AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs

Code and Datasets for the paper "Brain atlas guided attention u-net for white matter hyperintensity segmentation", published on AMIA 2021 Informatics Summit.

Automatic Irregular Texture Detection in Brain MRI without Human Supervision

Project at Harvard (HMS and MGH) for Deep Learning-powered WMH quantification. Please refer to the official website for more recent information.

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".