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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

Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks
Y Wei, Y Li, X Chen, CB Schönlieb, C Li, SJ Price
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2022)
12962,
140
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
Y Li, C Li, Y Wei, S Price, CB Schönlieb, X Chen
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2022)
12962 LNCS,
124
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma
Y Wei, C Li, X Chen, CB Schoinlieb, SJ Price
– Proceedings - International Symposium on Biomedical Imaging
(2022)
2022-March,
1
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification
C Li, Y Wei, X Chen, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
13003,
103
Radiological tumour classification across imaging modality and histology
J Wu, C Li, M Gensheimer, S Padda, F Kato, H Shirato, Y Wei, C-B Schönlieb, SJ Price, D Jaffray, J Heymach, JW Neal, BW Loo, H Wakelee, M Diehn, R Li
– Nature machine intelligence
(2021)
3,
787
Quantifying structural connectivity in brain tumor patients
Y Wei, C Li, SJ Price
(2021)
Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients
Y Wei, C Li, Z Cui, R Mayrand, J Zou, ALKC Wong, R Sinha, T Matys, C-B Schönlieb, SJ Price
(2021)
Quantifying Structural Connectivity in Brain Tumor Patients
Y Wei, C Li, SJ Price
(2021)
12907,
519
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
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Research Group

Cambridge Image Analysis

Room

F0.14

Telephone

01223 330853