9 citations · 9 across the 2 of their papers we have counts for
3 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.IV2021★ 9 cited
Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans
Xinzi He, Jia Guo, Xuzhe Zhang +9
Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…
eess.IV2020
CT Image Segmentation for Inflamed and Fibrotic Lungs Using a Multi-Resolution Convolutional Neural Network
Sarah E. Gerard, Jacob Herrmann, Yi Xin +9
The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis…