Changes for page Notebooks
Last modified by manuelmenendez on 2025/02/02 07:08
From version 3.1
edited by manuelmenendez
on 2025/02/02 00:47
on 2025/02/02 00:47
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To version 4.1
edited by manuelmenendez
on 2025/02/02 07:08
on 2025/02/02 07:08
Change comment:
There is no comment for this version
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... ... @@ -1,52 +1,32 @@ 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. 1 +~== Neurodiagnoses: AI-Powered Diagnosis == 4 4 5 -~ -~--3 +Neurodiagnoses provides ~*~*two AI-assisted diagnostic systems~*~*, allowing clinicians to compare a ~*~*probabilistic~*~* and a ~*~*structured tridimensional approach~*~*. 6 6 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 - 25 25 ~-~-- 26 26 27 -~=== Howto RunNotebooks ===28 - Touse thenotebooks,followthese steps:7 +~=== Available Notebooks === 8 +Below are the Jupyter Notebooks implementing these diagnostic methods: 29 29 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. 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. 35 35 36 -~-~-- 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. 37 37 38 -~=== Contribute a New Notebook === 39 -Do you have a notebook to contribute? Follow these steps: 29 +Both notebooks run on ~*~*EBRAINS Jupyter Lab~*~* and are available for real-time clinical testing. 40 40 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 - 46 46 ~-~-- 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/) 52 52