This project aims to offer a completely automated and end-to-end artificial intelligence (AI)-driven workflow for curation and preprocessing of large-scale MRI neuro-oncology studies, with subsequent extraction of quantitative phenotypes.

Note that, this is Repository 2/2 of a two-part repository. All usage instructions of this repo can be found at Repository 1/2 at NRG_AI_NeuroOnco_preproc

This project is created by the Neuroinformatics Research Group (NRG) at the Computational Imaging Research Center (Washington University School of Medicine).

If you use I3CR-WANO in your work, please cite:

Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus, "Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)." JCO Clinical Cancer Informatics, no. 7, e2200177, 2023. Available: https://doi.org/10.1200/CCI.22.00177.

Please open a Github issue or send your questions to schakrabarty@mdanderson.org if you run into any errors.

Only intended for research purposes and not for clinical use.