AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
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Updated
Oct 4, 2024 - Python
AICONSlab's white matter hyperintensities (WMH) segmentation algorithm using CNNs
MS thesis @harvard: Deep Learning optimization and data augmentation methods for WMH quantification
State-of-the-art, deep learning-based segmentation of brain white matter hyperintensities (of presumed vascular origin) on MRI
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
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".
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