146 results on '"Scholten, Ernst T"'
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2. Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection
3. Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals
4. Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
5. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
6. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge
7. Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules
8. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge
9. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
10. Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans
11. Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules
12. Malignancy estimation of Lung-RADS criteria for subsolid nodules on CT: accuracy of low and high risk spectrum when using NLST nodules
13. Explainable emphysema detection on chest radiographs with deep learning
14. Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists
15. Deep Learning for Malignancy Risk Estimation of Pulmonary Nodules Detected at Low-Dose Screening CT
16. Management of lung nodules detected by volume CT scanning
17. CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?
18. Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice?
19. Deep learning for malignancy risk estimation of pulmonary nodules detected at low-dose screening CT
20. Deep learning for lung cancer detection on screening ct scans: Results of a large-scale public competition and an observer study with 11 radiologists
21. CT-Detected Subsolid Nodules: A Predictor of Lung Cancer Development at Another Location?
22. Characteristics of Lung Cancers Detected by Computer Tomography Screening in the Randomized NELSON Trial
23. COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
24. Typical CT Features of Intrapulmonary Lymph Nodes: A Review
25. Fully Automatic Volume Measurement of the Spleen at CT Using Deep Learning
26. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
27. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
28. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
29. Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification
30. Handling label noise through model confidence and uncertainty: application to chest radiograph classification
31. Association between the number and size of intrapulmonary lymph nodes and chronic obstructive pulmonary disease severity.
32. Classification of CT Pulmonary Opacities as Perifissural Nodules: Reader Variability
33. Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population
34. In vivo growth of 60 non-screening detected lung cancers: a computed tomography study
35. Lung cancer risk to personalise annual and biennial follow-up computed tomography screening
36. Visual discrimination of screen-detected persistent from transient subsolid nodules: An observer study
37. In vivo growth of 60 non-screening detected lung cancers : a computed tomography study
38. Brock malignancy risk calculator for pulmonary nodules : validation outside a lung cancer screening population
39. Brock malignancy risk calculator for pulmonary nodules: validation outside a lung cancer screening population
40. In vivo growth of 60 non-screening detected lung cancers: a computed tomography study
41. Automatic segmentation of the solid core and enclosed vessels in subsolid pulmonary nodules
42. Lung-RADS Category 4X: Does It Improve Prediction of Malignancy in Subsolid Nodules?
43. Erratum: Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules? (vol 45, pg 765, 2015)
44. Automatic Pulmonary Artery-Vein Separation and Classification in Computed Tomography Using Tree Partitioning and Peripheral Vessel Matching
45. Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management
46. Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?
47. Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management
48. Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules?
49. Erratum: Towards a close computed tomography monitoring approach for screen detected subsolid pulmonary nodules? (vol 45, pg 765, 2015)
50. Observer Variability for Classification of Pulmonary Nodules on Low-Dose CT Images and Its Effect on Nodule Management
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