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Found 3 papers, 1 papers with code
The effect of data augmentation and 3D-CNN depth on Alzheimer's Disease detection
We investigate the impact of different data augmentation techniques and model complexity on the overall performance.
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions
In this context, high-level layers may considered as groups of variables interacting in lower-level layers.
A temporal model for multiple sclerosis course evolution
Researchers are currently investigating on the use of patient reported outcome measures for the assessment of impact and evolution of the disease on the life of the patients.
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