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Collection of all datasets used to develope AIDAqc

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README.md

Collection of Resources for AIDAqc Pipeline

This repository contains various resources related to the AIDAqc pipeline used in the following Publication: Automated quality control of small animal MR neuroimaging data, DOI: tbd

If you are accessing this repository via a gin.gnode.org DOI link, please note that the data associated with this pipeline is available through the live dataset's content on GIN (contains updates).

Repository Structure:

  • The code for the AIDAqc pipeline can be found in the code/ directory. This code is also linked to GitHub for further reference.

  • The final results generated by the AIDAqc pipeline for each dataset can be located in the respective dataset's output/ folder.

  • Additional documentation related to this project can be accessed via this link.

Accessing the Data:

The data used in the development of the AIDAqc pipeline is not available directly through the DOI associated with this repository. Instead, you can access the data through the live version of this dataset on GIN. Please use the following link to browse and access the data: Link to GIN Repository

Additional Information:

This structured dataset was created with reference to the following publication:

DOI:10.1038/s41597-023-02242-8

If you have any questions or need further assistance, please feel free to contact us.

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datacite.yml
Title Automated quality control of small animal MR neuroimaging data
Authors Aswendt,Markus;University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany ;ORCID:0000-0003-1423-0934
Kalantari,Aref;University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Neurology, Cologne, Germany ;ORCID:0000-0003-3050-0930
Description This dataset is a super-dataset containing all datasets used to develop the AIDAqc pipeline and corresponds to the following Publication (DOI): tbd
License CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/)
References Aref Kalantari, Mehrab Shahbazi, Marc Schneider, Victor Vera Frazão, Avnish Bhattrai, Lorenzo Carnevale, Yujian Diao, Bart A. A. Franx, Francesco Gammaraccio, Lisa-Marie Goncalves, Esther M. van Leeuwen, Annika Michalek, Susanne Mueller, Alejandro Rivera Olvera, Daniel Padro, Adam C. Raikes, Mohamed Kotb Selim, Annette van der Toorn, Roël Vrooman, Patricia Wenk, Philipp Boehm-Sturm, Roberta Diaz Brinton, Eike Budinger, Santiago Canals, Elisenda Eixarch, Giuseppe Lembo, Gianluigi Forloni, Joanes Grandjean, Dario Livio Longo, Khan Hekmatyar, Russell E. Jacobs, Ileana Jelescu, Nyoman D. Kurniawan, Naomi S. Sta Maria, Pedro Ramos-Cabrer, Wilfried Reichardt, Guadalupe Soria, Edoardo Micotti, Emma Muñoz-Moreno, Silvia De Santis, Rick M. Dijkhuizen, Giovanna D. Ielacqua, Markus Aswendt*, 'Automated quality control of preclinical MR neuroimaging data', Available at: DOI:tba. [doi:tba] (IsSupplementTo)
Funding DFG; 431549029 – SFB 1451
Friebe Foundation; T0498/28960/16
Keywords Quality-control
MRI
Preclinical-imaging
DataLad
Resource Type Dataset