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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 106 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 93 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 74 1

  4. EEGDataAugmentations EEGDataAugmentations Public

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

    Jupyter Notebook 72