3 papers
cs.CV2020
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease
Md Motiur Rahman Sagar, Martin Dyrba
Deep Neural Networks - especially Convolutional Neural Network (ConvNet) has become the state-of-the-art for image classification, pattern recognition and various computer vision t…
eess.IV2020
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization
Arjun Haridas Pallath, Martin Dyrba
Convolutional neural networks (CNN) have become a powerful tool for detecting patterns in image data. Recent papers report promising results in the domain of disease detection usin…
q-bio.NC2018
Gaussian graphical models reveal inter-modal and inter-regional conditional dependencies of brain alterations in Alzheimer's disease
Martin Dyrba, Reza Mohammadi, Michel J. Grothe +2
Alzheimer's disease (AD) is characterized by a sequence of pathological changes, which are commonly assessed in vivo using MRI and PET. Currently, the most approaches to analyze st…