American Psychological Association 6th edition

Vollmer, A., Vollmer, M., Lang, G. M., Straub, A., Kübler, A., Gubik, S., Brands, R. C., Hartmann, S., & Saravi, B. E. [ca. 2022]. Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction [Cd]. Freiburg: Universität. https://doi.org/10.3390/app12136740

ISO-690 (author-date, English)

VOLLMER, Andreas, VOLLMER, Michael, LANG, Gernot Michael, STRAUB, Anton, KÜBLER, Alexander, GUBIK, Sebastian, BRANDS, Roman C., HARTMANN, Stefan und SARAVI, Babak Ebrahimzadeh, 2022. Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction. Freiburg: Universität.

Modern Language Association 9th edition

Vollmer, A., M. Vollmer, G. M. Lang, A. Straub, A. Kübler, S. Gubik, R. C. Brands, S. Hartmann, und B. E. Saravi. Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction. cd, Universität, 2022, https://doi.org/10.3390/app12136740.

Mohr Siebeck - Recht (Deutsch - Österreich)

Vollmer, Andreas/Vollmer, Michael/Lang, Gernot Michael/Straub, Anton/Kübler, Alexander/Gubik, Sebastian u. a.: Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction, Freiburg 2022.

Emerald - Harvard

Vollmer, A., Vollmer, M., Lang, G.M., Straub, A., Kübler, A., Gubik, S., Brands, R.C., Hartmann, S. und Saravi, B.E. (2022), Performance analysis of supervised machine learning algorithms for automatized radiographical classification of maxillary third molar impaction, Bd. , Universität, Freiburg, verfügbar unter:https://doi.org/10.3390/app12136740.

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