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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

Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma
X Wang, S Price, 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)
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution
Y Mao, L Jiang, X Chen, C Li
(2023)
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)
PP,
1
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks
Y Wei, Y Li, X Chen, CB Schönlieb, C Li, SJ Price
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2022)
12962,
140
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
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)
(2022)
12962,
124
Multi-modal learning for predicting the genotype of glioma
Y Wei, X Chen, L Zhu, L Zhang, C-B Schönlieb, SJ Price, C Li
(2022)
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading
L Zhang, Y Wei, Y Fu, S Price, C-B Schönlieb, C Li
(2022)
Predicting conversion of mild cognitive impairment to Alzheimer's disease
Y Wei, SJ Price, C-B Schönlieb, C Li
(2022)
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma
Y Wei, C Li, X Chen, CB Schoinlieb, SJ Price
– 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022)
(2022)
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Research Group

Centre for Mathematical Imaging in Healthcare