Frontend For Neuroimaging. Open Source

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Brainchop.org brings automatic 3D MRI volumetric segmentation capability to neuroimaging by running a deep learning model in the web-browser on the user side.

We make implementation of brainchop.org freely available releasing its pure javascript code as open-source. The user interface (UI) provides a web-based end-to-end solution for 3D MRI segmentation. Papaya integrated for MRI view. In version 1.3.0 Three.js is used for MRI 3D rendering. For more information on brainchop please refer to this Wiki and this Blog . For questions or sharing ideas please refere to our Discussions board.

To see the tool in action please click here.

• Brainchop 1-page abstract and poster is accepted in 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023)

• Google, Tensorflow community spotlight award for brainchop (Sept 2022) on Linkedin and Twitter

• Brainchop invited to Pytorch flag conference, New Orleans, Louisiana (Dec 2022)

Mohamed Masoud, Farfalla Hu and Sergey Plis. (2022). Brainchop : In-browser MRI volumetric segmentation and rendering (v1.4.0). Zenodo. https://doi.org/10.5281/zenodo.6565234

This work was funded by the NIH grant RF1MH121885. Additional support from NIH R01MH123610, R01EB006841 and NSF 2112455.