The Amyloid Imaging to Prevent Alzheimer’s Disease (AMYPAD) Prognostic and Natural History Study (PNHS) aims at understanding the role of amyloid imaging in the earliest stages of Alzheimer’s disease. AMYPAD PNHS adds (semi-)quantitative amyloid PET imaging to several European parent cohorts to predict AD-related progression as well as address methodological challenges in amyloid PET.
On the performance of manually or automatically segmented DATSCAN-SPECT for biomarker extraction in PD
Sleep-Wake Estimation From Actigraphy Data in Parkinson’s Disease: A Deep Learning Approach
Fully-automatic AI segmentation of subcortical regions: comparison of ATLAS and deep-learning based approaches
Amyloid PET Variability due to Variation in MRI Protocol and Anatomical Segmentation
Classifying cognitively healthy subjects from mild cognitive impaired and Alzheimer's disease patients using Tau-PET: The role of spatial resolution and PET pre-processing
A fully automatic pipeline for estimation of regional brain volume change using Jacobian integration
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