aecelaya
NDSEG fellow, Ph.D. candidate at Rice University, U.S. Navy veteran
Rice UniversityHouston, TX
Pinned Repositories
aecelaya.github.io
My personal website
brats-seg
BraTS-Toolkit
Brats Toolkit: 1. BraTS preprocessor 2. BraTS Segmentor 3. BraTS Fusionator
BraTS-Toolkit-Source
gen-surf-loss
Code for implementing and comparing the Generalized Surface Loss to other loss functions
mg-nets
Code for FMG-Net and W-Net architectures
ml-gravity-inversion
Implementation details for networks used in paper "Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning."
pde-nets
Deep learning approaches to PDEs
pocketnet
Code for "PocketNet: A Smaller Neural Network for Medical Image Analysis."
MIST
MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
aecelaya's Repositories
aecelaya/MIST
MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.
aecelaya/pocketnet
Code for "PocketNet: A Smaller Neural Network for Medical Image Analysis."
aecelaya/gen-surf-loss
Code for implementing and comparing the Generalized Surface Loss to other loss functions
aecelaya/mg-nets
Code for FMG-Net and W-Net architectures
aecelaya/ml-gravity-inversion
Implementation details for networks used in paper "Inversion of Time-Lapse Surface Gravity Data for Detection of 3D CO2 Plumes via Deep Learning."
aecelaya/aecelaya.github.io
My personal website
aecelaya/brats-seg
aecelaya/BraTS-Toolkit
Brats Toolkit: 1. BraTS preprocessor 2. BraTS Segmentor 3. BraTS Fusionator
aecelaya/BraTS-Toolkit-Source
aecelaya/DeepLearningExamples
Deep Learning Examples
aecelaya/docker-images
Dockerfiles for medical imaging containers
aecelaya/euclidean-distance-transform-3d
Euclidean distance transform for multi-label 3D anisotropic images using marching parabolas.
aecelaya/pde-nets
Deep learning approaches to PDEs
aecelaya/julia-dg
Code from CAAM 542 Spring 2023
aecelaya/mist-docs
Read the Docs page for Medical Imaging Segmentation Toolkit (MIST)
aecelaya/monstr-1.2.1
Slightly modified MONSTR skull-stripping scripts to run on Docker image.
aecelaya/MRDQED
A Magnetic Resonance Data Quality Evaluation Dashboard
aecelaya/neurodocker
Generate custom Docker and Singularity images, and minimize existing containers
aecelaya/Pocket-nnUNet
aecelaya/sqgn
Neural network training with a stochastic quasi-Gauss-Newton method
aecelaya/test-research-website
Testing new template for my personal research page
aecelaya/unet
U-Net Biomedical Image Segmentation