62 citations · 80 across the 3 of their papers we have counts for
3 papers
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes
Emanuel A. Azcona, Pierre Besson, Yunan Wu +6
We propose a mesh-based technique to aid in the classification of Alzheimer's disease dementia (ADD) using mesh representations of the cortex and subcortical structures. Deep learn…
Examining the Benefits of Capsule Neural Networks
Arjun Punjabi, Jonas Schmid, Aggelos K. Katsaggelos
Capsule networks are a recently developed class of neural networks that potentially address some of the deficiencies with traditional convolutional neural networks. By replacing th…
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks
Arjun Punjabi, Adam Martersteck, Yanran Wang +3
Automated methods for Alzheimer's disease (AD) classification have the potential for great clinical benefits and may provide insight for combating the disease. Machine learning, an…