
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
Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder
– Neuroradiology
(2025)
1
(doi: 10.1007/s00234-025-03544-x)
Effects of electroconvulsive therapy on functional connectome abnormalities in adolescents with depression and suicidal ideation.
– J Affect Disord
(2025)
374,
495
(doi: 10.1016/j.jad.2025.01.071)
Inverse Evolution Layers: Physics-Informed Regularizers for Image Segmentation
– SIAM Journal on Mathematics of Data Science
(2025)
7,
55
(doi: 10.1137/24m1633662)
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)
Multi-objective Bayesian optimization with enhanced features for adaptively improved glioblastoma partitioning and survival prediction.
– Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
(2024)
116,
102420
Knowledge-driven Subspace Fusion and Gradient Coordination for
Multi-modal Learning
(2024)
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor
Microenvironment Subtype Prediction
(2024)
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI
Synthesis
(2024)
Domain Game: Disentangle Anatomical Feature for Single Domain
Generalized Segmentation
(2024)
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