Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
We harmonized 5,600 subjects from the NIH’s FITBIR repository to identify phenotypes of traumatic brain injury.
Posts by Tag
- Vanderbilt MASI Lab 6
- SPIE Medical Imaging 5
- Oak Ridge National Laboratory 2
- University of Dayton 2
- fMRI 2
- Vision 1
- Vanderbilt MASI 1
- Crossing fibers 1
- TBI 1
- /lost+found/net 1
Vanderbilt MASI Lab
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
We developed DeepFixel, a deep learning approach for separating crossing white matter fibers in diffusion MRI data.
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.
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.
Super-resolution Multi-Contrast Unbiased Eye Atlases with Deep Probabilistic Refinement
We published our work on creating eye atlases from low-resolution MRI.
I Accepted a PhD Offer at Vanderbilt!
I accepted a PhD offer from Vanderbilt University at the MASI Lab under Dr. Bennett Landman.
SPIE Medical Imaging
Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
We harmonized 5,600 subjects from the NIH’s FITBIR repository to identify phenotypes of traumatic brain injury.
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
We developed DeepFixel, a deep learning approach for separating crossing white matter fibers in diffusion MRI data.
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.
A 4D atlas of diffusion-informed spatial smoothing windows for BOLD signal in white matter
We developed an atlas for adaptive smoothing in the brain based on white matter tracts.
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.
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.
fMRI
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.
A 4D atlas of diffusion-informed spatial smoothing windows for BOLD signal in white matter
We developed an atlas for adaptive smoothing in the brain based on white matter tracts.
Vision
Super-resolution Multi-Contrast Unbiased Eye Atlases with Deep Probabilistic Refinement
We published our work on creating eye atlases from low-resolution MRI.
Vanderbilt MASI
A 4D atlas of diffusion-informed spatial smoothing windows for BOLD signal in white matter
We developed an atlas for adaptive smoothing in the brain based on white matter tracts.
Crossing fibers
DeepFixel: Crossing white matter fiber identification through spherical convolutional neural networks
We developed DeepFixel, a deep learning approach for separating crossing white matter fibers in diffusion MRI data.
TBI
Phenotype discovery of traumatic brain injury segmentations from heterogeneous multi-site data
We harmonized 5,600 subjects from the NIH’s FITBIR repository to identify phenotypes of traumatic brain injury.
/lost+found/net
Researchers and the IndieWeb: Owning your presence online
Tools from the IndieWeb can help researchers develop an online identity.