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  • Tehran,Iran

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amrzhd/README.md

Hey 😊, I'm Amir Zahedi

🧠 BCI Reseacher & AI Developer πŸ’»


  • πŸ”­ Exploring Deep Learning Methods in Biomedical Signal Processing.
  • πŸ“‘ Reviewing XAI techniques applied in Biomedical Imaging.
  • πŸ§‘β€πŸ’» Developing EEGNet and MRI Skull Stripping models.
  • πŸ’» Have a coding experience in Backend & IoT
  • πŸ“« Be in touch with me via : [email protected]

Connect with me:

Linkedin Medium: AmirZahedi Kaggle: AmirZahedi ORCID: AmirZahedi

Languages and Tools:

python pytorch tensorflow yolo opencv mne nibabel monai matlab linux django fastapi docker c-plus-plus arduino git

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  1. EEGNet EEGNet Public

    This project focuses on implementing CNN model based on the EEGNet architecture with Pytorch library for classifying motor imagery tasks using EEG data.

    Jupyter Notebook 105 4

  2. MRISkullStripping MRISkullStripping Public

    Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

    Jupyter Notebook 92 2

  3. EEG-MSCNN EEG-MSCNN Public

    This project explores the impact of Multi-Scale CNNs on the classification of EEG signals in Brain-Computer Interface (BCI) systems. By comparing the performance of two models, EEGNet and MSTANN, t…

    Jupyter Notebook 72

  4. EEGDataAugmentations EEGDataAugmentations Public

    GitHub repository featuring EEG data augmentation methods for neural network training.

    Jupyter Notebook 72