Alzheimers Detection using MRI Scans 🏥
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Updated
Jan 28, 2024 - Jupyter Notebook
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oasis-dataset
Here are 6 public repositories matching this topic...
Multimodal detection of Alzheimer's disease using the OASIS-1 dataset with CNNs, Anomaly Detection, and Explainable AI (Grad-CAM).
deep-learning tensorflow cnn python3 medical-imaging anomaly-detection explainable-ai alzheimer oasis-dataset mri-analysis
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Dec 8, 2025 - Jupyter Notebook
🧠COGNITIVA-AI: IA intermodal (clínica+MRI) para cribado temprano de Alzheimer; probabilidades calibradas, umbrales por cohorte (S2) y release reproducible.
python machine-learning computer-vision reproducible-research mri medical-imaging ensemble-learning logistic-regression binary-classification dementia clinical-data probability-calibration multimodal-learning cost-sensitive-learning alzheimer efficientnet streamlit oasis-dataset healthcare-ai fastaapi
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Sep 28, 2025 - Jupyter Notebook
Alzheimer's disease detection from structural MRI (OASIS-1): 3D SFCN, federated SFCN with FedProx, and a radiomics + classical ML pipeline, with a Streamlit app serving all three models.
deep-learning pytorch medical-imaging alzheimers-disease radiomics structural-mri federated-learning streamlit oasis-dataset dementia-classification
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Aug 10, 2026 - Python
The Python script to extract JPG images and categorize them into different classes of dementia using the NIFTI data
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Updated
Jul 18, 2024 - Jupyter Notebook
Alzheimer's Disease Detection using CNN | Classifies brain MRI scans into 4 dementia stages with 92.18% accuracy | TensorFlow, Keras, OASIS Dataset
python deep-learning tensorflow keras cnn medical-imaging image-classification brain-mri oasis-dataset alzheimers-detection
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May 10, 2026 - Jupyter Notebook
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