964 results on '"Summers, Ronald"'
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2. AI-based abdominal CT measurements of orthotopic and ectopic fat predict mortality and cardiometabolic disease risk in adults
3. Subcutaneous edema segmentation on abdominal CT using multi-class labels and iterative annotation
4. Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study
5. Segmentation of mediastinal lymph nodes in CT with anatomical priors
6. Adjusting for the effect of IV contrast on automated CT body composition measures during the portal venous phase
7. Correlation of HbA1c levels with CT-based body composition biomarkers in diabetes mellitus and metabolic syndrome
8. Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine
9. AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals
10. Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
11. Comparing fully automated AI body composition measures derived from thin and thick slice CT image data
12. Metrics reloaded: recommendations for image analysis validation
13. Understanding metric-related pitfalls in image analysis validation
14. Automated detection of incidental abdominal aortic aneurysms on computed tomography
15. Universal detection and segmentation of lymph nodes in multi-parametric MRI
16. Longitudinal follow-up of incidental renal calculi on computed tomography
17. A Comparison of CT-Based Pancreatic Segmentation Deep Learning Models
18. Interpretable medical image Visual Question Answering via multi-modal relationship graph learning
19. Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
20. Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification
21. Artificial intelligence tool detection of intravenous contrast enhancement using spleen attenuation
22. AI-based opportunistic quantitative image analysis of lung cancer screening CTs to reduce disparities in osteoporosis screening
23. Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data
24. Detection of abdominopelvic lymph nodes in multi-parametric MRI
25. Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis
26. C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
27. Radiologic reporting of MRI-proven thoracolumbar epidural metastases on body CT: 12-Year single-institution experience
28. Fully automated CT-based adiposity assessment: comparison of the L1 and L3 vertebral levels for opportunistic prediction
29. Universal lymph node detection in T2 MRI using neural networks
30. Differential diagnosis of bone marrow failure syndromes guided by machine learning
31. Robust convolutional neural networks against adversarial attacks on medical images
32. Global-Local attention network with multi-task uncertainty loss for abnormal lymph node detection in MR images
33. Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities
34. Applications of Artificial Intelligence in 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography: Current State and Future Directions
35. Trustworthy Artificial Intelligence in Medical Imaging
36. Artificial Intelligence in Lymphoma PET Imaging: A Scoping Review (Current Trends and Future Directions)
37. The Medical Segmentation Decathlon
38. Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans
39. Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen
40. Discriminative ensemble learning for few-shot chest x-ray diagnosis
41. A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis
42. Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort
43. Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT
44. Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study
45. A Machine Learning Algorithm to Estimate Sarcopenia on Abdominal CT
46. Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast
47. Confounding factors need to be accounted for in assessing bias by machine learning algorithms
48. A Road Map for Translational Research on Artificial Intelligence in Medical Imaging: From the 2018 National Institutes of Health/RSNA/ACR/The Academy Workshop
49. Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures.
50. Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation
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