American Psychological Association 6th edition

Zeeuw, M., Bereska, J., Strampel, M., Wagenaar, L., Janssen, B., Marquering, H., Kemna, R., van Waesberghe, J. H., van den Bergh, J., Nota, I., Moos, S., Nio, Y., Kop, M., Kist, J., Struik, F., Wesdorp, N., Nelissen, J., Rus, K., de Sitter, A., Stoker, J., Huiskens, J., Verpalen, I., & Kazemier, G. (2025). Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow. Insights into Imaging, 16(1). https://doi.org/10.1186/s13244-025-01984-w

ISO-690 (author-date, English)

ZEEUW, Michiel, BERESKA, Jacqueline, STRAMPEL, Marius, WAGENAAR, Luuk, JANSSEN, Boris, MARQUERING, Henk, KEMNA, Ruby, VAN WAESBERGHE, Jan Hein, VAN DEN BERGH, Janneke, NOTA, Irene, MOOS, Shira, NIO, Yung, KOP, Marnix, KIST, Jakob, STRUIK, Femke, WESDORP, Nina, NELISSEN, Jules, RUS, Katinka, DE SITTER, Alexandra, STOKER, Jaap, HUISKENS, Joost, VERPALEN, Inez und KAZEMIER, Geert, 2025. Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow. Insights into Imaging. 1 Dezember 2025. Vol. 16, no. 1, . DOI 10.1186/s13244-025-01984-w.

Modern Language Association 9th edition

Zeeuw, M., J. Bereska, M. Strampel, L. Wagenaar, B. Janssen, H. Marquering, R. Kemna, J. H. van Waesberghe, J. van den Bergh, I. Nota, S. Moos, Y. Nio, M. Kop, J. Kist, F. Struik, N. Wesdorp, J. Nelissen, K. Rus, A. de Sitter, J. Stoker, J. Huiskens, I. Verpalen, und G. Kazemier. „Evaluation of a Deep-Learning Segmentation Model for Patients With Colorectal Cancer Liver Metastases (COALA) in the Radiological Workflow“. Insights into Imaging, Bd. 16, Nr. 1, Dezember 2025, https://doi.org/10.1186/s13244-025-01984-w.

Mohr Siebeck - Recht (Deutsch - Österreich)

Zeeuw, Michiel/Bereska, Jacqueline/Strampel, Marius/Wagenaar, Luuk/Janssen, Boris/Marquering, Henk u. a.: Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow, Insights into Imaging 2025,

Emerald - Harvard

Zeeuw, M., Bereska, J., Strampel, M., Wagenaar, L., Janssen, B., Marquering, H., Kemna, R., van Waesberghe, J.H., van den Bergh, J., Nota, I., Moos, S., Nio, Y., Kop, M., Kist, J., Struik, F., Wesdorp, N., Nelissen, J., Rus, K., de Sitter, A., Stoker, J., Huiskens, J., Verpalen, I. und Kazemier, G. (2025), „Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow“, Insights into Imaging, Vol. 16 No. 1, verfügbar unter:https://doi.org/10.1186/s13244-025-01984-w.

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