Prediction of Progression to Alzheimer's disease with Deep InfoMax
Published: May 1, 2019
Abstract
Arguably, unsupervised learning plays a crucial role in the majority of algorithms for processing brain imaging. A recently introduced unsupervised approach Deep InfoMax (DIM) is a promising tool for exploring brain structure in a flexible non-linear way. In this paper, we investigate the use of variants of DIM in a setting of progression to Alzheimer's disease in comparison with supervised AlexNet and ResNet inspired convolutional neural...
Paper Details
Title
Prediction of Progression to Alzheimer's disease with Deep InfoMax
Published Date
May 1, 2019
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