American Psychological Association 6th edition

Nunez-Iglesias, J., Kennedy, R., Plaza, S. M., Chakraborty, A., & Katz, W. T. (2014). Graph-based active learning of agglomeration (GALA): a Python library to segment 2 D and 3 D neuroimages. Frontiers in Neuroinformatics, 1-6. https://doi.org/10.3389/fninf.2014.00034

ISO-690 (author-date, English)

NUNEZ-IGLESIAS, Juan, KENNEDY, Ryan, PLAZA, Stephen M., CHAKRABORTY, Anirban und KATZ, William T., 2014. Graph-based active learning of agglomeration (GALA): a Python library to segment 2 D and 3 D neuroimages. Frontiers in Neuroinformatics. 1 April 2014. P. 1-6. DOI 10.3389/fninf.2014.00034.

Modern Language Association 9th edition

Nunez-Iglesias, J., R. Kennedy, S. M. Plaza, A. Chakraborty, und W. T. Katz. „Graph-Based Active Learning of Agglomeration (GALA): A Python Library to Segment 2 D and 3 D Neuroimages.“. Frontiers in Neuroinformatics, April 2014, S. 1-6, https://doi.org/10.3389/fninf.2014.00034.

Mohr Siebeck - Recht (Deutsch - Österreich)

Nunez-Iglesias, Juan/Kennedy, Ryan/Plaza, Stephen M./Chakraborty, Anirban/Katz, William T.: Graph-based active learning of agglomeration (GALA): a Python library to segment 2 D and 3 D neuroimages., Frontiers in Neuroinformatics 2014, 1-6.

Emerald - Harvard

Nunez-Iglesias, J., Kennedy, R., Plaza, S.M., Chakraborty, A. und Katz, W.T. (2014), „Graph-based active learning of agglomeration (GALA): a Python library to segment 2 D and 3 D neuroimages.“, Frontiers in Neuroinformatics, S. 1-6.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.