NEDELCU, Andrea, OERTHER, Benedict, ENGEL, Hannes, SIGLE, August, SCHMUCKER, Christine, SCHOOTS, Ivo, EISENBLÄTTER, Michel und BENNDORF, Matthias, 2023. A machine learning framework reduces the manual workload for systematic reviews of the diagnostic performance of prostate magnetic resonance imaging. Freiburg: Universität.
Elsevier - Harvard (with titles)Nedelcu, A., Oerther, B., Engel, H., Sigle, A., Schmucker, C., Schoots, I., Eisenblätter, M., Benndorf, M., 2023. A machine learning framework reduces the manual workload for systematic reviews of the diagnostic performance of prostate magnetic resonance imaging. Universität, Freiburg. https://doi.org/10.1016/j.euros.2023.07.005
American Psychological Association 7th editionNedelcu, A., Oerther, B., Engel, H., Sigle, A., Schmucker, C., Schoots, I., Eisenblätter, M., & Benndorf, M. (ca. 2023). A machine learning framework reduces the manual workload for systematic reviews of the diagnostic performance of prostate magnetic resonance imaging [Cd]. Universität. https://doi.org/10.1016/j.euros.2023.07.005
Springer - Basic (author-date)Nedelcu A, Oerther B, Engel H, Sigle A, Schmucker C, Schoots I, Eisenblätter M, Benndorf M (2023) A machine learning framework reduces the manual workload for systematic reviews of the diagnostic performance of prostate magnetic resonance imaging. Universität, Freiburg
Juristische Zitierweise (Stüber) (Deutsch)Nedelcu, Andrea/ Oerther, Benedict/ Engel, Hannes/ Sigle, August/ Schmucker, Christine/ Schoots, Ivo/ Eisenblätter, Michel/ Benndorf, Matthias, A machine learning framework reduces the manual workload for systematic reviews of the diagnostic performance of prostate magnetic resonance imaging, Freiburg 2023.