4 papers
BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modeling
Ali Keshavarzi, Quentin Bouniot, Benjamin M. Smith +1
Thoracic Computed Tomography (CT) scans offer detailed insights into the intricate branching network of the airway tree, which is essential for understanding various respiratory di…
Multi-View Transformers for Airway-To-Lung Ratio Inference on Cardiac CT Scans: The C4R Study
Sneha N. Naik, Elsa D. Angelini, Eric A. Hoffman +4
The ratio of airway tree lumen to lung size (ALR), assessed at full inspiration on high resolution full-lung computed tomography (CT), is a major risk factor for chronic obstructiv…
Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
Artur Wysoczanski, Nabil Ettehadi, Soroush Arabshahi +10
Pulmonary emphysema, the progressive, irreversible loss of lung tissue, is conventionally categorized into three subtypes identifiable on pathology and on lung computed tomography…
Unsupervised Airway Tree Clustering with Deep Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study
Sneha N. Naik, Elsa D. Angelini, R. Graham Barr +10
High-resolution full lung CT scans now enable the detailed segmentation of airway trees up to the 6th branching generation. The airway binary masks display very complex tree struct…