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Department of Applied Mathematics and Theoretical Physics

Dr Chao Li is a Senior 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 surrouding 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

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,
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 Commun
(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
Semi-automated construction of patient individualised clinical target volumes for radiotherapy treatment of Glioblastoma utilising diffusion tensor decomposition maps
R Rahmat, F Brochu, C Li, R Sinha, SJ Price, R Jena
– Br J Radiol
(2020)
93,
20190441
Intra-tumoural perfusion habitats showed prognostic value in glioblastoma patients
C Li, C Sun, S Wang, S Price
– Neuro-oncology
(2019)
21,
iv3
Intratumoral Heterogeneity of Glioblastoma Infiltration Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging.
C Li, S Wang, J-L Yan, RJ Piper, H Liu, T Torheim, H Kim, J Zou, NR Boonzaier, R Sinha, T Matys, F Markowetz, SJ Price
– Clinical Neurosurgery
(2019)
85,
524
Abstracts from the BNOS 2019 Meeting July 3–5, 2019 London, UK
– Neuro-oncology
(2019)
21,
NP
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Research Group

Centre for Mathematical Imaging in Healthcare

Room

F0.14