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Feasibility of the Threshold-Based Quantification of Myocardial Fibrosis on Cardiac CT as a Prognostic Marker in Nonischemic Dilated Cardiomyopathy.

Autor: Kim NY; Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Im DJ; Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Hong YJ; Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Choi BW; Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Kang SM; Division of Cardiology, Department of Internal Medicine, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Youn JC; Division of Cardiology, Department of Internal Medicine, Seoul St. Mary's Hospital, Catholic Research Institute for Intractable Cardiovascular Disease, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. jong.chan.youn@gmail.com., Lee HJ; Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. iamotwo@yuhs.ac.

Publikováno v: Korean journal of radiology [Korean J Radiol] 2024 Jun; Vol. 25 (6), pp. 540-549.

Comparison of Coronary Computed Tomography Angiography Image Quality With High-concentration and Low-concentration Contrast Agents: The Randomized CONCENTRATE Trial.

Autor: Im DJ; Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine., Kim YH; Department of Radiology, Chonnam National University Hospital, Chonnam University Medical School, Gwangju., Choo KS; Department of Radiology, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Pusan., Kang JW; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine., Jung JI; Department of Radiology, Seoul St. Mary's Hospital., Won Y; Department of Radiology, Uijeongbu St. Mary's Hospital, Catholic University of Korea, Uijeongbu., Kim HR; Department of Radiology, Yeouido St. Mary's Hospital, Catholic University of Korea, Seoul., Chung MH; Department of Radiology, Bucheon St. Mary's Hospital, Catholic University of Korea, Bucheon, Republic of Korea., Han K; Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine., Choi BW; Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine.

Publikováno v: Journal of thoracic imaging [J Thorac Imaging] 2023 Mar 01; Vol. 38 (2), pp. 120-127. Date of Electronic Publication: 2022 Jan 06.

Author Correction: Detection of acute thoracic aortic dissection based on plain chest radiography and a residual neural network (Resnet).

Autor: Lee DK; Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.; Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea., Kim JH; Department of Computer Science, Hanyang University, 222 Wangsimni‑ro, Seongdong‑gu, Seoul, 04763, Republic of Korea., Oh J; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea. ojjai@hanmail.net.; Department of Emergency Medicine, College of Medicine, Hanyang University, 222 Wangsimni‑ro, Seongdong‑gu, Seoul, 04763, Republic of Korea. ojjai@hanmail.net., Kim TH; Department of Computer Science, Hanyang University, 222 Wangsimni‑ro, Seongdong‑gu, Seoul, 04763, Republic of Korea. taehyunkim@hanyang.ac.kr.; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea. taehyunkim@hanyang.ac.kr., Yoon MS; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea., Im DJ; Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea., Chung JH; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea.; Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Hanyang University, Seoul, Republic of Korea.; Department of HY, College of Medicine, KIST Bio-Convergence, Hanyang University, Seoul, Republic of Korea., Byun H; Machine Learning Research Center for Medical Data, Hanyang University, Seoul, Republic of Korea.; Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Hanyang University, Seoul, Republic of Korea.

Publikováno v: Scientific reports [Sci Rep] 2023 Feb 09; Vol. 13 (1), pp. 2324. Date of Electronic Publication: 2023 Feb 09.