Jesper Andersson

This study identifies 66 genetic variants linked to neuroendocrine structure volumes and links some to testosterone levels using UK Biobank data.

This paper introduces a normative modelling approach to detect diffusion MRI artefacts and processing errors using UK Biobank data, outperforming traditional visual and quantitative QC methods.

This paper constructs internally-consistent, fully-unbiased multimodal MRI brain templates from UK Biobank data, showing improved registration accuracy compared to existing templates.

MMORF is a nonlinear image registration tool for MRI brain images that outperforms existing methods in accuracy and distortion control across multiple domains.

This paper evaluates dMRI denoising methods by defining performance criteria and comparing patch-based algorithms in complex and magnitude domains.

This paper introduces a method to reduce distortion and boundary slice aliasing in 3D diffusion MRI without increasing scan time, achieving high-resolution imaging with improved anatomical fidelity.

The paper evaluates and corrects slice-direction geometric distortion in high-resolution 7T EPI using reversed slice-select gradient acquisitions and gradient reversal-based correction.

The paper analyzes neonatal functional MRI data to study functional connectivity in term and preterm infants, finding age-related maturation and preterm birth-related disruptions in brain networks.

The paper links multimodal brain imaging markers in adolescents with physical activity and health measures using canonical correlation analysis.

This paper introduces an automated pipeline for processing neonatal resting-state fMRI data, improving motion correction and quality assurance in the developing Human Connectome Project.

This paper develops a data-driven framework using non-negative matrix factorisation to map structural connections in the neonatal brain and generates a cortical parcellation from 323 newborns.

This study shows that fMRI neurofeedback can modulate ipsilateral motor cortex activity and induce opposite changes in corpus callosum white matter microstructure in healthy adults.

This paper identifies and analyzes potential confounds in UK Biobank brain imaging data, emphasizing their impact on statistical analyses and suggesting considerations for future studies.

This paper introduces a symmetric prior for regularizing nonlinear image registration, improving anatomical plausibility while maintaining or exceeding registration quality.

This paper evaluates FNIRT, a nonlinear image registration tool, showing its effectiveness in handling intensity differences and producing diffeomorphic warps across simulated and experimental data.

This paper introduces a novel MRI reconstruction method that achieves higher acceleration factors than conventional techniques without loss of resolution.

The paper describes an automated processing and quality control pipeline for brain imaging data from the first 10,000 UK Biobank participants.

This study investigates resting-state functional connectivity in the cervical spinal cord at 3T, finding robust dorsal and ventral horn connectivity, replicating findings from higher field strength studies.