aecelaya Goto Github PK

aecelaya.github.io

My personal website

brats-seg

brats-toolkit

Brats Toolkit: 1. BraTS preprocessor 2. BraTS Segmentor 3. BraTS Fusionator

brats-toolkit-source

deeplearningexamples

Deep Learning Examples

docker-images

Dockerfiles for medical imaging containers

euclidean-distance-transform-3d

Euclidean distance transform for multi-label 3D anisotropic images using marching parabolas.

gen-surf-loss

Code for implementing and comparing the Generalized Surface Loss to other loss functions

julia-dg

Code from CAAM 542 Spring 2023

mg-nets

Code for FMG-Net and W-Net architectures

mist

MIST: A simple, scalable, and end-to-end framework for 3D medical imaging segmentation.

mist-docs

Read the Docs page for Medical Imaging Segmentation Toolkit (MIST)

mist-tf

TensorFlow version of Medical Imaging Segmentation Toolkit (MIST)

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."

monstr-1.2.1

Slightly modified MONSTR skull-stripping scripts to run on Docker image.

mrdqed

A Magnetic Resonance Data Quality Evaluation Dashboard

neurodocker

Generate custom Docker and Singularity images, and minimize existing containers

pde-nets

Deep learning approaches to PDEs

pocket-nnunet

pocketnet

Code for "PocketNet: A Smaller Neural Network for Medical Image Analysis."

sqgn

Neural network training with a stochastic quasi-Gauss-Newton method

test-research-website

Testing new template for my personal research page

unet

U-Net Biomedical Image Segmentation