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3. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks

7. Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19

12. An Epidemic of Greed: How the University of Pittsburgh Medical Center and 'charitable' hospital systems like it put making money ahead of service to the public

14. Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems

19. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks

21. COVID-19 lesion segmentation using convolutional LSTM for self-attention

25. Abstract 10905: Breast Arterial Calcification as a Novel Predictor of Cardiovascular Disease Risk: A Systematic Review and Meta-Analysis

27. Metal stents are safe and cost‐effective for preoperative biliary drainage in resectable pancreaticobiliary tumours

29. Feasibility and validity of CT-derived fractional flow reserve in patients with severe aortic stenosis: the CAST-FFR study

30. Fractional Flow Reserve following Percutaneous Coronary Intervention

31. Feasibility and Validity of Computed Tomography-Derived Fractional Flow Reserve in Patients With Severe Aortic Stenosis

33. Quantitative Burden of COVID-19 Pneumonia at Chest CT Predicts Adverse Outcomes: A Post Hoc Analysis of a Prospective International Registry

36. Pericoronary adipose tissue and quantitative global non-calcified plaque characteristics from CT angiography do not differ in matched South Asian, East Asian and European-origin Caucasian patients with stable chest pain

38. COVID-19 lesion segmentation using convolutional LSTM for self-attention

43. TCT-386 Ethnic differences in coronary luminal volume, left ventricular mass and CT-derived fractional flow reserve

45. India surprise: After visit, will religious freedom be Obama's legacy?

47. COVID-19 lesion segmentation using convolutional LSTM for self-attention.

48. The Islamic State Eyes Expansion and Recruitment in India.

49. Diagnostic performance of quantitative flow ratio, non-hyperaemic pressure indices and fractional flow reserve for the assessment of coronary lesions in severe aortic stenosis.

50. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.

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