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3. Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

4. Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study

6. Radiological and pathological analysis of the galaxy sign in patients with pulmonary mucosa‐associated lymphoid tissue (MALT) lymphoma.

9. Erratum: Correction of Affiliations in the Article “Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019”

12. CT findings of COVID-19-associated pulmonary aspergillosis: a systematic review and individual patient data analysis

17. Impact of diabetes duration on the extent and severity of coronary atheroma burden and long-term clinical outcome in asymptomatic type 2 diabetic patients: evaluation by Coronary CT angiography

21. Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019

30. Korean Clinical Imaging Guideline for Hemoptysis

31. 2018 Korean Clinical Imaging Guideline for Hemoptysis

32. Differential Impact of Chronic Kidney Disease on Coronary Calcification and Atherosclerosis in Asymptomatic Individuals with or without Diabetes: Analysis from a Coronary Computed Tomographic Angiography Registry

33. Erratum: Korean Clinical Imaging Guideline for Hemoptysis

37. Computed Tomography Angiography Images of Coronary Artery Stenosis Provide a Better Prediction of Risk Than Traditional Risk Factors in Asymptomatic Individuals With Type 2 Diabetes: A Long-term Study of Clinical Outcomes

38. The demanding attention of tuberculosis in allogeneic hematopoietic stem cell transplantation recipients: High incidence compared with general population

41. Comparison of coronary computed tomography angiography image quality with high- and low-concentration contrast agents (CONCENTRATE): study protocol for a randomized controlled trial

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