This QSIPrep QC Ratings Prediction app streamlines the assessment of diffusion MRI data quality by automating the prediction of quality control (QC) ratings based on QSIPrep metrics. Designed with ease of use in mind, it allows users to upload their QSIPrep QC metrics CSV file directly into the app. Upon upload, the app promptly generates and displays the predicted QC ratings for the input dataset. Users can effortlessly explore both the input dataset and the predicted ratings, facilitating efficient QC assessment. Additionally, the app offers a convenient download option, allowing users to obtain the predicted QC ratings as a CSV file for further analysis or documentation. With its user-friendly interface and efficient prediction capabilities, this app serves as a valuable tool for researchers and practitioners in the field of diffusion MRI data analysis.

See owner's GitHub repository for more information: https://github.com/richford/qsiqc

Richie-Halford, A., Cieslak, M., Ai, L. et al. An analysis-ready and quality controlled resource for pediatric brain white-matter research. Sci Data 9, 616 (2022). https://doi.org/10.1038/s41597-022-01695-7

This application was not uploaded by the author, but through their publicly available Github repository, https://github.com/richford/qsiqc.