964 results on '"Zhang, Long-Jiang"'
Search Results
2. Assessing the Impact of an Artificial Intelligence-Based Model for Intracranial Aneurysm Detection in CT Angiography on Patient Diagnosis and Outcomes (IDEAL Study)—a protocol for a multicenter, double-blinded randomized controlled trial
3. Coronary chronic total occlusion on coronary CT angiography: what radiologists should know?
4. Late gadolinium enhanced cardiac MR derived radiomics approach for predicting all-cause mortality in cardiac amyloidosis: a multicenter study
5. Multiparametric cardiac magnetic resonance reveals persistent myocardial inflammation in patients with exertional heat illness
6. A 32-Month Follow-Up Study of the Effect of APOE ε4 on the Whole Brain Connection in Young Healthy Individuals
7. The prognostic value of CT-derived fractional flow reserve in coronary artery bypass graft: a retrospective multicenter study
8. A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study
9. Artificial intelligence in coronary computed tomography angiography
10. CT-derived fractional flow reserve in intracranial arterial stenosis: A pilot study based on computational fluid dynamics
11. Cardiovascular magnetic resonance feature tracking derived strain analysis can predict return to training following exertional heatstroke
12. Machine learning based ischemia-specific stenosis prediction: A Chinese multicenter coronary CT angiography study
13. Cardiovascular magnetic resonance imaging in myocardial involvement of systemic lupus erythematosus
14. Hybrid Au-star@Prussian blue for high-performance towards bimodal imaging and photothermal treatment
15. Predicting cognitive impairment in chronic kidney disease patients using structural and functional brain network: An application study of artificial intelligence
16. Time-dependent cardiac structural and functional changes after kidney transplantation: a multi-parametric cardiac magnetic resonance study
17. Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease
18. One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study
19. Influence of temporal resolution on computed tomography feature-tracking strain measurements
20. Aberrant cortical morphology patterns are associated with cognitive impairment in patients with chronic heart failure
21. Influence of diabetes mellitus on the diagnostic performance of machine learning–based coronary CT angiography–derived fractional flow reserve: a multicenter study
22. Solidification microstructure manipulation mechanism of hypoeutectic and hypereutectic Al–Si alloys controlled by trace in-situ nano-Fe2B and nano-Fe3Si
23. Multiparametric Functional Magnetic Resonance Imaging for Evaluating Renal Allograft Injury.
24. Design, synthesis and biological evaluation of novel quinazoline derivatives as potential NF-κb inhibitors
25. Artificial intelligence in imaging of coronary artery disease: current applications and future perspective
26. Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study
27. Optimal Measurement Sites of Coronary-Computed Tomography Angiography-derived Fractional Flow Reserve: The Insight From China CT-FFR Study
28. Computational fluid dynamics based hemodynamics in the management of intracranial aneurysms: state-of-the-art
29. Detection of renal allograft fibrosis with MRI: arterial spin labeling outperforms reduced field-of-view IVIM
30. Serial coronary CT angiography–derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease
31. Feasibility and prognostic role of machine learning-based FFRCT in patients with stent implantation
32. Machine Learning for the Prevalence and Severity of Coronary Artery Calcification in Nondialysis Chronic Kidney Disease Patients: A Chinese Large Cohort Study
33. Automatic quantification of myocardium and pericardial fat from coronary computed tomography angiography: a multicenter study
34. Different posterior hippocampus and default mode network modulation in young APOE ε4 carriers: a functional connectome-informed phenotype longitudinal study
35. The effect of coronary calcification on diagnostic performance of machine learning–based CT-FFR: a Chinese multicenter study
36. The effect of rifaximin and lactulose treatments to chronic hepatic encephalopathy rats: An [18F]PBR146 in‐vivo neuroinflammation imaging study.
37. CT of Coronary Artery Anomalies
38. Impacts of FKBP5 variants on large-scale brain network connectivity in healthy adults
39. Advances in Artificial Intelligence-Assisted Coronary Computed Tomographic Angiography for Atherosclerotic Plaque Characterization
40. How growth without siblings affects adult brain and behavior
41. Cooling control for castings by adopting skeletal sand mold design
42. The neuroinflammation imaging of bifidobacterium and fecal microbiota transplantation: therapeutic effects evaluation in chronic hepatic encephalopathy rats by [18F]PBR146 in-vivo imaging
43. A deep learning approach to characterize 2019 coronavirus disease (COVID-19) pneumonia in chest CT images
44. Gut dysbiosis-influence on amygdala-based functional activity in patients with end stage renal disease: a preliminary study
45. Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease
46. Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease
47. Postchemotherapy hippocampal functional connectivity patterns in patients with breast cancer: a longitudinal resting state functional MR imaging study
48. Development and validation of machine learning prediction model based on computed tomography angiography–derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study
49. Coronary computed tomography angiography derived flow fractional reserve: the state of the art
50. The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography
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