33 results on '"Ella A. Kazerooni"'
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2. Hybrid deep-learning model for volume segmentation of lung nodules in CT images.
3. Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis.
4. Differentiating invasive and pre-invasive lung cancer by quantitative analysis of histopathologic images.
5. Quantitative analysis of CT attenuation distribution patterns of nodule components for pathologic categorization of lung nodules.
6. Automated identification of best-quality coronary artery segments from multiple-phase coronary CT angiography (cCTA) for vessel analysis.
7. Computerized flow and vessel wall analyses of coronary arteries for detection of non-calcified plaques in coronary CT angiography.
8. Quantitative analysis of arterial flow properties for detection of non-calcified plaques in ECG-gated coronary CT angiography.
9. Automatic selection of best quality vessels from multiple-phase coronary CT angiography (cCTA).
10. Robustness evaluation of a computer-aided detection system for pulmonary embolism (PE) in CTPA using independent test set from multiple institutions.
11. False-positive reduction using Hessian features in computer-aided detection of pulmonary nodules on thoracic CT images.
12. Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method.
13. Computerized detection of pulmonary embolism in 3D computed tomographic (CT) images: vessel tracking and segmentation techniques.
14. Computerized luminal analysis for detection of non-calcified plaques in coronary CT angiography.
15. Computerized lung nodule detection on thoracic CT images: combined rule-based and statistical classifier for false-positive reduction.
16. Computerized detection of non-calcified plaques in coronary CT angiography: topological soft-gradient detection method for plaque prescreening.
17. Automatic identification of origins of left and right coronary arteries in CT angiography for coronary arterial tree tracking and plaque detection.
18. Automated registration of coronary arterial trees from multiple phases in coronary CT angiography (cCTA).
19. Multiscale intensity homogeneity transformation method and its application to computer-aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA).
20. Curved planar reformation and optimal path tracing (CROP) method for false positive reduction in computer-aided detection of pulmonary embolism in CTPA.
21. Automatic seed point identification and main artery segmentation for pulmonary vascular tree segmentation and tracking in computed tomographic pulmonary angiography (CTPA).
22. Pulmonary vessel segmentation utilizing curved planar reformation and optimal path finding (CROP) in computed tomographic pulmonary angiography (CTPA) for CAD applications.
23. Computerized detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): improvement of vessel segmentation.
24. Automated segmentation and tracking of coronary arteries in cardiac CT scans: comparison of performance with a clinically used commercial software.
25. Evaluation of computerized detection of pulmonary embolism in independent data sets of computed tomographic pulmonary angiographic (CTPA) scans.
26. Automated segmentation and tracking of coronary arteries in ECG-gated cardiac CT scans.
27. The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
28. Computer-aided diagnosis for interval change analysis of lung nodule features in serial CT examinations.
29. The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics.
30. The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.
31. Automated detection of pulmonary embolism (PE) in computed tomographic pulmonary angiographic (CTPA) images: multiscale hierachical expectation-maximization segmentation of vessels and PEs.
32. The effect of nodule segmentation on the accuracy of computerized lung nodule detection on CT scans: comparison on a data set annotated by multiple radiologists.
33. Automatic pulmonary vessel segmentation in 3D computed tomographic pulmonary angiographic (CTPA) images.
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