febrianrachmadi / probunet-gan-vie Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

This is provisional codes for a conference paper titled "Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution".

1 star 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
networks-builder		networks-builder
testing_dataset_server_fold		testing_dataset_server_fold
training_dataset_server_fold		training_dataset_server_fold
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
testing.py		testing.py
training.py		training.py

Repository files navigation

probunet-gan-vie

Tensorflow 2.4
Trained models: https://drive.google.com/drive/folders/1pj_sAKYbSoGxXe8NM5S45CU9odAYFRyx?usp=sharing

About

This is provisional codes for a conference paper titled "Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution".

deep-neural-networks deep-learning brain-mri wmh-segmentation wmhs

Report repository

Releases

No releases published

Packages

No packages published

Languages

Python 100.0%