Jeffrey Duda

This paper uses GWAS and mediation analysis on CT-derived phenotypes to show genetic variants influence disease through intermediate imaging traits.

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.

This study examines changes in brain connectivity and neurovascular dynamics during dexmedetomidine-induced unconsciousness and recovery, finding widespread connectivity decreases and cerebellum-specific increases in structure-function coupling.

The paper develops a deep learning method to quantify 3D aortic geometry in large biobanks, expanding available phenotypes for studying aortic degeneration.

This study compares chemotherapy with and without stroma-directed drugs in a mouse model of pancreatic cancer, finding enhanced tumor growth inhibition and changes in tumor microenvironment.

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