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Alzheimer’s Disease Detection using multi-modal 3D data

version 1.0.0 (129 MB) by Amir Ebrahimi
Two multi-modal models are implemented here. The models were used to detect Alzheimer's disease from MRI and fMRI.

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Updated 10 Aug 2021

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You can use these models to train multi-modal data like fMRI and MRI for classification. This code is an extension of pre-trained 3D ResNet-18 in:
You can use 'MultiModal_ADvsNC' as a template for training your own data.
Please cite the following paper on pre-trained 3D ResNet-18 if you find these models useful:

Cite As

Ebrahimi, Amir, et al. “Introducing Transfer Learning to 3D ResNet-18 for Alzheimer’s Disease Detection on MRI Images.” 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, 2020, doi:10.1109/ivcnz51579.2020.9290616.

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MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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