Brittany N. Dugger

This study evaluates how well frozen pathology foundation models transfer to cancer-related H&E and neurodegenerative IHC tasks, finding better performance on H&E tasks than on specialized IHC tasks.

This paper develops a deep-learning method to segment neurofibrillary tangles from brain tissue images using manual annotations, achieving high accuracy and scalability.

This study maps TRAP-derived nanoparticles in an Alzheimer model, finding sex- and region-specific effects on neuroinflammation and plaque interactions.

This study identifies genetic risk factors for FTLD-TDP subtypes using whole-genome sequencing and meta-analysis across multiple cohorts.

This study identifies differentially expressed genes and pathways in Alzheimer's disease brain tissue from African American donors, highlighting potential targets for treatment.

The paper analyzes bulk RNA-seq data from diverse ethnic groups to identify differentially expressed genes and pathways in Alzheimer's Disease, highlighting cross-ethnic and ethnic-specific findings.

The paper identifies six genetic loci associated with Alzheimer's disease in Hispanics, showing both genetic and epigenetic risks, with some downstream effects on mRNA expression being ethnicity-specific.

This paper develops an automated segmentation pipeline for GM/WM in brain WSIs using CNNs and post-processing, achieving high IoU scores and reducing manual effort.