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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

P14.129 Predicting glioblastoma invasion using multiparametric MRI and a bi-level machine learning approach
C Li, P Liu, Y Wei, Y Li, C Schonlieb, SJ Price
– Neuro-Oncology
(2019)
21,
iii99
14th Meeting of the European Association of Neuro-Oncology September 19–22, 2019 Lyon, France
– Neuro-oncology
(2019)
21,
NP
Multi-Parametric and Multi-Regional Histogram Analysis of MRI: Revealing Imaging Phenotypes of Glioblastoma Correlated with Patient Survival
C Li, S Wang, A Serra, T Torheim, J-L Yan, NR Boonzaier, Y Huang, T Matys, MA McLean, F Markowetz, SJ Price
– European Radiology
(2019)
29,
4718
Multimodal MRI characteristics of the glioblastoma infiltration beyond contrast enhancement.
J-L Yan, C Li, NR Boonzaier, DM Fountain, TJ Larkin, T Matys, A van der Hoorn, SJ Price
– Ther Adv Neurol Disord
(2019)
12,
1756286419844664
Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival
C Li, J-L Yan, T Torheim, MA McLean, NR Boonzaier, J Zou, Y Huang, J Yuan, BRJ van Dijken, T Matys, F Markowetz, SJ Price
– Radiother Oncol
(2019)
134,
17
Characterising Heterogeneity of Glioblastoma using Multi-parametric Magnetic Resonance Imaging
C Li, S Wang, J-L Yan, T Torheim, NR Boonzaier, R Sinha, T Matys, F Markowetz, SJ Price
– Journal of Neurosurgery
(2019)
132,
1465
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals
C Li, S Wang, P Liu, T Torheim, NR Boonzaier, BR van Dijken, C-B Schönlieb, F Markowetz, SJ Price
– Neoplasia (United States)
(2019)
21,
442
Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma
C Li, S Wang, A Serra, T Torheim, J-L Yan, NR Boonzaier, Y Huang, T Matys, MA McLean, F Markowetz, SJ Price
– European radiology
(2019)
29,
4718
GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions
P Liu, C Li, CB Schönlieb
(2019)
11766,
110
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,
352
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Research Group

Centre for Mathematical Imaging in Healthcare