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
Expectation-Maximization Regularised Deep Learning for Tumour Segmentation
– 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)
(2023)
2023-April,
1
Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients.
– Brain
(2022)
146,
1714
(doi: 10.1093/brain/awac360)
Adaptive Unsupervised Learning with Enhanced Feature Representation for Intra-tumor Partitioning and Survival Prediction for Glioblastoma
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962 LNCS,
124
(doi: 10.1007/978-3-031-08999-2_10)
Predicting Isocitrate Dehydrogenase Mutation Status in Glioma Using Structural Brain Networks and Graph Neural Networks
– BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT I
(2022)
12962 LNCS,
140
(doi: 10.1007/978-3-031-08999-2_11)
Cerebrovascular risk factors impact brain phenotypes and cognitive function in healthy population
(2022)
(doi: 10.1101/2022.03.29.22273047)
Predicting conversion of mild cognitive impairment to Alzheimer's disease
(2022)
(doi: 10.48550/arxiv.2203.04725)
Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image
Representations for Glioma Grading
(2022)
Collaborative Learning of Images and Geometrics for Predicting Isocitrate Dehydrogenase Status of Glioma
– Proceedings - International Symposium on Biomedical Imaging
(2022)
00,
1
BrainNetGAN: Data Augmentation of Brain Connectivity Using Generative Adversarial Network for Dementia Classification
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2021)
13003,
103
(doi: 10.1007/978-3-030-88210-5_9)
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