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.

Advances in Alzheimer’s and Parkinson’s Therapies (AAT-AD/PD) Poster 2020

On the performance of manually or automatically segmented DATSCAN-SPECT for biomarker extraction in PD

Advances in Alzheimer’s and Parkinson’s Therapies (AAT-ADPD) Poster 2020

Sleep-Wake Estimation From Actigraphy Data in Parkinson’s Disease: A Deep Learning Approach

CHDI Poster 2020

Fully-automatic AI segmentation of subcortical regions: comparison of ATLAS and deep-learning based approaches

Human Amyloid Imaging (HAI) Poster 2020

The Impact of Automatic Tau PET Processing On Uptake Variability and Power Analysis in AD

Human Amyloid Imaging (HAI) Poster 2020

Amyloid PET Variability due to Variation in MRI Protocol and Anatomical Segmentation

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