KOWALEWSKI KF, GARROW CR, SCHMIDT MW, BENNER L, MÜLLER-STICH BP und NICKEL F, 2019. Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying. Surgical endoscopy. 1 November 2019. Vol. 33, no. 11, p. 3732-3732. DOI 10.1007/s00464-019-06667-4.
Elsevier - Harvard (with titles)Kowalewski KF, Garrow CR, Schmidt MW, Benner L, Müller-Stich BP, Nickel F, 2019. Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying. Surgical endoscopy 33, 3732-3732. https://doi.org/10.1007/s00464-019-06667-4
American Psychological Association 7th editionKowalewski KF, Garrow CR, Schmidt MW, Benner L, Müller-Stich BP, & Nickel F. (2019). Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying. Surgical Endoscopy, 33(11), 3732-3732. https://doi.org/10.1007/s00464-019-06667-4
Springer - Basic (author-date)Kowalewski KF, Garrow CR, Schmidt MW, Benner L, Müller-Stich BP, Nickel F (2019) Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.. Surgical endoscopy 33:3732-3732. https://doi.org/10.1007/s00464-019-06667-4
Juristische Zitierweise (Stüber) (Deutsch)Kowalewski KF/ Garrow CR/ Schmidt MW/ Benner L/ Müller-Stich BP/ Nickel F, Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying., Surgical endoscopy 2019, 3732-3732.