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@@ -6,21 +6,26 @@ The secure, cloud-based service for the semi-automated mapping of entire session | |
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| ### About | ||
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| This is the development repository for a semi-supervised neuroimaging data files to [BIDS](https://bids.neuroimaging.io/) conversion web service. The web service is hosted securely at [brainlife.io/ezbods](https://brainlife.io/ezbids). Documentation and Tutorials will | ||
| This is the development repository for a semi-supervised neuroimaging data files to [BIDS](https://bids.neuroimaging.io/) conversion web service. The web service is hosted securely at [brainlife.io/ezbods](https://brainlife.io/ezbids). | ||
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| Unlike other BIDS converters, ezBIDS eliminates the need for code, and command line interfaces and automatically generates heuristic and configuration files (called ezBIDS Templates). | ||
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| An inferential process analyzes the directory structure and sidecars of the data uploaded to provide an *educated guess* about the data types and content. A web-browser user interface presents the users with a *first guess* mapping of the uploaded data files into a BIDS structure. Finally, users provided with the opportunity to verify the *first guess* and modify the information provided as needed so as to best match the final BIDS structure. | ||
| An inferential process analyzes the directory structure and sidecars of the data uploaded to provide a *first guess* about the data types and content. A web-browser user interface presents the users with a *first guess* mapping of the uploaded data files into a BIDS structure. Finally, users provided with the opportunity to verify the *first guess* and modify the information provided as needed so as to best match the final BIDS structure. | ||
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| Data from all major scanner vendors can be directly uploaded to ezBIDS. ezBIDS provides options for the defacing of anatomical acquisitions. | ||
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| The BIDS output can be downloaded back to the user's computer, or uploaded to open repositories such as | ||
| [brainlife.io](https://brainlife.io/), or in the future, [OpenNeuro](https://openneuro.org/). | ||
| [brainlife.io](https://brainlife.io/), or in the future, [OpenNeuro.org](https://openneuro.org/). | ||
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| ### Usage | ||
| To access the ezBIDS web service, please visit https://brainlife.io/ezbids (Chrome or Firefox browser preferred). | ||
| Helpful links: | ||
| 1. [ezBIDS website](https://brainlife.io/ezbids) (Chrome or Firefox browser preferred) | ||
| 2. [ezBIDS tutorial](https://brainlife.io/docs/tutorial/ezBIDS/) | ||
| 3. [ezBIDS tutorial video](https://www.youtube.com/embed/L8rWA8qgnpo) | ||
| 4. [ezBIDS user documentation](https://brainlife.io/docs/using_ezBIDS/) | ||
| 5. [ezBIDS GitHub repo](https://github.com/brainlife/ezbids) | ||
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| A video demonstration of how to use ezBIDS can be found [here](https://www.youtube.com/watch?v=mY3_bmt_e80). | ||
| ### Usage | ||
| To access the ezBIDS web service, please visit https://brainlife.io/ezbids | ||
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| Users do not need to organize their uploaded data in any specific manner, so long as the data is non-anonymized. The uploaded data can contain any number of sub-folders, and users and may compress (e.g. zip, tar) their upload directory if users so choose. ezBIDS permits two types of data uploads: | ||
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| Once session status becomes "finished", user will be then allowed to download the final "bids" directory via the download API, or send to other cloud resources | ||
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| ### Authors | ||
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| - [Soichi Hayashi]([email protected]) | ||
| - [Daniel Levitas]([email protected]) | ||
| - [Daniel Levitas]([email protected])* | ||
| - [Soichi Hayashi]([email protected])* | ||
| - [Sophia Vinci-Booher]([email protected]) | ||
| - [Anibal Heinsfeld]([email protected]) | ||
| - [Dheeraj Bhatia]([email protected]) | ||
| - [Nicholas Lee]([email protected]) | ||
| - [Anthony Galassi]([email protected]) | ||
| - [Guiomar Niso]([email protected]) | ||
| - [Franco Pestilli]([email protected]) | ||
| * Both authors contributed equally to this work | ||
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| ### Funding Acknowledgement | ||
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| We ask that you the following articles when publishing papers that used data, code or other resources created by the brainlife.io community. | ||
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| 1. Levias, D. et al. **In review** | ||
| 1. Levitas, D. et al. **In review** | ||
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| ### This repo was bootstrapped by | ||
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