2 papers
eess.IV2021
Single volume lung biomechanics from chest computed tomography using a mode preserving generative adversarial network
Muhammad F. A. Chaudhary, Sarah E. Gerard, Di Wang +5
Local tissue expansion of the lungs is typically derived by registering computed tomography (CT) scans acquired at multiple lung volumes. However, acquiring multiple scans incurs i…
eess.IV2019
Adversarial regression training for visualizing the progression of chronic obstructive pulmonary disease with chest x-rays
Ricardo Bigolin Lanfredi, Joyce D. Schroeder, Clement Vachet +1
Knowledge of what spatial elements of medical images deep learning methods use as evidence is important for model interpretability, trustiness, and validation. There is a lack of s…