MANIFOLD Lab
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Automatic
Dementia
Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve ‘black box’ models that can …
Sophie A Martin
,
An Zhao
,
Jiongqi Qu
,
Phoebe Imms
,
Andrei Irimia
,
Frederik Barkhof
,
James H Cole
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Project
DOI
Interpretable deep learning for dementia: a systematic review
Introduction.
Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited …
Sophie A Martin
,
Frederik Barkhof
,
James H Cole
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Project
DOI
AutoML
Reducing researcher bias by making pipeline selection in a data-driven manner
Douglas Wyllie
,
Maitrei Kohli
,
James H Cole
BARCODE
Predicting risk of dementia in adults with subjective or mild cognitive impairment using the brain-age paradigm.
Francesca Biondo
Interpretable Dementia Prediction
Developing a framework for interpretable, explainable dementia prediction and validating existing methods.
Sophie A Martin
Normative Modelling
Mapping individual differences in the neuroanatomy of dementia
Serena Verdi
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