Brad Stiehl

According to our database, Brad Stiehl authored at least 4 papers between 2020 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

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

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

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

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

2020

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

Proceedings of the Medical Imaging 2020: Image Processing, 2020