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
Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
– Lecture Notes in Computer Science
(2024)
15181,
41
(doi: 10.1007/978-3-031-73360-4_5)
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2024)
15181,
1
(doi: 10.1007/978-3-031-73360-4_1)
Phy-Diff: Physics-Guided Hourglass Diffusion Model for Diffusion MRI Synthesis
– Lecture Notes in Computer Science
(2024)
15002 LNCS,
345
(doi: 10.1007/978-3-031-72069-7_33)
Spatiotemporal Graph Neural Network Modelling Perfusion MRI
– MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2024, PT II
(2024)
15002 LNCS,
411
(doi: 10.1007/978-3-031-72069-7_39)
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks
– Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics
(2024)
15002,
119
(doi: 10.1007/978-3-031-72069-7_12)
Artificial intelligence-driven health research innovations: Protein sciences
– Medicine Plus
(2024)
1,
100043
(doi: 10.1016/j.medp.2024.100043)
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
– Comput Med Imaging Graph
(2024)
116,
102420
Prognostic Assessment in Patients With Primary Diffuse Large B-Cell Lymphoma of the Central Nervous System Using MRI-Based Radiomics
– J Magn Reson Imaging
(2024)
61,
1142
(doi: 10.1002/jmri.29533)
Knowledge-driven Subspace Fusion and Gradient Coordination for
Multi-modal Learning
(2024)
Deep learning enhancing guide RNA design for CRISPR/Cas12a-based diagnostics.
– iMeta
(2024)
3,
e214
(doi: 10.1002/imt2.214)
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