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Biomedical Engineering Letters|January 26, 2026
Generative AI for developing foundation models in radiology and imaging: engineering perspectivesJune-Goo Lee, Sunggu Kyung, Namkug Kim
La Radiologia Medica|September 3, 2024
Conceptual review of outcome metrics and measures used in clinical evaluation of artificial intelligence in radiologySeong Ho Park, Kyunghwa Han, June-Goo Lee
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Virtual colon tagging for electronic cleansing in dual-energy fecal-tagging CT colonographyWenli Cai, Se Hyung Kim, June-Goo Lee, et al.
IEEE Transactions on Medical Imaging|October 19, 2010
Mosaic decomposition: an electronic cleansing method for inhomogeneously tagged regions in noncathartic CT colonographyWenli Cai, June-Goo Lee, Michael E Zalis, et al.
Radiographics : a Review Publication of the Radiological Society of North America, Inc|March 13, 2013
Informatics in radiology: dual-energy electronic cleansing for fecal-tagging CT colonographyWenli Cai, Se Hyung Kim, June-Goo Lee, et al.
Korean Circulation Journal|December 19, 2023
Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery DiseaseGyu-Jun Jeong, Gaeun Lee, June-Goo Lee, et al.
Journal of Digital Imaging|November 23, 2018
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT ScansMinho Lee, June-Goo Lee, Namkug Kim, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 8, 2012
MDCT quantification is the dominant parameter in decision-making regarding chest tube drainage for stable patients with traumatic pneumothoraxWenli Cai, June-Goo Lee, Karim Fikry, et al.
Radiology|September 26, 2023
Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do ItSeong Ho Park, Ah-Ram Sul, Yousun Ko, et al.
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