Super-resolution Multi-Contrast Unbiased Eye Atlases with Deep Probabilistic Refinement
We published our work on creating eye atlases from low-resolution MRI.
Posts by Tag
- Vanderbilt MASI Lab 3
- Oak Ridge National Laboratory 2
- University of Dayton 2
- SPIE Medical Imaging 1
- Preprint 1
- Vision 1
Vanderbilt MASI Lab
Comparison and Calibration of MP2RAGE Quantitative T1 Values to Multi-TI Inversion Recovery T1 Values
We found and corrected a bias in quantitative T1 methods using a patch-based deep learning model.
I Accepted a PhD Offer at Vanderbilt!
I accepted a PhD offer from Vanderbilt University at the MASI Lab under Dr. Bennett Landman.
Oak Ridge National Laboratory
My First Time at SPIE Medical Imaging
I attended SPIE Medical Imaging for the first time and presented research I performed last summer on comparing whole-slide image classification algorithms.
Using Supercomputers to Detect Cancer: My Summer at Oak Ridge National Lab
I spent the summer at Oak Ridge National Lab, performing exciting research into designing machine learning algorithms for cancer detection from whole-slide i...
University of Dayton
Deep Learning for a Healthier World: Detecting and Grading Diabetic Retinopathy
I presented a TED-style talk highlighting the aims of my honors thesis research into diabetic retinopathy imaging and deep learning.
Graduation from University of Dayton
I graduated summa cum laude from the University of Dayton with a Bachelor of Electrical Engineering.
SPIE Medical Imaging
My First Time at SPIE Medical Imaging
I attended SPIE Medical Imaging for the first time and presented research I performed last summer on comparing whole-slide image classification algorithms.
Preprint
Comparison and Calibration of MP2RAGE Quantitative T1 Values to Multi-TI Inversion Recovery T1 Values
We found and corrected a bias in quantitative T1 methods using a patch-based deep learning model.
Vision
Super-resolution Multi-Contrast Unbiased Eye Atlases with Deep Probabilistic Refinement
We published our work on creating eye atlases from low-resolution MRI.