448 results on '"Miller, Robert J. H."'
Search Results
2. AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
3. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients
4. Artificial Intelligence and Nuclear Imaging
5. Increasing frequency of dyspnea among patients referred for cardiac stress testing
6. Diagnostic accuracy of bone scintigraphy imaging for transthyretin cardiac amyloidosis: systematic review and meta-analysis
7. Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables
8. Decline in typical angina among patients referred for cardiac stress testing
9. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
10. Temporal trends in disease-specific causes of cardiovascular mortality amongst patients with cancer in the USA between 1999 to 2019.
11. Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging
12. Prevalence, incidence and clinical outcomes of epicardial coronary artery disease among transthyretin amyloidosis cardiomyopathy patients
13. External validation of the CRAX2MACE model
14. Hot spot imaging in cardiovascular diseases: an information statement from SNMMI, ASNC, and EANM
15. Deep learning to automate SPECT MPI myocardial reorientation
16. Development and validation of ischemia risk scores
17. Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images
18. Prevalence and predictors of automatically quantified myocardial ischemia within a multicenter international registry
19. Quantifying is believing: Techniques for evaluating transthyretin cardiac amyloidosis burden for expanded clinical applications
20. Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry
21. The prevalence and predictors of inducible myocardial ischemia among patients referred for radionuclide stress testing
22. Amyloidosis and COVID-19: experience from an amyloid program in Canada
23. Machine learning to predict abnormal myocardial perfusion from pre-test features
24. Quantitative technetium pyrophosphate and cardiovascular magnetic resonance in patients with suspected cardiac amyloidosis
25. Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT
26. Developing a framework for evaluating and comparing risk models
27. In the thick of it: highlighting the importance of SPECT imaging
28. Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging
29. Novel Techniques: Solid-State Detectors, Dose Reduction (SPECT/CT)
30. Artificial intelligence for disease diagnosis and risk prediction in nuclear cardiology
31. Deep learning-based attenuation map generation and correction; could it be useful clinically?
32. Artificial intelligence-based attenuation correction; closer to clinical reality?
33. Deep learning-based epicardial adipose tissue measurement, maximizing prognostic information from attenuation correction imaging
34. Prognostic value of early left ventricular ejection fraction reserve during regadenoson stress solid-state SPECT-MPI
35. Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry
36. Quantitative Assessment of Cardiac Hypermetabolism and Perfusion for Diagnosis of Cardiac Sarcoidosis
37. The application of artificial intelligence in nuclear cardiology
38. Prognostic Performance of Myocardial Perfusion and Function
39. Deep Learning-Enabled Quantification of 99mTc-Pyrophosphate SPECT/CT for Cardiac Amyloidosis.
40. 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.
41. Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry.
42. Defining the role for PET myocardial blood flow early post cardiac transplant
43. Elucidating the pathophysiology of left bundle branch block related perfusion defects
44. CZT camera systems may provide better risk stratification for low-risk patients
45. Diagnostic and prognostic value of Technetium-99m pyrophosphate uptake quantitation for transthyretin cardiac amyloidosis
46. Sex-based differences in the phenotypic expression and prognosis of idiopathic non-ischaemic cardiomyopathy: a cardiovascular magnetic resonance study
47. Quantification of myocardial blood flow by CZT-SPECT with motion correction and comparison with 15O-water PET
48. Novel Techniques: Solid-State Detectors, Dose Reduction (SPECT/CT)
49. Prediction of revascularization by coronary CT angiography using a machine learning ischemia risk score
50. Quantitative clinical nuclear cardiology, part 2: Evolving/emerging applications
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