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Last modified by manuelmenendez on 2025/02/02 07:08
From version 4.1
edited by manuelmenendez
on 2025/02/02 07:08
on 2025/02/02 07:08
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To version 3.1
edited by manuelmenendez
on 2025/02/02 00:47
on 2025/02/02 00:47
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... ... @@ -1,32 +1,52 @@ 1 -~== Neurodiagnoses: AI-Powered Diagnosis == 1 +~== Neurodiagnoses: Jupyter Notebooks == 2 +Welcome to the Jupyter Notebooks Hub for the Neurodiagnoses project. 3 +Here, you will find a collection of AI-powered notebooks used for processing biomarkers, training AI models, and performing neuroimaging analysis. 2 2 3 - Neurodiagnoses provides~*~*two AI-assisted diagnostic systems~*~*, allowing clinicians to compare a ~*~*probabilistic~*~* and a ~*~*structured tridimensional approach~*~*.5 +~-~-- 4 4 7 +~=== Available Notebooks === 8 +Below is a list of Jupyter Notebooks available in EBRAINS. Click on any notebook to open it. 9 + 10 +~1. ~*~*Biomarker Classifier~*~* 11 + Link: [Open Notebook](https:~/~/lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/Neurodiagnoses/biomarker_classifier.ipynb) 12 + Description: Trains a machine learning model to classify patients based on biomarkers (Amyloid-beta, Tau, NFL). 13 + Usage: Run all cells to train the model and generate predictions. 14 + 15 +2. ~*~*MRI Feature Extraction~*~* (Coming Soon) 16 + Link: Notebook Link TBD 17 + Description: Uses AI to extract neuroanatomical features from MRI scans. 18 + Usage: Upload MRI data and run the script to generate reports. 19 + 20 +3. ~*~*EEG Analysis with Deep Learning~*~* (Coming Soon) 21 + Link: Notebook Link TBD 22 + Description: Uses deep learning models to analyze EEG patterns and detect abnormalities. 23 + Usage: Load EEG recordings and apply pre-trained AI models. 24 + 5 5 ~-~-- 6 6 7 -~=== AvailableNotebooks ===8 - Beloware theJupyter Notebooksimplementingthesediagnostic methods:27 +~=== How to Run Notebooks === 28 +To use the notebooks, follow these steps: 9 9 10 -~1. ~*~*Probabilistic Diagnosis Notebook~*~* 11 - - [Open Notebook](https:~/~/lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/Neurodiagnoses/probabilistic_diagnosis.ipynb) 12 - - AI assigns multiple possible diagnoses with probability percentages. 13 - - Example: 14 - ``` 15 - 70% Frontotemporal Dementia 16 - 25% Vascular Dementia 17 - 5% Normal Pressure Hydrocephalus 18 - ``` 19 - - ~*~*Use Case:~*~* Ranking differential diagnoses in complex cases. 30 +~1. Click on a notebook link above to open it inside EBRAINS Jupyter Lab. 31 +2. If prompted, select the Python 3 (ipykernel) kernel. 32 +3. Run each cell sequentially (Shift + Enter). 33 +4. Check outputs and modify parameters as needed. 34 +5. Download results if necessary. 20 20 21 -2. ~*~*Tridimensional Diagnosis Notebook~*~* 22 - - [Open Notebook](https:~/~/lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/Neurodiagnoses/tridimensional_diagnosis.ipynb) 23 - - AI provides structured diagnostic annotations based on: 24 - - Axis 1: ~*~*Etiology~*~* (genetic, metabolic, autoimmune, vascular) 25 - - Axis 2: ~*~*Molecular Biomarkers~*~* (CSF, PET, EEG, MRI features) 26 - - Axis 3: ~*~*Neuroanatomoclinical Correlations~*~* (functional brain regions, atrophy) 27 - - ~*~*Use Case:~*~* Precision neurology for biomarker-based classification. 36 +~-~-- 28 28 29 -Both notebooks run on ~*~*EBRAINS Jupyter Lab~*~* and are available for real-time clinical testing. 38 +~=== Contribute a New Notebook === 39 +Do you have a notebook to contribute? Follow these steps: 30 30 41 +~1. Create a new Jupyter Notebook in EBRAINS. 42 +2. Save it inside `/shared/Neurodiagnoses/`. 43 +3. Add the notebook link to this page. 44 +4. Ensure documentation is included in the first cell. 45 + 31 31 ~-~-- 47 + 48 +~=== Additional Resources === 49 +- EBRAINS Jupyter Lab: [Visit Here](https:~/~/lab.jsc.ebrains.eu/) 50 +- GitHub Repository: [Neurodiagnoses GitHub](https:~/~/github.com/manuelmenendezgonzalez/neurodiagnoses) 51 +- Project Wiki: [Neurodiagnoses Wiki](https:~/~/wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/) 32 32