Human neuroscience has always been pushing the boundary of what is measurable. During
the last decade, concerns about statistical power and replicability–in science in general, but …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Highlights•Methodological guidance on fMRI for design researchers is lacking.•We outline
the activities involved in developing and executing fMRI design studies.•Methodological and …

Automated brain tumour segmentation from post-operative images is a clinically relevant yet
challenging problem. In this study, an automated method for segmenting brain tumour into …

Neuroimaging of pain in animals allows us to better understand mechanisms of pain
processing and modulation. In this review, we discuss recently published brain imaging …

Objective diagnosis and prognosis in major depressive disorder (MDD) remains a challenge
due to the absence of biomarkers based on physiological parameters or medical tests …

Psychiatry is at a crossroads when choosing final samples for analysis of neuroimaging
data. Many patient populations exhibit significantly increased motion in the scanner …

Computer-assisted orthopedic surgery (CAOS) systems have become one of the most
important and challenging types of system in clinical orthopedics, as they enable precise …

In structural magnetic resonance (MR) imaging, motion artefacts, low resolution, imaging
noise and variability in acquisition protocols frequently degrade image quality and confound …

We have studied the effects of manual quality control of brain Magnetic Resonance Imaging
(MRI) images processed with Freesurfer. T1 images of first episode psychosis patients (N …