Unberath, M., Zaech, J.-N., Gao, C., Bier, B., Goldmann, F., Lee, S. C., Fotouhi, J., Taylor, R., Armand, M., & Navab, N. (2019). Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. International Journal of Computer Assisted Radiology & Surgery, 14(9), 1517-1528. https://doi.org/10.1007/s11548-019-02011-2

UNBERATH, Mathias, ZAECH, Jan-Nico, GAO, Cong, BIER, Bastian, GOLDMANN, Florian, LEE, Sing Chun, FOTOUHI, Javad, TAYLOR, Russell, ARMAND, Mehran und NAVAB, Nassir, 2019. Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. International Journal of Computer Assisted Radiology & Surgery. 1 September 2019. Vol. 14, no. 9, p. 1517-1528. DOI 10.1007/s11548-019-02011-2.

Unberath, M., J.-N. Zaech, C. Gao, B. Bier, F. Goldmann, S. C. Lee, J. Fotouhi, R. Taylor, M. Armand, und N. Navab. „Enabling Machine Learning in X-Ray-Based Procedures via Realistic Simulation of Image Formation.“. International Journal of Computer Assisted Radiology & Surgery, Bd. 14, Nr. 9, September 2019, S. 1517-28, https://doi.org/10.1007/s11548-019-02011-2.

Unberath, Mathias/Zaech, Jan-Nico/Gao, Cong/Bier, Bastian/Goldmann, Florian/Lee, Sing Chun u. a.: Enabling machine learning in X-ray-based procedures via realistic simulation of image formation., International Journal of Computer Assisted Radiology & Surgery 2019, 1517-1528.

Unberath, M., Zaech, J.-N., Gao, C., Bier, B., Goldmann, F., Lee, S.C., Fotouhi, J., Taylor, R., Armand, M. und Navab, N. (2019), „Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.“, International Journal of Computer Assisted Radiology & Surgery, Vol. 14 No. 9, S. 1517-1528.