BACKGROUND AND AIM
In memory clinic patients, assessing diagnostic relevance of white matter hyperintensities (WMHs), as a marker to explain cognitive deficits, can be challenging. Here, we aimed to quantify this relevance by measuring the variance in cognitive function they explain, and consider, beyond total WMH volu...
Ewoud J. van der Lelij, Mirthe Coenen, F. de Kort et al.· Dementia and Geriatric Cogni...· 1 citation
Accurate hippocampal segmentation can be a useful tool for diagnosing and monitoring neurological conditions such as Alzheimer’s disease and epilepsy. While numerous automated segmentation methods exist, their clinical adoption remains limited. Reliable uncertainty assessment can enhance trust and facilitate clinical t...
Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge et al.· Machine Learning for Biomedi...· 0 citations
Ensemble-derived uncertainty quantification with sample variance, mutual information, and predictive entropy is shown to reduce inaccurate segmentations by flagging low-confidence cases, potentially providing a mechanism for automatically escalating ambiguous cases for expert assessment.
Gabriel Oliveira-Stahl, Anna Schroder, James Moggridge et al.· 0 citations
The Amyloid Imaging to Prevent Alzheimer’s Disease Prognostic and Natural History Study (AMYPAD-PNHS) multimodal magnetic resonance imaging (MRI) dataset provides open-access longitudinal MRI data of 2759 cognitively normal or mild cognitive impairment individuals to enhance generalizability and comparability between f...
L. Pieperhoff, M. Tranfa, Prithvi Arunachalam et al.· Scientific Data· 0 citations
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