
(2023)
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
(2023)
CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis
L Jiang, Y Mao, X Chen, X Wang, C Li
(2023)
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation
C Li, W Huang, X Chen, Y Wei, L Zhang, J Zhang, S Price, CB Schonlieb
– Proceedings - International Symposium on Biomedical Imaging
(2023)
2023-April,
1
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients.
Y Wei, C Li, Z Cui, RC Mayrand, J Zou, ALKC Wong, R Sinha, T Matys, C-B Schönlieb, SJ Price
– Brain : a journal of neurology
(2022)
146,
1714
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Research Group

Centre for Mathematical Imaging in Healthcare