Dr Chao Li
Senior Research Associate
Dr Chao Li is pleased to consider applications from prospective PhD students.
Department of Applied Mathematics and Theoretical Physics (DAMTP) and Department of Clinical Neurosciences
Clinical and Veterinary Neuroscience
Dr Li is a Senior Research Fellow with expertise in both clinical neuroscience and computation modelling. Dr Li is particularly interested in developing novel machine learning approaches based on imaging and multi-omics data to for personalised management of neurological diseases. His research interest include: image-based AI for precision oncology and mental health; efficacy and safety assessment of AI innovations for clinical translation.
Cross-sectional and cohort studies
Magnetic resonance imaging (MRI)
Positron Emission Tomography (PET)
Randomised control trials
Associated News Items
Wei, Y., Li, C.#, Price, S.J. (2022), “Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma.” IEEE International Symposium on Biomedical Imaging
Wei, Y.*, Li, C.*#, Cui, Z., Mayrand, R.C., Zou, J., Wong, A.L., Sinha, R., Matys, T., Schönlieb, C.B. & Price, S.J (2021), “Structural connectome quantifies tumor invasion and predicts survival in glioblastoma patients” bioRxiv
Wu, J.*, Li, C.*, Gensheimer, M., Padda, J., Kato, F., Shirato, H., Wei, Y., Schönlieb, C.B., Price, S.J., Jaffray, D. J., Neal, J.W., Loo, B.W.J., Wakelee, H., Diehn, M. & Li, R (2021), “Radiological tumor classification across imaging modality and histology. ” Nature Machine Intelligence
Li, C.*, Wang S., Torheim T., Yan JL., Boonzaier NR., Matys T, Markowetz F. & Price S.J. (2019), “Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging.” Journal of Neurosurgery
Li, C.*, Yan JL., Torheim T., McLean, MA., Boonzaier, NR., Huang, Y., Yuan J., van Dijken B RJ., Matys, T., Markowetz, F. & Price, S.J. (2019), “Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient Survival.” Radiotherapy and Oncology