Nicholas James Tustison

This paper develops a 2D U-NET model to segment and quantify atherosclerotic lesions in mouse aortic sections, achieving high accuracy and significantly reducing measurement time.

This paper introduces a label-informed image registration method that improves registration accuracy for challenging datasets, particularly in developmental studies.

ComBat-Predict improves the generalizability of neuroimaging models to new sites by harmonizing site effects and reducing bias in cortical thickness predictions.

The paper introduces LAMNr flows for multimodal data analysis, enabling shared latent subspaces and cross-view imputation, with applications in biological imaging.

The paper demonstrates the use of ANTsX for precise spatial mapping of the mouse brain using standardized coordinate systems and presents novel workflows for longitudinal trajectory analysis and automated morphological measurements.

The paper develops a 3D developmental common coordinate framework (DevCCF) for mouse brains across multiple developmental stages to enable data integration and analysis of brain development.

The paper investigates two neuroinflammatory markers, YKL-40 and GFAP, and their associations with cerebrovascular injury, amyloid-beta, and downstream neurodegeneration in older adults without dementia.

DeepCombat removes batch effects from neuroimaging data using a deep learning approach, outperforming existing methods in preserving biological variation.

The paper shows cerebrovascular pathology mediates the link between REM sleep hypoxemia and entorhinal cortical thickness, which is associated with impaired memory in older adults.

The paper develops a multivariate residualization method for medical imaging data to better control for nuisance variables and applies it to ADNI data.

This study examines the relationship between white matter hyperintensities, medial temporal lobe volumes, and memory in older adults, finding that occipital hyperintensities are linked to reduced subregional volumes and worse memory performance.

This paper develops an automated framework for analyzing low-field MRI scans to detect biomarkers of severe brain swelling in cerebral malaria.

This paper shows that removing scanner effects in mean and variance is insufficient for multivariate pattern analysis and proposes a method to harmonize covariance across scanners.

This study identifies neural mechanisms of negative overgeneralization in peripubertal youth, linking it to anxiety through pattern completion and amygdala-mPFC interactions.

The paper examines how hippocampal maturity affects memory discrimination and generalization in adolescents, finding that greater maturity correlates with better discrimination of neutral images and more generalization of negative images.

The paper introduces longitudinal ComBat to harmonize multi-scanner imaging data, showing it improves detection of longitudinal changes and controls type I error better than existing methods.

The paper introduces an ANTs-based longitudinal cortical thickness pipeline and demonstrates its effectiveness in analyzing ADNI-1 data for detecting structural brain changes over time.

This study identifies hypoactivity in the anterolateral entorhinal cortex in older adults, linked to impaired object pattern separation, without changes in the posteromedial entorhinal cortex.