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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

BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification
C Li, Y Wei, X Chen, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
13003 LNCS,
103
Radiological tumour classification across imaging modality and histology
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature Machine Intelligence
(2021)
3,
787
Quantifying structural connectivity in brain tumor patients
Y Wei, C Li, SJ Price
(2021)
2021.03.19.21253837
Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients
Y Wei, C Li, Z Cui, R Mayrand, J Zou, ALKC Wong, R Sinha, T Matys, C-B Schönlieb, SJ Price
(2021)
2021.03.09.434656
Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
C Li, W Huang, X Chen, Y Wei, SJ Price, C-B Schönlieb
(2021)
Quantifying Structural Connectivity in Brain Tumor Patients
Y Wei, C Li, SJ Price
(2021)
12907 LNCS,
519
Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients
Y Li, C Li, S Price, C-B Schönlieb, X Chen
(2020)
Glioblastoma surgery related emotion recognition deficits are associated with right cerebral hemisphere tract changes
R Sinha, A Dijkshoorn, C Li, T Manly, S Price
– Brain Communications
(2020)
2,
fcaa169
Publisher Correction: A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics.
J-L Yan, C Li, A van der Hoorn, NR Boonzaier, T Matys, SJ Price
– Scientific reports
(2020)
10,
13808
A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics.
J-L Yan, C Li, A van der Hoorn, NR Boonzaier, T Matys, SJ Price
– Scientific reports
(2020)
10,
9748
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Research Group

Centre for Mathematical Imaging in Healthcare