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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

RADIOMIC FEATURES FROM PHYSIOLOGICAL MRI SHOWS IMPROVED ACCURACY OVER STRUCTURAL MRI IN PREDICTING MGMT PROMOTER METHYLATION IN GLIOBLASTOMA
C Li, S Wang, F Markowetz, S Price
– Neuro-oncology
(2018)
20,
v352
Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma
BRJ van Dijken, P Jan van Laar, C Li, J-L Yan, NR Boonzaier, SJ Price, FCRS, A van der Hoorn
– J Neurosurg
(2018)
131,
717
Intratumoral Heterogeneity of Tumor Infiltration of Glioblastoma Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging
C Li, S Wang, J-L Yan, R Piper, H Liu, T Torheim, H Kim, J Zou, N Boonzaier, R Sinha, T Matys, F Markowetz, S Price
(2017)
Subventricular Zone Involvement Characterized by Diffusion Tensor Imaging in Glioblastoma
BRJ van Dijken, J-L Yan, NR Boonzaier, C Li, PJ van Laar, A van der Hoorn, SJ Price
– World Neurosurg
(2017)
105,
697
Low Perfusion Compartments in Glioblastoma Quantified by Advanced Magnetic Resonance Imaging and Correlated with Patient Survival
C Li, J-L Yan, T Torheim, M McLean, N Boonzaier, Y Huang, J Yuan, BRJ Van Dijken, T Matys, F Markowetz, S Price
(2017)
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
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
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks
Y Wei, Y Li, X Chen, C-B Schönlieb, C Li, SJ Price
Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma
Y Wei, C Li, X Chen, C-B Schönlieb, SJ Price
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Research Group

Cambridge Image Analysis

Room

F0.14

Telephone

01223 330853