Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Search results (20)

« Back to Publications

MedViA: Empowering medical time series classification with vision augmentation and multimodal fusion

Fan W. et al, (2026), Information Fusion, 127, 103659 - 103659

Subtyping Alzheimer's disease and Parkinson's disease using longitudinal electronic health records.

Lian J. et al, (2026), Nat Aging

Development and Validation of a parsimonious AI-Based Risk Score for Mortality in Heart Failure: A UK cohort study

Ahmed N. et al, (2025)

dances, constraints, and implications of ChatGPT in education from a social-ecological perspective: A data mining approach

Zhong Y. et al, (2025), Education and Information Technologies, 30, 16407 - 16440

deep learning sex-specific body composition ageing biomarker using dual-energy X-ray absorptiometry scan.

Lian J. et al, (2025), Commun Med (Lond), 5

Multi-modal machine learning approach for early detection of neurodegenerative diseases leveraging brain MRI and wearable sensor data.

Li A. et al, (2025), PLOS Digit Health, 4

Personalized progression modelling and prediction in Parkinson's disease with a novel multi-modal graph approach.

Lian J. et al, (2024), NPJ Parkinsons Dis, 10

dmission blood tests predicting survival of SARS-CoV-2 infected patients: a practical implementation of graph convolution network in imbalance dataset.

Lian J. et al, (2024), BMC Infect Dis, 24

Metabolic biomarkers using nuclear magnetic resonance metabolomics assay for the prediction of aging-related disease risk and mortality: a prospective, longitudinal, observational, cohort study based on the UK Biobank.

Lian J. and Vardhanabhuti V., (2024), Geroscience, 46, 1515 - 1526

Machine learning prediction of hepatic steatosis using body composition parameters: A UK Biobank Study.

Boncan DAT. et al, (2024), NPJ Aging, 10

ssociation between moderate-to-vigorous physical activity and chronic disease risk in adults and elderly: insights from the UK Biobank study.

Ng KS. et al, (2024), Front Physiol, 15

Machine learning in medicine—focus on radiology

Lian J. et al, (2023)

daMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine

Lian J. et al, (2023)

Early stage NSCLS patients' prognostic prediction with multi-information using transformer and graph neural network model.

Lian J. et al, (2022), Elife, 11

Early-Stage NSCLC Patients’ Prognostic Prediction with Multi-information Using Transformer and Graph Neural Network Model

Lian J. et al, (2022)

Load More