Martin Dyrba | DeepAI

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∙ 12/18/2020

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease

Although convolutional neural networks (CNN) achieve high diagnostic acc...

0 Martin Dyrba, et al. ∙

∙ 09/10/2020

Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease

Deep Neural Networks - especially Convolutional Neural Network (ConvNet)...

7 Md Motiur Rahman Sagar, et al. ∙

∙ 08/18/2020

Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization

Convolutional neural networks (CNN) have become a powerful tool for dete...

8 Arjun Haridas Pallath, et al. ∙

∙ 03/30/2018

Assessing inter-modal and inter-regional dependencies in prodromal Alzheimer's disease using multimodal MRI/PET and Gaussian graphical models

Several neuroimaging markers have been established for the early diagnos...

0 Martin Dyrba, et al. ∙

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