Daniel Rueckert

MedMCP: An Open Agentic Ecosystem for Medical Imaging Workflows

MedMCP provides an agentic framework for medical imaging workflows, enabling non-technical users to apply state-of-the-art image analysis through natural language and shareable workflows.

Local and Global Patterns Support Medical Imaging as a Biomarker of Ageing

This study uses MRI scans to detect accelerated ageing patterns in specific organs and their associations with diseases and lifestyle factors.

A cortical signature of very preterm birth across development and its association with neurodevelopmental outcomes

This study identifies a consistent cortical signature of very preterm birth across development and links it to neurodevelopmental outcomes.

The developing Human Connectome Project fetal functional MRI release: Methods and data structures

The paper describes the release of a large fetal fMRI dataset and presents methods for its preprocessing and analysis to study in utero brain connectivity.

Deep Learning and 3D Imaging Reveal Whole-Body Alterations in Obesity

This paper introduces MouseMapper, a deep learning tool combined with 3D imaging to analyze whole-body structural changes in obesity, revealing nerve and immune system alterations.

Virtual reality empowered deep learning analysis of brain activity

DELiVR uses VR-generated data to train deep learning models for quantifying c-Fos in cleared mouse brains, revealing new activation patterns in cancer-related brain activity.

A spatio-temporaral atlas of the growing brain for fMRI studies

The paper constructs an age-dependent spatio-temporal atlas of the growing brain using anatomical datasets and kernel-based regression, then registers fMRI activation data to model brain network development.

Maturational networks of fetal brain activity reveal emerging connectivity patterns prior to ex-utero exposure

This paper introduces a new analytical framework called matnets to study fetal brain connectivity, revealing that high-level associative areas develop functional connections before birth.

Structural and functional asymmetry of the neonatal cerebral cortex

The paper investigates structural and functional asymmetry in the neonatal cerebral cortex using MRI data from term and preterm neonates and adults.

Development of neonatal brain functional centrality and alterations associated with preterm birth

The paper examines how functional brain centrality develops in neonates and how preterm birth affects it, finding age-related changes and regional differences but no direct link to 18-month neurodevelopmental outcomes.

The developing brain structural and functional connectome fingerprint

The paper identifies a stable structural connectome fingerprint in preterm neonates that can distinguish individuals more effectively than functional connectomes.

Predicting age and clinical risk from the neonatal connectome

This paper uses machine learning to predict neonatal brain age and clinical risk from structural connectomes, finding thalamocortical connections are key predictors of developmental outcomes.

Neonatal multi-modal cortical profiles predict 18-month developmental outcomes

The paper uses neonatal cortical connectivity data to predict 18-month developmental outcomes, finding that structural covariance networks predict social-emotional performance.

Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies

This study examines how gestational age at birth affects structural brain development in healthy term-born infants and links these changes to neurodevelopmental outcomes at 18 months.

Benchmarking Geometric Deep Learning for Cortical Segmentation and Neurodevelopmental Phenotype Prediction

This paper benchmarks geometric and traditional deep learning models for cortical segmentation and neurodevelopmental phenotype prediction using neonatal cortical surface data.

Outcomes and phenotypic expression of rare variants in hypertrophic cardiomyopathy genes amongst UK Biobank participants

This study examines the clinical impact of rare variants in HCM-associated genes in the UK Biobank, finding that pathogenic variants are linked to increased cardiovascular risk and subclinical phenotypes, while non-pathogenic variants show minimal effect.

Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age

This study examines how preterm birth affects cortical development in infants at term-equivalent age using MRI, finding altered microstructure and morphology with individual variability.

The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity

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.

Phenotyping the preterm brain: characterising individual deviations from normative volumetric development in two large infant cohorts

The paper develops normative brain volumetric development curves for term-born infants and compares preterm infants to these curves, identifying individual deviations linked to clinical factors and neurocognitive outcomes.

Cortical morphology at birth reflects spatio-temporal patterns of gene expression in the fetal human brain

The paper links cortical morphology at birth to gene expression patterns in the fetal brain and shows preterm birth disrupts this relationship.

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants.

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.

Genomic analysis reveals a functional role for myocardial trabeculae in adults

The paper identifies genetic associations with myocardial trabecular complexity using UK Biobank data and shows a causal link to ventricular function and electrical activity.

A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging

The paper optimizes multi-shell diffusion MRI acquisition parameters using a data-driven approach, resulting in a specific protocol for neonatal imaging.

Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain

The paper develops cortical profiles in neonatal brains using MRI to track morphometric and microstructural changes, revealing how network similarity evolves over time.

Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images

The paper introduces LOTS-IM, an unsupervised method for detecting white matter hyperintensities and MS lesions in MRI, showing better performance than existing methods.

Automated quantification of small vessel disease brain changes on MRI predicts cognitive and functional decline

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

Brain connectivity measures improve modeling of functional outcome after acute ischemic stroke

The paper shows that brain connectivity measures, specifically rich club organization and path-length, improve prediction of functional outcomes after acute ischemic stroke.

Dynamic patterns of cortical expansion during folding of the preterm human brain

This paper estimates local cortical growth patterns in preterm infants using aMSM, revealing regional and temporal differences in expansion linked to folding and injury detection.

The Developing Human Connectome Project: a Minimal Processing Pipeline for Neonatal Cortical Surface Reconstruction

The paper introduces a fully automated pipeline for neonatal cortical surface reconstruction from MRI, achieving high accuracy in 85% of cases.

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

A linearly scaling groupwise method jointly estimates mean brain shape and longitudinal change across 275 neonates (35 to 44 weeks post-menstrual age), yielding a temporally consistent morphological atlas.