Martin Andreas Styner

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.

This study examines subcortical brain development in infants with Down syndrome compared to controls from 6 to 12 months, finding reduced volumes and slower growth in most structures.

This study investigates the effects of postnatal Zika virus infection in infant macaques, finding altered neurodevelopment, increased emotional reactivity, and changes in CSF volume and brain structure.

BIBSNet is a deep learning model for infant brain segmentation in MRI scans that outperforms JLF in accuracy and speed, with compatible outputs for further analysis.

This study investigates the effects of Zika virus infection on infant brain development using single-cell transcriptomics and other methods, identifying disrupted pathways and behavioral changes.

The paper examines the impact of perinatal factors on white matter microstructure in children aged 8-10 years using diffusion tensor imaging.

This paper develops an automated method for segmenting the locus coeruleus in MRI scans and examines age-related signal changes across different imaging modalities.

This study examines how low social status and obesogenic diets affect brain structure in female macaques from infancy to adulthood, finding specific and persistent effects of social rank and transient effects of diet.

The paper extends fMRIPrep to handle MRI data from infancy to old age, demonstrating high-quality preprocessing across a wide age range.

The paper links early cell cycle gene expression in cortical organoids to interindividual variability in infant brain growth trajectories.

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

TwinEQTL provides a fast and powerful method for eQTL and GWAS analysis in twin studies by splitting twin samples and combining results with minimal power loss.

This study uses deep learning to identify hippocampal subfields contributing to MCI progression, finding that certain subfields are more critical than others.

This paper introduces a robust T1 MRI cortical surface pipeline for neonatal brains and evaluates it across multiple datasets, showing high accuracy and reproducibility.

This study examines the effects of maternal immune activation on neurobehavioral development in rhesus monkey offspring, finding reduced gray matter volume in specific brain regions.

This study shows that postnatal Zika virus infection in infant macaques leads to long-term behavioral, motor, and cognitive deficits along with structural and functional brain changes.

This study finds increased hypothalamic diffusivity in Parkinson's disease patients with high autonomic symptom burden compared to those with low burden.

This paper evaluates MS lesion segmentation algorithms using a new open-science infrastructure, finding that automatic methods lag behind human experts in detection and delineation.