An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT

av Dreizin, David, Goldmann, Florian, LeBedis, Christina, Boscak, Alexis, Dattwyler, Matthew, Bodanapally, Uttam, Li, Guang, Anderson, Stephan, Maier, Andreas, Unberath, Mathias
I publikationen J Digit Imaging (2021)

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation

av Unberath, Mathias, Zaech, Jan-Nico, Gao, Cong, Bier, Bastian, Goldmann, Florian, Lee, Sing Chun, Fotouhi, Javad, Taylor, Russell, Armand, Mehran, Navab, Nassir
I publikationen Int J Comput Assist Radiol Surg (2019)

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views

av Bier, Bastian, Goldmann, Florian, Zaech, Jan-Nico, Fotouhi, Javad, Hegeman, Rachel, Grupp, Robert, Armand, Mehran, Osgood, Greg, Navab, Nassir, Maier, Andreas, Unberath, Mathias
I publikationen Int J Comput Assist Radiol Surg (2019)