Dr Chao Li
Senior Research Associate
Dr Chao Li is pleased to consider applications from prospective PhD students.
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