65 citations · 137 across the 8 of their papers we have counts for
8 papers
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation
Muhammad F. A. Chaudhary, Sarah E. Gerard, Gary E. Christensen +4
Chest computed tomography (CT) at inspiration is often complemented by an expiratory CT to identify peripheral airways disease. Additionally, co-registered inspiratory-expiratory v…
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…
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…
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning
Jie Yang, Elsa D. Angelini, Pallavi P. Balte +5
Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease (COPD), and is traditionally subcategorized into three subtypes previously identified on autops…
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
Jie Yang, Elsa D. Angelini, Benjamin M. Smith +5
Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of…