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PhysAI: AI Tools for Physiological Signal Analysis in fMRI

Welcome to the PhysAI project repository! PhysAI aims to facilitate research in the field of neuroimaging by offering cutting-edge tools and resources for working with physiological data collected concurrently with fMRI. Our project is designed to be a collaborative platform for researchers and developers interested in advancing the field.

  • Software Tools: Developed to assess the quality of physiological signals and extract them from fMRI data.
  • Research Outputs: Access to manuscripts, abstracts, posters, and slides detailing our research findings and methodologies.
  • Tutorials: Step-by-step guides on how to utilize the tools provided, ensuring accessibility to users of all levels.
  • Open-Source Data: Shareable, quality-assessed physiological signals and associated datasets for further research and collaboration.

Getting Started

Visit our website for detailed information on how to use PhysAI tools and access our resources.

Contributing

We welcome contributions from the community! If you're interested in collaborating or contributing to the project, please see our CONTRIBUTING.md file for guidelines.

Funding

This work is made possible through the generous support of the BRAIN Initiative, specifically under the NIH grant RF1MH125931.

We are deeply grateful for this support, which played a crucial role in driving our mission to explore the complexities of the brain and body, and to share our findings with the broader scientific community.


This project is actively maintained by: @rgbayrak
Email: [email protected]

For any questions, please feel free to contact the maintainer.

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