677 results on '"Ruddy, Terrence"'
Search Results
2. AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
3. Apical hypertrophic cardiomyopathy after heart transplantation
4. Risk Stratification in Cardiac Sarcoidosis With Cardiac Positron Emission Tomography: A Systematic Review and Meta-Analysis
5. Myocardial flow reserve recovery in patients with Takotsubo syndrome: Insights from positron emission tomography
6. Role of nuclear cardiology in diagnosis and risk stratification of coronary microvascular disease
7. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
8. Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry
9. Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
10. Targeting atherosclerosis with antihypertensive therapy
11. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
12. Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images
13. Characterizing Hypertension Specialist Care in Canada: A National Survey
14. Radiolabeled Thioflavin-T Derivative PET Imaging for the Assessment of Cardiac Amyloidosis
15. Prevalence and predictors of automatically quantified myocardial ischemia within a multicenter international registry
16. Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry
17. Machine learning to predict abnormal myocardial perfusion from pre-test features
18. Added value to stress myocardial perfusion imaging studies with measurement of left ventricular mass
19. Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT
20. Advances in Single-Photon Emission Computed Tomography: Hardware, Software, and Myocardial Flow Reserve
21. Myocardial Perfusion PET for the Detection and Reporting of Coronary Microvascular Dysfunction: A JACC: Cardiovascular Imaging Expert Panel Statement
22. Myocardial Ischemic Burden and Differences in Prognosis Among Patients With and Without Diabetes: Results From the Multicenter International REFINE SPECT Registry
23. Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning
24. Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry
25. Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study
26. Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT A Multicenter Study
27. Measurement of Myocardial Blood Flow With Positron Emission Tomography and Single-Photon Emission Computed Tomography for Diagnosis of Cardiac Allograft Vasculopathy
28. Clinical Deployment of Explainable Artificial Intelligence of SPECT for Diagnosis of Coronary Artery Disease
29. SNMMI/ACR/ASNC/SCMR joint credentialing statement for cardiac PET/MRI
30. Static CT myocardial perfusion imaging: image quality, artifacts including distribution and diagnostic performance compared to 82Rb PET
31. Impact of cardiac size on diagnostic performance of single-photon emission computed tomography myocardial perfusion imaging: insights from the REgistry of Fast Myocardial Perfusion Imaging with NExt generation single-photon emission computed tomography.
32. Evolving use of PET viability imaging
33. Reduced acquisition times for measurement of myocardial blood flow with 99mTc-tetrofosmin and solid-state detector SPECT
34. Site qualification and clinical interpretation standards for 99mTc-SPECT perfusion imaging in a multi-center study of MITNEC (Medical Imaging Trials Network of Canada)
35. More evidence for adequate test–retest repeatability of myocardial blood flow quantification with 82Rb PET/CT
36. Internal validation of myocardial flow reserve PET imaging using stress/rest myocardial activity ratios with Rb-82 and N-13-ammonia
37. Practical guide for interpreting and reporting cardiac PET measurements of myocardial blood flow: an Information Statement from the American Society of Nuclear Cardiology, and the Society of Nuclear Medicine and Molecular Imaging
38. Comparison of myocardial blood flow and flow reserve with dobutamine and dipyridamole stress using rubidium-82 positron emission tomography
39. On the roles of reproducibility, ethics, and statistical modeling in medical research
40. Prognostic importance of coincidental coronary artery calcification on FDG-PET/CT oncology studies
41. SNMMI/ACR/ASNC/SCMR Joint Credentialing Statement for Cardiac PET/MRI: Endorsed by the American Heart Association
42. Atypical Presentation of Cardiac Sarcoidosis and the Role of Multimodality Imaging
43. Effect of proton pump inhibitors on Rubidium-82 gastric uptake using positron emission tomography myocardial perfusion imaging
44. Straightening out the wrinkles in technetium-99m-labeled bone scintigraphy tracer assessment of cardiac amyloidosis
45. Development and evolution of nuclear cardiology and cardiac PET in Canada.
46. Myocardial blood flow quantification with SPECT.
47. A big step towards clinical implementation of myocardial blood flow quantification with CZT SPECT
48. Upper reference limits of transient ischemic dilation ratio for different protocols on new-generation cadmium zinc telluride cameras: A report from REFINE SPECT registry
49. Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT)
50. Comparison of coronary CT angiography versus functional imaging for CABG patients: A resource utilization analysis
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.