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Department of Pure Mathematics and Mathematical Statistics

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

Radiological tumour classification across imaging modality and histology
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, CB Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature Machine Intelligence
(2021)
3,
787
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 Communications
(2020)
2,
fcaa169
A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics (vol 10, 9748, 2020)
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
– Sci Rep
(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
– The British journal of radiology
(2020)
93,
20190441
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
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
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
14th Meeting of the European Association of Neuro-Oncology September 19–22, 2019 Lyon, France
– Neuro-oncology
(2019)
21,
NP
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Room

DL.08

Telephone

01223 765921