Vasculature-informed spatial smoothing of white matter functional magnetic resonance imaging
We developed a method for adaptive spatial smoothing based on the vasculature in the brain.
We developed a method for adaptive spatial smoothing based on the vasculature in the brain.
We developed an atlas for adaptive smoothing in the brain based on white matter tracts.
We found and corrected a bias in quantitative T1 methods using a patch-based deep learning model.
We published our work on creating eye atlases from low-resolution MRI.
I presented a TED-style talk highlighting the aims of my honors thesis research into diabetic retinopathy imaging and deep learning.
I graduated summa cum laude from the University of Dayton with a Bachelor of Electrical Engineering.
I accepted a PhD offer from Vanderbilt University at the MASI Lab under Dr. Bennett Landman.
I attended SPIE Medical Imaging for the first time and presented research I performed last summer on comparing whole-slide image classification algorithms.
I spent the summer at Oak Ridge National Lab, performing exciting research into designing machine learning algorithms for cancer detection from whole-slide i...