Dr Chao Li

Dr Chao Li is a Senior 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 surrouding 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

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

– Neuro-oncology

(2019)

21,

Multi-Parametric and Multi-Regional Histogram Analysis of MRI: Revealing Imaging Phenotypes of Glioblastoma Correlated with Patient Survival

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: 10.1101/235861)

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)

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 (United States)

(2019)

21,

442

(DOI: 10.1016/j.neo.2019.03.005)

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 : journal of the European Society for Therapeutic Radiology 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

– Journal of Neurosurgery

(2019)

132,

1465

(DOI: 10.3171/2018.12.JNS182926)

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)

GANReDL: Medical Image Enhancement Using a Generative Adversarial Network with Real-Order Derivative Induced Loss Functions

P Liu, C Li, CB Schönlieb

(2019)

11766 LNCS,

110

(DOI: 10.1007/978-3-030-32248-9_13)

RADIOMIC FEATURES FROM PHYSIOLOGICAL MRI SHOWS IMPROVED ACCURACY OVER STRUCTURAL MRI IN PREDICTING MGMT PROMOTER METHYLATION IN GLIOBLASTOMA

C Li, S Wang, F Markowetz, S Price

– Neuro-Oncology

(2018)

20,

v352

(DOI: 10.1093/neuonc/noy129.039)

Ventricle contact is associated with lower survival and increased peritumoral perfusion in glioblastoma

BRJ van Dijken, P Jan van Laar, C Li, J-L Yan, NR Boonzaier, SJ Price, FCRS, A van der Hoorn

– Journal of Neurosurgery

(2018)

131,

(DOI: 10.3171/2018.5.JNS18340)

Department of Applied Mathematics and Theoretical Physics

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