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Found 4 papers, 0 papers with code
Generative Models for Reproducible Coronary Calcium Scoring
Interscan reproducibility was compared to clinical calcium scoring in radiotherapy treatment planning CTs of 1, 662 patients, each having two scans.
Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images
Global landmark locations are obtained by averaging the predicted displacement vectors, where the contribution of each displacement vector is weighted by the posterior classification probability of the patch that it is pointing from.
Automatic Segmentation of Thoracic Aorta Segments in Low-Dose Chest CT
Hence, we propose an automatic method to segment the ascending aorta, the aortic arch and the thoracic descending aorta in low-dose chest CT without contrast enhancement.
CNN-based Landmark Detection in Cardiac CTA Scans
Under the assumption that patches close to a landmark can determine the landmark location more precisely than patches farther from it, only those patches that contain the landmark according to classification are used to determine the landmark location.
