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Cameron Shand
Cameron Shand
Verified email at crick.ac.uk - Homepage
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Cited by
Year
Explainable AI reveals changes in skin microbiome composition linked to phenotypic differences
AP Carrieri, N Haiminen, S Maudsley-Barton, LJ Gardiner, B Murphy, ...
Scientific reports 11 (1), 4565, 2021
782021
pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm
LM Aksman, PA Wijeratne, NP Oxtoby, A Eshaghi, C Shand, A Altmann, ...
SoftwareX 16, 100811, 2021
302021
Evolving controllably difficult datasets for clustering
C Shand, R Allmendinger, J Handl, A Webb, J Keane
Proceedings of the Genetic and Evolutionary Computation Conference, 463-471, 2019
152019
Targeted Screening for Alzheimer's Disease Clinical Trials Using Data-Driven Disease Progression Models
NP Oxtoby, C Shand, DM Cash, DC Alexander, F Barkhof
Frontiers in Artificial Intelligence 5, 660581, 2022
102022
Artificial intelligence for dementia research methods optimization
M Bucholc, C James, AA Khleifat, AP Badhwar, N Clarke, A Dehsarvi, ...
Alzheimer's & Dementia 19 (12), 5934-5951, 2023
82023
Uncovering spatiotemporal patterns of atrophy in progressive supranuclear palsy using unsupervised machine learning
WJ Scotton, C Shand, E Todd, M Bocchetta, DM Cash, L VandeVrede, ...
Brain communications 5 (2), fcad048, 2023
82023
HAWKS: Evolving challenging benchmark sets for cluster analysis
C Shand, R Allmendinger, J Handl, A Webb, J Keane
IEEE Transactions on Evolutionary Computation 26 (6), 1206-1220, 2021
62021
Heterogeneity in preclinical Alzheimer’s disease trial cohort identified by image-based data-driven disease progression modelling
C Shand, PJ Markiewicz, DM Cash, DC Alexander, MC Donohue, ...
medRxiv, 2023
32023
Towards an adaptive encoding for evolutionary data clustering
C Shand, R Allmendinger, J Handl, J Keane
Proceedings of the Genetic and Evolutionary Computation Conference, 521-528, 2018
12018
Distinct spatiotemporal atrophy patterns in corticobasal syndrome are associated with different underlying pathologies
WJ Scotton, C Shand, EG Todd, M Bocchetta, DM Cash, L VandeVrede, ...
medRxiv, 2024
2024
Combining multimodal connectivity information improves modelling of pathology spread in Alzheimer’s disease
E Thompson, A Schroder, T He, C Shand, S Soskic, NP Oxtoby, F Barkhof, ...
Imaging Neuroscience 2, 1-19, 2024
2024
Data-driven neuroanatomical subtypes of primary progressive aphasia
B Taylor, M Bocchetta, C Shand, EG Todd, A Chokesuwattanaskul, ...
medRxiv, 2024.05. 13.24307283, 2024
2024
Computational progression subtypes of hypometabolism due to Alzheimer’s disease: towards linking antemortem and postmortem diagnoses
NP Oxtoby, C Shand, P Bourgeat
Alzheimer's & Dementia 19, e079521, 2023
2023
What time window do AD trajectories depart from normal? Estimating age‐related trajectories to chart preclinical phase of Alzheimer’s disease and select trial‐ready cohorts
DM Cash, S Verdi, C Shand, W Coath, SE Keuss, A O'Connor, A Bollack, ...
Alzheimer's & Dementia 19, e078143, 2023
2023
Data‐driven neuroanatomical subtype trajectories of primary progressive aphasia
B Taylor, M Bocchetta, C Shand, EG Todd, A Chokesuwattanaskul, ...
Alzheimer's & Dementia 19, e076663, 2023
2023
Bayesian inference of a new Mallows model for characterising symptom sequences applied in primary progressive aphasia
B Taylor, C Shand, CJD Hardy, N Oxtoby
arXiv preprint arXiv:2311.13411, 2023
2023
Investigating neurodegenerative heterogeneity in cognitively unimpaired A4 pre‐randomization cohort
C Shand, MC Donohue, NP Oxtoby
Alzheimer's & Dementia 18, e061456, 2022
2022
Evolutionary Algorithms in Clustering: Challenging Problem Generation and Search Space Adaptation
C Shand
The University of Manchester, 2020
2020
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