An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications

Anand P. Santhanam, Michael Lauria, Brad Stiehl, Daniel Elliott, Saty Seshan, Scott Hsieh, Minsong Cao, Daniel Low. An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT for adaptive prostate radiotherapy applications. In Ivana Isgum, Bennett A. Landman, editors, Medical Imaging 2020: Image Processing, SPIE MEDICAL IMAGING, Houston, TX, USA, February 15-20, 2020. Volume 11313 of SPIE Proceedings, SPIE, 2020. [doi]