User profiles for Stamatios N. Sotiropoulos

Stamatios N Sotiropoulos

Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham
Verified email at nottingham.ac.uk
Cited by 21368

The minimal preprocessing pipelines for the Human Connectome Project

MF Glasser, SN Sotiropoulos, JA Wilson, TS Coalson… - Neuroimage, 2013 - Elsevier
The Human Connectome Project (HCP) faces the challenging task of bringing multiple
magnetic resonance imaging (MRI) modalities together in a common automated preprocessing …

[HTML][HTML] An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

JLR Andersson, SN Sotiropoulos - Neuroimage, 2016 - Elsevier
In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

Multimodal population brain imaging in the UK Biobank prospective epidemiological study

…, J Xu, AJ Bartsch, S Jbabdi, SN Sotiropoulos… - Nature …, 2016 - nature.com
Medical imaging has enormous potential for early disease prediction, but is impeded by the
difficulty and expense of acquiring data sets before symptom onset. UK Biobank aims to …

[HTML][HTML] Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank

…, L Griffanti, G Douaud, SN Sotiropoulos… - Neuroimage, 2018 - Elsevier
UK Biobank is a large-scale prospective epidemiological study with all data accessible to
researchers worldwide. It is currently in the process of bringing back 100,000 of the original …

Advances in diffusion MRI acquisition and processing in the Human Connectome Project

SN Sotiropoulos, S Jbabdi, J Xu, JL Andersson… - Neuroimage, 2013 - Elsevier
… Author links open overlay panel Stamatios N. Sotiropoulos a , Saad Jbabdi a , Junqian
Xu b c , Jesper L. Andersson a , Steen Moeller b , Edward J. Auerbach b , Matthew F. …

Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

…, DA Feinberg, SM Smith, KL Miller, SN Sotiropoulos… - Neuroimage, 2013 - Elsevier
The Human Connectome Project (HCP) relies primarily on three complementary magnetic
resonance (MR) methods. These are: 1) resting state functional MR imaging (rfMRI) which …

The human connectome project's neuroimaging approach

…, S Moeller, EC Robinson, SN Sotiropoulos… - Nature …, 2016 - nature.com
Noninvasive human neuroimaging has yielded many discoveries about the brain. Numerous
methodological advances have also occurred, though inertia has slowed their adoption. …

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

…, MS Graham, E Zsoldos, SN Sotiropoulos - Neuroimage, 2016 - Elsevier
Despite its great potential in studying brain anatomy and structure, diffusion magnetic
resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI …

Model‐based analysis of multishell diffusion MR data for tractography: How to get over fitting problems

S Jbabdi, SN Sotiropoulos, AM Savio… - Magnetic resonance …, 2012 - Wiley Online Library
In this article, we highlight an issue that arises when using multiple b‐values in a model‐based
analysis of diffusion MR data for tractography. The non‐monoexponential decay, …

[HTML][HTML] The human connectome project: a retrospective

JS Elam, MF Glasser, MP Harms, SN Sotiropoulos… - NeuroImage, 2021 - Elsevier
The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to
accelerate advances in human neuroimaging, particularly for measures of brain connectivity; …