Skip to content

Counterfactual inference for 3D brain imaging using deep structural causal models.

Notifications You must be signed in to change notification settings

lars-chen/3dscm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Structural Causal Model for 3D Counterfactual Inference

This repository is currently in progress. It can already be used to generate counterfactual images of MR brain images for 3D medical imaging data using deep structural causal models (DSCM).

This work builds on the work done by Pawlowski et al. (2019). The code in this repository is a fork of their code which can be found here.

Training Example:

python -m deepscm.experiments.brain_atrophy.trainer -e SVIExperiment -m ConditionalVISEM --decoder_type fixed_var --train_batch_size 16 --default_root_dir assets/models/synthetic_medical/ --gpus 0 --latent_dim 128 --pgm_lr 0.0005 --lr 0.0005 --blocks 1,2,4,6,8,8 --ch_multi 10 --num_sample_particles 8

About

Counterfactual inference for 3D brain imaging using deep structural causal models.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published