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Faculty of Mathematics

 

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

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,
1756286419844664
Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated Survivals
C Li, S Wang, P Liu, T Torheim, NR Boonzaier, BR van Dijken, C-B Schönlieb, F Markowetz, SJ Price
– Neoplasia
(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 : journal of the European Society for Therapeutic Radiology 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,
1465
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
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
– Journal of neurosurgery
(2018)
131,
717
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Research Group

Centre for Mathematical Imaging in Healthcare

Room

DL.08,F0.14

Telephone

01223 760382
01223 765921