Scholar
Adam M. Saunders
Google Scholar ID: P15oxm0AAAAJ
PhD Student, Vanderbilt University
Citations & Impact
Citations
14
H-index
2
i10-index
0
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Developed a method for adaptive spatial smoothing based on the vasculature in the brain; created an atlas for adaptive smoothing in the brain based on white matter tracts; found and corrected a bias in quantitative T1 methods using a patch-based deep learning model; published work on creating eye atlases from low-resolution MRI; gave a TED-style talk highlighting diabetic retinopathy imaging and deep learning.
Research Experience
- My research focuses on estimating information from MRI where we are missing data. I spent a summer at Oak Ridge National Lab, designing machine learning algorithms for cancer detection from whole-slide images. I attended my first SPIE Medical Imaging conference and presented research on comparing whole-slide image classification algorithms.
Education
- I am a PhD student at Vanderbilt University under Dr. Bennett Landman. I graduated summa cum laude from the University of Dayton with a Bachelor of Electrical Engineering.
Background
- I am a PhD student at Vanderbilt University performing medical imaging research in the MASI Lab.
Miscellany
- Personal interests include medical imaging research and AI.
