578 results on '"Yoon, Soon Ho"'
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2. Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities
3. Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysis
4. Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters
5. CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
6. Design and manufacturing of a thermoplastic composite fan blade: Process-induced deformation simulation with fiber-draping analysis and its experimental validation
7. Prognostic utility of body composition parameters based on computed tomography analysis of advanced non-small cell lung cancer treated with immune checkpoint inhibitors
8. CT analysis of thoracolumbar body composition for estimating whole-body composition
9. Diagnostic performance of standardized typical CT findings for COVID-19: a systematic review and meta-analysis
10. Prognostic value of deep learning–based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis
11. Body composition analysis using convolutional neural network in predicting postoperative pancreatic fistula and survival after pancreatoduodenectomy for pancreatic cancer
12. Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network
13. Fatigue evaluation test method using the inertia generator for the ultra-large offshore wind turbine blade
14. Artificial intelligence system for identification of false-negative interpretations in chest radiographs
15. Deep Learning-Based Prediction Model Using Radiography in Nontuberculous Mycobacterial Pulmonary Disease
16. Preoperative percutaneous needle lung biopsy techniques and ipsilateral pleural recurrence in stage I lung cancer
17. CT and 18F-FDG PET abnormalities in contacts with recent tuberculosis infections but negative chest X-ray
18. Development of a deep learning-based fully automated segmentation of rotator cuff muscles from clinical MR scans.
19. Prospective evaluation of thoracic diseases using a compact flat-panel detector spiral computed tomographic scanner
20. Automatic pulmonary vessel segmentation on noncontrast chest CT: deep learning algorithm developed using spatiotemporally matched virtual noncontrast images and low-keV contrast-enhanced vessel maps
21. Deep learning segmentation and registration-driven lung parenchymal volume and movement CT analysis in prone positioning
22. Association between body fat decrease during the first year after diagnosis and the prognosis of idiopathic pulmonary fibrosis: CT-based body composition analysis
23. Radiographic severity and treatment outcome of Mycobacterium abscessus complex pulmonary disease
24. Diagnostic procedures and clinico-radiological findings of acute fibrinous and organizing pneumonia: a systematic review and pooled analysis
25. CT quantification of the heterogeneity of fibrosis boundaries in idiopathic pulmonary fibrosis
26. Variability in interpretation of low-dose chest CT using computerized assessment in a nationwide lung cancer screening program: comparison of prospective reading at individual institutions and retrospective central reading
27. Incidence, risk factors, and prognostic indicators of symptomatic air embolism after percutaneous transthoracic lung biopsy: a systematic review and pooled analysis
28. Cluster analysis of thoracic muscle mass using artificial intelligence in severe pneumonia.
29. Artificial intelligence-based radiographic extent analysis to predict tuberculosis treatment outcomes: a multicenter cohort study.
30. Treatment Guidance for Patients With Lung Cancer During the Coronavirus 2019 Pandemic
31. A Novel Algorithm to Differentiate Between Multiple Primary Lung Cancers and Intrapulmonary Metastasis in Multiple Lung Cancers With Multiple Pulmonary Sites of Involvement
32. Deep Learning–Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study
33. AI for Detection of Tuberculosis: Implications for Global Health
34. Initial Sarcopenia and Body Composition Changes as Prognostic Factors in Cervical Cancer Patients Treated with Concurrent Chemoradiation: An Artificial Intelligence-Based Volumetric Study
35. Effectiveness of COVID-19 Vaccines Over Time Against Clinical and Radiologic Outcomes Related to Severe SARS-CoV-2 Infection
36. Flame-Retardant Aramid Felt-Reinforced Phenolic Coatings For Carbon Fiber-Reinforced Polymers (Cfrps)
37. Implementation of the cloud-based computerized interpretation system in a nationwide lung cancer screening with low-dose CT: comparison with the conventional reading system
38. Usual Interstitial Pneumonia: Associations With Complications After Percutaneous Transthoracic Needle Lung Biopsy
39. Association between body fat parameters and arterial stiffness
40. Prognostic role of computed tomography-based, artificial intelligence-driven waist skeletal muscle volume in uterine endometrial carcinoma
41. Effects of residual oils on the adhesion characteristics of metal-CFRP adhesive joints
42. Personalized 3D-Printed Model for Informed Consent for Stage I Lung Cancer: A Randomized Pilot Trial
43. Clinical insights on outcomes of corticosteroid administration in immune checkpoint inhibitor-induced pneumonitis by retrospective case series analysis
44. Functional Impairment in Small Airways Associated With the Breathlessness Symptoms in Long–Coronavirus Disease.
45. Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.
46. Functional Impairment in Small Airways Associated With the Breathlessness Symptoms in Long–Coronavirus Disease
47. Post-treatment Radiographic Severity and Mortality in Mycobacterium avium Complex Pulmonary Disease
48. #880 Impact of ascites and peritoneal metastatic lesions, measured by newly developed, deep learning-based algorithm, on survival outcomes in advanced epithelial ovarian cancer
49. Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study
50. Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (Preprint)
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