Numerous machine learning (ML) approaches have been proposed for automatic classification
of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 papers have …

Attenuation correction is an essential requirement for quantification of positron emission
tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from …

Aim To accurately quantify the radioactivity concentration measured by PET, emission data
need to be corrected for photon attenuation; however, the MRI signal cannot easily be …

A large number of papers have introduced novel machine learning and feature extraction
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …

Purpose Magnetic resonance imaging ( MRI )‐guided radiation therapy ( RT ) treatment
planning is limited by the fact that the electron density distribution required for dose calculation is …

In this paper, we propose a new method to perform data augmentation in a reliable way in
the High Dimensional Low Sample Size (HDLSS) setting using a geometry-based variational …

We present Clinica ( www.clinica.run ), an open-source software platform designed to make
clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to (i…

Background Increasing age is the biggest risk factor for dementia, of which Alzheimer’s
disease is the commonest cause. The pathological changes underpinning Alzheimer’s disease …

We performed a systematic review of studies focusing on the automatic prediction of the
progression of mild cognitive impairment to Alzheimer’s disease (AD) dementia, and a …

Background Temporary disruption of the blood-brain barrier (BBB) using pulsed ultrasound
leads to the clearance of both amyloid and tau from the brain, increased neurogenesis, and …