cnn-interpretability
importedsoftware/cnn-interpretability
🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-2-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jrieke/cnn-interpretability
- Documentation
- unknown
- Tags
- alzheimer-disease-prediction · alzheimers-disease · cnn · convolutional-neural-networks · deep-learning · interpretability · interpretable-machine-learning · machine-learning
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Alzheimer_ensemble_transfer_learningalzheimer-disease-prediction · alzheimers-disease
Alzheimer prediction using Ensemble Transfer Learning
- DeathByRoundNumbersinterpretable-machine-learning
Glass-box ML reveals biases in medical practice at round number thresholds
- ADMIRE-DLalzheimers-disease · convolutional-neural-networks
A suite of tools for the preprocessing of MRI images and the training of CNNs for the classification of Alzheimer's Disease patients.
- GNN_for_EHRalzheimer-disease-prediction
Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"
- Robust-Brain-Age-Predictionalzheimer-disease-prediction
[WACV 2024] Official PyTorch implementation of: Ordinal Classification with Distance Regularization for Robust Brain Age Prediction
- Brainomalyalzheimers-disease
[WACV 2024] Official PyTorch implementation of Brainomaly
- api.github.com/repos/jrieke/cnn-interpretabilityretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-07-05, 180 stars, license reported as BSD-2-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/28.json→ .entries["cnn-interpretability"]
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