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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

Abstracts from the BNOS 2019 Meeting July 3–5, 2019 London, UK
– Neuro-oncology
(2019)
21,
NP
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
– Neurosurgery
(2019)
85,
524
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,
99
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: 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
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
– Therapeutic Advances in Neurological Disorders
(2019)
12,
175628641984466
Decoding the inter-dependence 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 (New York, N.Y.)
(2019)
21,
442
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
– Radiotherapy and Oncology
(2019)
134,
17
Characterizing tumor invasiveness of glioblastoma using multiparametric 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,
1
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Research Group

Cambridge Image Analysis

Room

F0.14

Telephone

01223 330853