BEN

A generalized Brain Extraction Net for multimodal MRI data from rodents, nonhuman primates, and humans.

BEN is a domain-adaptive and semi-supervised deep neural network, to extract brain tissues across species, MRI modalities, and MR scanners. Compared to conventional toolboxes, the superiority of BEN is illustrated by its robustness, accuracy, and generalizability. Our proposed method not only provides a generalized solution for extracting brain tissue across species but also significantly improves the accuracy of atlas registration, thereby benefiting the downstream processing tasks. As a novel fully automated deep-learning method, BEN is designed as an open-source software to enable high-throughput processing of neuroimaging data across species in preclinical and clinical applications.

Manuscript

Please see the manuscript in biorxiv to learn more.

Getting started with BEN

Browse tutorials and usages.

Contributing to BEN

We are happy about any contributions! (MRI data / trained weight / plug-in function code)

BEN follows the open-access paradigm, allowing users to save their updated models and share their weights for use by the neuroimaging community.

Besides, the accumulation of additional imaging data will further improve the performance of BEN and support the exploration of complex neuroimaging research.

If you have any suggestions, feel free to contact our corresponding author.