Dr Chao Li![]() University positionSenior Research Associate Dr Chao Li is pleased to consider applications from prospective PhD students. DepartmentsDepartment of Applied Mathematics and Theoretical Physics (DAMTP) and Department of Clinical Neurosciences Home pagehttps://www.neurosurg.cam.ac.uk/researc... Research ThemesInterestsDr 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. Research Focus
EquipmentComputational modelling Cross-sectional and cohort studies Immunohistochemistry Magnetic resonance imaging (MRI) Neuropsychological testing Positron Emission Tomography (PET) Randomised control trials Collaborators
Associated News ItemsPublications2022Wei, 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 2021Wei, 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 2019Li, 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 |