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 (Image Processing, 2020)

A quantitative prediction of the post-operative lobectomy lung physiology using a GPU-based linear elastic lung biomechanics model and a constrained generative adversarial learning approach. - Anand P. Santhanam; Brad Stiehl; Michael Lauria; Igor Barjaktarevic; Jonathan G. Goldin; Jane Yanagawa; Daniel Low (Image-Guided Procedures, 2021)

Scalable quorum-based deep neural networks with adversarial learning for automated lung lobe segmentation in fast helical free-breathing CTs. - Brad Stiehl; Michael Lauria; Kamal Singhrao; Jonathan G. Goldin; Igor Barjaktarevic; Daniel Low; Anand P. Santhanam (Int. J. Comput. Assist. Radiol. Surg., 2021)

Automatic triangulated mesh generation of pulmonary airways from segmented lung 3DCTs for computational fluid dynamics. - Michael Lauria; Kamal Singhrao; Brad Stiehl; Daniel Low; Jonathan G. Goldin; Igor Barjaktarevic; Anand P. Santhanam (Int. J. Comput. Assist. Radiol. Surg., 2022)