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Found 6 papers, 2 papers with code
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI
Lacunes of presumed vascular origin, also referred to as lacunar infarcts, are important to assess cerebral small vessel disease and cognitive diseases such as dementia.
Deep learning-based group-wise registration for longitudinal MRI analysis in glioma
The proposed methods may serve as an alternative to classical toolboxes, to provide further insight into glioma growth.
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
Confounding bias is a crucial problem when applying machine learning to practice, especially in clinical practice.
Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
As a consequence, there is a large interest in the automatic segmentation of white matter tract in diffusion tensor MRI data.
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
Registration between time-points is used either as a prior for segmentation in a subsequent time point or to perform segmentation in a common space.
A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling
To evaluate the accuracy, we performed extensive experiments on synthetic data simulating the progression of Alzheimer's disease.
