Chao Li

Dr Chao Li is a Principal 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 surrounding 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

Intra-tumoural perfusion habitats showed prognostic value in glioblastoma patients

C Li, C Sun, S Wang, S Price

– Neuro-oncology

(2019)

21,

iv3

Abstracts from the BNOS 2019 Meeting July 3–5, 2019 London, UK

– Neuro-oncology

(2019)

21,

P14.129 Predicting glioblastoma invasion using multiparametric MRI and a bi-level machine learning approach

C Li, P Liu, Y Wei, Y Li, C Schonlieb, SJ Price

– Neuro-Oncology

(2019)

21,

(doi: 10.1093/neuonc/noz126.364)

Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma

C Li, S Wang, A Serra, T Torheim, J-L Yan, NR Boonzaier, Y Huang, T Matys, MA McLean, F Markowetz, SJ Price

– European Radiology

(2019)

29,

4718

(doi: 10.1007/s00330-018-5984-z)

14th Meeting of the European Association of Neuro-Oncology September 19–22, 2019 Lyon, France

– Neuro-oncology

(2019)

21,

Multimodal MRI characteristics of the glioblastoma infiltration beyond contrast enhancement.

J-L Yan, C Li, NR Boonzaier, DM Fountain, TJ Larkin, T Matys, A van der Hoorn, SJ Price

– Ther Adv Neurol Disord

(2019)

12,

175628641984466

(doi: 10.1177/1756286419844664)

Low perfusion compartments in glioblastoma quantified by advanced magnetic resonance imaging and correlated with patient survival.

C Li, J-L Yan, T Torheim, MA McLean, NR Boonzaier, J Zou, Y Huang, J Yuan, BRJ van Dijken, T Matys, F Markowetz, SJ Price

– Radiotherapy and Oncology

(2019)

134,

(doi: 10.1016/j.radonc.2019.01.008)

Characterizing tumor invasiveness of glioblastoma using multiparametric magnetic resonance imaging

C Li, S Wang, J-L Yan, T Torheim, NR Boonzaier, R Sinha, T Matys, F Markowetz, SJ Price

– J Neurosurg

(2019)

132,

(doi: 10.3171/2018.12.jns182926)

Decoding the Interdependence of Multiparametric Magnetic Resonance Imaging to Reveal Patient Subgroups Correlated with Survivals.

C Li, S Wang, P Liu, T Torheim, NR Boonzaier, BR van Dijken, C-B Schönlieb, F Markowetz, SJ Price

– Neoplasia

(2019)

21,

442

(doi: 10.1016/j.neo.2019.03.005)

Multi-parametric and multi-regional histogram analysis of MRI: modality integration reveals imaging phenotypes of glioblastoma

C Li, S Wang, A Serra, T Torheim, J-L Yan, NR Boonzaier, Y Huang, T Matys, MA McLean, F Markowetz, SJ Price

– European Radiology

(2019)

29,

4718

(doi: 10.1007/s00330-018-5984-z)

Department of Applied Mathematics and Theoretical Physics

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