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2. A deep-learning model for intracranial aneurysm detection on CT angiography images in China: a stepwise, multicentre, early-stage clinical validation study

5. How growth without siblings affects adult brain and behavior

8. Machine learning based ischemia-specific stenosis prediction: A Chinese multicenter coronary CT angiography study

9. Prognostic Value of CT-FFR–Based Functional Duke Jeopardy Score in Patients With Suspected CAD

10. Development and Validation of CCTA-based Radiomics Signature for Predicting Coronary Plaques With Rapid Progression

11. Late gadolinium enhanced cardiac MR derived radiomics approach for predicting all-cause mortality in cardiac amyloidosis: a multicenter study

14. FFRCT and Static Computed Tomography Myocardial Perfusion Imaging for Therapeutic Decision-making and Prognosis in Patients With Coronary Artery Disease

15. Multiparametric cardiac magnetic resonance reveals persistent myocardial inflammation in patients with exertional heat illness

21. A Coronary CT Angiography Radiomics Model to Identify Vulnerable Plaque and Predict Cardiovascular Events

24. The prognostic value of CT-derived fractional flow reserve in coronary artery bypass graft: a retrospective multicenter study

25. Optimal Measurement Sites of Coronary-Computed Tomography Angiography-derived Fractional Flow Reserve

29. RORA rs8042149 polymorphism moderates the association between PTSD symptom severity and transverse temporal gyrus thickness in Han Chinese adults who lost their only child

30. Trans-ancestral genome-wide association studies of brain imaging phenotypes

34. Diagnosis of Cardiac Amyloidosis Using a Radiomics Approach Applied to Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images: A Retrospective, Multicohort, Diagnostic Study

36. Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease

39. One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study

41. Prognostic Value of Coronary CT Angiography-Derived Fractional Flow Reserve in Non-obstructive Coronary Artery Disease: A Prospective Multicenter Observational Study

42. Influence of diabetes mellitus on the diagnostic performance of machine learning–based coronary CT angiography–derived fractional flow reserve: a multicenter study

44. Correction to: Serial coronary CT angiography–derived fractional flow reserve and plaque progression can predict long-term outcomes of coronary artery disease

47. Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality

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