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Dr Chao Li, MD, PhD Group Leader, Intelligent Neuroimaging & Computational Neuroscience Clinical Fellow, Department of Clinical Neurosciences Senior Research Fellow, Department of Applied Mathematics and Theoretical Physics Email: cl647 [at] cam.ac.uk |
Dr Chao Li is a neurosurgeon trained in Shanghai and did his PhD in Clinical Neurosciences at Cambridge. His research in near-oncology focuses on characterising brain tumours using advanced neuroimaging and artificial intelligence. He has particular research interests in explainable artificial intelligence to bridge the gap between model development and real-world clinical application. The research outputs could provide clinical decision support for tailored treatment.
Vita
| 2018- present | Research Fellow, Department of Clinical Neurosciences, Department of Applied Mathematics & Theoretical Physics, University of Cambridge |
| 2015- 2018 | PhD researcher, Department of Clinical Neurosciences, University of Cambridge |
| 2014-2015 | Honorary research fellow, Wolfson Molecular Imaging Centre, University of Manchester |
| 2007-2022 | Neurosurgeon, Shanghai Jiao Tong University |
| 2004-2007 | Surgical resident, Fudan University |
Selected publications
- 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. https://doi.org/10.1038/s42256-021-00377-0
- 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. doi: https://doi.org/10.1101/2021.03.09.434656
- Wei, Y., Li, C.#, Price, S.J. (2021). Collaborative learning of images and geometrics for predicting isocitrate dehydrogenase status of glioma. IEEE International Symposium on Biomedical Imaging
- Wei, Y.*, Li, C.*#, Price, S.J. (2021). Quantifying structural connectivity in brain tumor patients. MICCAI 2021
- Li, C*., Wei, Y*., Chen, X., Schönlieb, C.B. (2021). BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classification. https://arxiv.org/abs/2103.08494. DGM4MICCAI
- Li, Y.*, Li, C.*, Wei, Y., Price, S., Schönlieb, C. B., & Chen, X. (2021). Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma. MICCAI Brain Lesion workshop.
- Li, C.*, Huang, W.*, Chen, X., Wei, Y., Price, S.J, Schönlieb, C.B. (2020) Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma. arXiv preprint arXiv:2101.08757
- 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. EPub. doi: 10.3171/2018.12.JNS182926.
- Li, C.*, Wang, S., Liu, P, Torheim, T, Boonzaier, NR., van Dijken, BRJ., Schönlieb, CB., Markowetz, F. & Price, S.J. (2019). Decoding the inter-dependence of multiparametric magnetic resonance imaging to unravel patient subgroups correlated with outcomes. Neoplasia. 21 (5). 442-449. doi: 10.1016/j.neo.2019.03.005.
- Li, C.*, Wang, S., Serra, A., Torheim, T., Yan, JL., Boonzaier, NR., Matys, T., McLean, MA., Markowetz, F. & Price, S.J. (2019). Multi-parametric and Multi-regional Histogram Analysis of MRI: Modality Integration Reveals Imaging Phenotypes of Glioblastoma. European Radiology. Epub. doi: 10.1007/s00330-018-5984-z
- 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, 134 (7-24). doi: 10.1016/j.radonc.2019.01.008
- Li, C.*, Wang, S., Yan, JL., Piper, R., Liu, H., Torheim, T., Kim, H., Boonzaier, NR., Sinha, R., Matys, T., Markowetz, F. & Price, S.J. (2018). Intratumoral Heterogeneity of Tumor Infiltration of Glioblastoma Revealed by Joint Histogram Analysis of Diffusion Tensor Imaging. Neurosurgery. Epub. doi: 10.1093/neuros/nyy388
* co-first author; #correspondence
