multimodal-approach-for-ad
Code for "Automated Detection of Alzheimer’s Disease: A Multi-modal Approach With 3D MRI and Amyloid PET" paper
https://github.com/montanarograziano/multimodal-approach-for-ad
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: nature.com -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.4%) to scientific vocabulary
Keywords
Repository
Code for "Automated Detection of Alzheimer’s Disease: A Multi-modal Approach With 3D MRI and Amyloid PET" paper
Basic Info
Statistics
- Stars: 8
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
UPDATE: - 03/2024: Published on Scientific Reports! Check the paper here.
Multimodal approach for AD Detection
This repository contains notebooks for the experiments conducted for testing a multimodal approach for assessing AD from PET and MRI. The notebooks are separated in: - Dataset_MRI.ipynb, containing the code used to process the raw MRI data to create the final dataset. - Dataset_PET.ipynb, containing the code used to process the raw PET data to create the final dataset. - Training.ipynb, which contains the code used for training and testing the various models. - Heatmaps.ipynb, which contains the code used for generating heatmaps based on the GradCAM algorithm, using the plugin tf-keras-vis. - Exploration.ipynb, which contains the code used for the evaluation of the heatmaps in order to rank the brain's zones. - images/3D Brain Plot.ipynb, which contains the code used to generate the figures available in the paper.
Owner
- Name: Graziano Montanaro
- Login: montanarograziano
- Kind: user
- Location: Italy
- Company: Tuidi
- Website: https://montanarograziano.github.io/
- Repositories: 1
- Profile: https://github.com/montanarograziano
ML Engineer at Tuidi. Python, Computer Vision, Deep Learning and other funny stuff.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Montanaro"
given-names: "Graziano"
orcid: "https://orcid.org/0000-0001-8806-7688"
- family-names: "Esposito"
given-names: "Andrea"
orcid: "https://orcid.org/0000-0002-9536-3087"
title: "Multimodal Approach for AD"
url: "https://github.com/montanarograziano/Multimodal-approach-for-AD"
preferred-citation:
type: article
authors:
- family-names: "Castellano"
given-names: "Giovanna"
orcid: "https://orcid.org/0000-0002-6489-8628"
- family-names: "Andrea"
given-names: "Esposito"
orcid: "https://orcid.org/0000-0002-9536-3087"
- family-names: "Lella"
given-names: "Eufemia"
orcid: "https://orcid.org/0000-0001-6137-328X"
- family-names: "Graziano"
given-names: "Montanaro"
orcid: "https://orcid.org/0000-0001-8806-7688"
- family-names: "Vessio"
given-names: "Gennaro"
orcid: "https://orcid.org/0000-0002-0883-2691"
doi: "10.1038/s41598-024-56001-9"
journal: "Scientific Reports"
month: 3
start: 5210
title: "Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET"
volume: 14
year: 2024
GitHub Events
Total
- Issues event: 1
- Watch event: 6
- Push event: 1
Last Year
- Issues event: 1
- Watch event: 6
- Push event: 1
Dependencies
- 118 dependencies
- matplotlib ^3.8.2
- nilearn ^0.10.3
- notebook ^7.0.7
- numpy ^1.26.4
- opencv-python ^4.9.0.80
- pandas ^2.2.0
- python ^3.9
- matplotlib >=3.10.0
- nibabel >=5.3.2
- numpy >=2.2.1
- opencv-python >=4.11.0.86
- p-tqdm >=1.4.2
- pandas >=2.2.3
- pillow >=11.1.0
- scipy >=1.15.1
- tensorflow >=2.14.0
- tf-keras-vis >=0.8.7