American Psychological Association 6th edition

Chen, S., Chen, Y., Xu, X., Li, J., Ye, K., & Chang, T. (2025). Mono-Vi M: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes. Mathematics (2227-7390), 13(21), 3538-3554. https://doi.org/10.3390/math13213538

ISO-690 (author-date, English)

CHEN, Shengli, CHEN, Yuming, XU, Xiaoang, LI, Jiahao, YE, Ke und CHANG, Tianzuo, 2025. Mono-Vi M: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes. Mathematics (2227-7390). 1 November 2025. Vol. 13, no. 21, p. 3538-3554. DOI 10.3390/math13213538.

Modern Language Association 9th edition

Chen, S., Y. Chen, X. Xu, J. Li, K. Ye, und T. Chang. „Mono-Vi M: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes.“. Mathematics (2227-7390), Bd. 13, Nr. 21, November 2025, S. 3538-54, https://doi.org/10.3390/math13213538.

Mohr Siebeck - Recht (Deutsch - Österreich)

Chen, Shengli/Chen, Yuming/Xu, Xiaoang/Li, Jiahao/Ye, Ke/Chang, Tianzuo: Mono-Vi M: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes., Mathematics (2227-7390) 2025, 3538-3554.

Emerald - Harvard

Chen, S., Chen, Y., Xu, X., Li, J., Ye, K. und Chang, T. (2025), „Mono-Vi M: A Self-Supervised Mamba Framework for Monocular Depth Estimation in Endoscopic Scenes.“, Mathematics (2227-7390), Vol. 13 No. 21, S. 3538-3554.

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