marianocabezas Goto Github PK
Name: Mariano Cabezas
Type: User
Company: University of Sydney
Bio: Researcher on medical image analysis.
Location: Sydney
Blog: marianocabezas.github.io
Mariano Cabezas's Projects
beetles
brainharmonic
BrainHarmonics project repository for the Brainhack Australasia 2021
braintools
Repository with C++ code based on ITK for brain MRI processing
challenge
The repo for the FeTS Challenge
challenges2017
Repository with models, experiments and approaches for the BraTS 2017 and iSeg segmentation challenges.
challenges2018
Repository for the MICCAI challenges of 2018
cnn-keras
CNN repository based on Keras
cnn-longitudinal
Repository with a CNN implementation for logitudinal MS lesion segmentation.
cnn-nolearn
Repository with CNN code base on Lasagne and nolearn
connectome_analysis
data_manipulation
CNN tests with pytorch and other tools
differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
diffusion_metrics
Temporary repository for the development of a set of unified functions for diffusion analysis (from FOD to connectome)
docker-deep-challenge2016
docker-python_nolearn
fetal-brain
Repository with code for our work related to fetal brain ultrasound
grad-cl
hearing
Repository to analyse hearing impairment data
marianocabezas.github.io
Personal webpage
miccai_challenge2016
Files for the MSSEG challenge of the MICCAI 2016. This repository containes code and the weights for the two nets.
msseg2
Segmentation pipelines fo rthe MSSEG2 MICCAI challenge
pytorch-code
Repository to work on pyTorch
quad22
Repository with approaches for super angular resolution on raw diffusion data
rethinking_dsc
Project to test some toy examples on the DSC loss for highly unbalanced datasets
slidesmd
Repository that contains slides based on markdown
synthetic_3d_data
Synthetic dataset experiments for image classification networks
tensorflow_tests
Just tensorflow tests
trees
voxelmorph
Unsupervised Learning for Image Registration
wetlands
Repository with code to test different ideas for a review paper on deep learning for wetlands
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