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 editionVollmer, 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 - HarvardVollmer, 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.