IEEE International Conference on Healthcare Informatics (ICHI) 2020 Poster

Device agnostic sleep-wake segment classification from wrist-worn accelerometry

Huntington Study Group (HSG) 2020 Poster

Using artificial intelligence for fast, reliable, and automatic egmentation of the thalamus

Huntington Study Group (HSG) 2020 Poster

Fully-automatic AI segmentation of subcortical regions

Alzheimer's Association International Conference (AAIC) Poster 2020

Regional differences of Amyloid PET SUVR induced by spatial smoothing and the role of reference region

Alzheimer's Association International Conference (AAIC) Poster 2020

Reliability of wrist-worn accelerometry devices and algorithms for sleep detection

Medical Image Understanding and Analysis (MIUA) Publication 2020

Transfer learning for brain segmentation Pre-task selection and data limitations

Schizophrenia International Research Society (SIRS) 2020 Poster

Actigraphic Monitoring of Sleep-Wake Cycle in Schizophrenia Outpatients
Receiving a Long-Acting Injectable Antipsychotic: Feasibility and Initial
Results From a Prospective RCT

Quantitative amyloid PET in Alzheimer’s disease: the AMYPAD prognostic and natural history study

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.

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