581 results on '"Summers, Ronald"'
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2. Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images
3. Contributors
4. Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports
5. Few-shot chest x-ray diagnosis using discriminative ensemble learning
6. How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
7. Post-contrast CT liver attenuation alone is superior to the liver–spleen difference for identifying moderate hepatic steatosis
8. Detection of abdominopelvic lymph nodes in multi-parametric MRI
9. Adjusting for the effect of IV contrast on automated CT body composition measures during the portal venous phase
10. Segmentation of mediastinal lymph nodes in CT with anatomical priors
11. MP07-19 ARTIFICIAL INTELLIGENCE (AI) FOR MEASURING RENAL CALCULUS VOLUME: INITIAL SINGLE-CENTER DESCRIPTION OF SEQUENTIAL AI-ENHANCED ULTRA-LOW DOSE CT’S
12. AI and machine learning in medical imaging: key points from development to translation
13. Automated plaque detection and Agatston score estimation on non-contrast CT scans: a multicenter study
14. Weakly supervised detection of pheochromocytomas and paragangliomas in CT
15. Utilizing domain knowledge to improve intravenous contrast phase classification of CT scans
16. Unsupervised multi-parametric MRI registration using neural optimal transport
17. The pancreas is all you need: fusion models for opportunistic screening of diabetes using pancreatic CT volumes
18. Self and mixed supervision to improve training labels for multi-class medical image segmentation
19. Automated classification of body MRI sequence type using convolutional neural networks
20. Weakly-supervised detection of bone lesions in CT
21. Weakly supervised learning for subcutaneous edema segmentation of abdominal CT using pseudo-labels and multi-stage nnU-Nets
22. Class Imbalance Correction for Improved Universal Lesion Detection and Tagging in CT
23. Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans
24. Universal Lesion Detection and Classification Using Limited Data and Weakly-Supervised Self-training
25. Automated Assessment of Renal Calculi in Serial Computed Tomography Scans
26. Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations
27. Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
28. Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior
29. Special Section Guest Editorial: Global Health, Bias, and Diversity in AI in Medical Imaging
30. Privacy, Please: Safeguarding Medical Data in Imaging AI Using Differential Privacy Techniques
31. Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing
32. Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI
33. RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
34. Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation
35. Automated detection of incidental abdominal aortic aneurysms on computed tomography
36. C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation
37. Longitudinal follow-up of incidental renal calculi on computed tomography
38. Transparency in Radiology and Nuclear Medicine AI Research: Realistic Expectation or Pipedream?
39. Radiologic reporting of MRI-proven thoracolumbar epidural metastases on body CT: 12-Year single-institution experience
40. Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports
41. E$$^2$$Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans
42. Deep Small Bowel Segmentation with Cylindrical Topological Constraints
43. Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model
44. COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs
45. One Click Lesion RECIST Measurement and Segmentation on CT Scans
46. Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks
47. Automated Deep Learning Artificial Intelligence Tool for Spleen Segmentation on CT: Defining Volume-Based Thresholds for Splenomegaly
48. Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
49. Fully Automated Longitudinal Assessment of Renal Stone Burden on Serial CT Imaging Using Deep Learning
50. CT image-based biomarkers acquired by AI-based algorithms for the opportunistic prediction of falls
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