9 citations · 14 across the 3 of their papers we have counts for
4 papers
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…
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…
Geodesic Density Regression for Correcting 4DCT Pulmonary Respiratory Motion Artifacts
Wei Shao, Yue Pan, Oguz C. Durumeric +4
Pulmonary respiratory motion artifacts are common in four-dimensional computed tomography (4DCT) of lungs and are caused by missing, duplicated, and misaligned image data. This pap…
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…