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2023_Kalantari_AIDAqc
forkattu lähteestä Aswendt_Lab/2023_Kalantari_AIDAqc
DOI
10.12751/g-node.q82cjj
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94_m_As
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README.md 025b554498 intial save of zipped data 9 kuukautta sitten

README.md

94_m_RT_As

Preclinical MRI data, used to develop AIDAqc tool. This dataset can also be used according to the LICENCE file for other purposes.

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, Susan Lee, Esther M. van Leeuwen, Annika Michalek, Susanne Mueller, Alejandro Rivera Olvera, Daniel Padro, Adam C. Raikes, Mohamed Kotb Selim, Annette van der Toorn, Federico Varriano, Roël Vrooman, Patricia Wenk, H Elliott Albers, Philipp Boehm-Sturm, Eike Budinger, Santiago Canals, Silvia De Santis, Roberta Diaz Brinton, Rick M. Dijkhuizen, Elisenda Eixarch, Gianluigi Forloni, Joanes Grandjean, Khan Hekmatyar, Russell E. Jacobs, Ileana Jelescu, Nyoman D. Kurniawan, Giuseppe Lembo, Dario Livio Longo, Naomi S. Sta Maria, Edoardo Micotti, Emma Muñoz-Moreno, Pedro Ramos-Cabrer, Wilfried Reichardt, Guadalupe Soria, Giovanna D. Ielacqua, Markus Aswendt [doi:tba] (IsSupplementTo)
Funding DFG; 431549029 – SFB 1451
Friebe Foundation; T0498/28960/16
Keywords Quality-control
MRI
Preclinical-imaging
DataLad
Resource Type Dataset