Adam Saunders

When I first applied to PhD programs, I emailed a professor who wanted a link to a personal website instead of a traditional CV.

We developed phenotypes of traumatic brain injury by harmonizing and analyzing 5,600 subjects from the NIH’s FITBIR repository.

DeepFixel is a deep learning approach for separating crossing white matter fibers in diffusion MRI data.

The need for password managers Humans are extremely predictable.

With our adaptive vasculature smoothing, we are able to identify more anatomically-informed independent components from fMRI data.

Using our atlas, we can adaptively smooth functional MRI data based on white matter tracts, which better preserves the underlying signal present compared to traditional smoothing methods.

We found a bias between two methods for mapping quantitative values of T1 from MRI, and we corrected that bias with a patch-based deep learning model.

We created standardized reference images for the eye using low-resolution MRI.

Deep Learning for a Healthier World: Detecting and Grading Diabetic Retinopathy In late April 2023, I presented a talk at the first-ever Honors Thesis Signature Talks at Stander Symposium at the University of Dayton.

I celebrated my graduation from the University of Dayton I’m proud to announce I have officially graduated from the University of Dayton!