activity
20042026
most citedTADPOLE Challenge: Prediction of Longitudinal Evolution in Alzheimer's Disease

100 citations · 471 across the 32 of their papers we have counts for

collaborators

32 papers

q-bio.QM2026

Prediction bias in biological ageing markers

Yiqun Lin, Ariel Yuhan Ong, Matthew Yu Heng Wong +52

Biological ageing markers have attracted growing interest, with models estimating age from organ imaging or blood biomarkers. An estimated age above chronological age or the age-sp…

q-bio.QM2026

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies

Santiago Silva, Ghiles Reguig, Neil P Oxtoby +2

The use of multi-centric analyses is crucial for obtaining sufficient sample sizes and representative clinical populations in experimental studies. In this setting, data harmonizat…

eess.IV2025

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis

Alec Sargood, Lemuel Puglisi, James H. Cole +3

Synthesizing amyloid PET scans from the more widely available and accessible structural MRI modality offers a promising, cost-effective approach for large-scale Alzheimer's Disease…

q-bio.QM2024★ 1 cited

How reproducible are data-driven subtypes of Alzheimer's disease atrophy?

Emma Prevot, Cameron Shand, Neil Oxtoby +1

Alzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, complicating efforts in treatment and intervention development. While new computational methods…

cs.LG2023

Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia

Beatrice Taylor, Cameron Shand, Chris J. D. Hardy +1

Machine learning models offer the potential to understand diverse datasets in a data-driven way, powering insights into individual disease experiences and ensuring equitable health…

q-bio.QM2023★ 1 cited

A coupled-mechanisms modelling framework for neurodegeneration

Tiantian He, Elinor Thompson, Anna Schroder +4

Computational models of neurodegeneration aim to emulate the evolving pattern of pathology in the brain during neurodegenerative disease, such as Alzheimer's disease. Previous stud…