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Chulkyun Ahn

Showing results (11-20 of 21) with videos related to

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Abdominal Radiology (New York)|September 13, 2023
Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasisTaehee Lee, Jeong Hee Yoon, Jin Young Park, et al.
Korean Journal of Radiology|April 30, 2026
Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective StudySeunghyun Song, Eun-Suk Cho, YuSik Kim, et al.
Journal of the Korean Society of Radiology|June 17, 2026
Additional Dose Reduction Potential of Vendor-Agnostic Deep Learning Model: A Phantom StudyJisu Kim, Won Chang, Jong Hyo Kim, et al.
European Journal of Radiology|June 20, 2022
Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard reconstruction techniqueJune Young Seo, Ijin Joo, Jeong Hee Yoon, et al.
European Radiology|March 19, 2023
Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind studyHyo-Jin Kang, Jeong Min Lee, Chulkyun Ahn, et al.
European Radiology|August 14, 2021
Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom studyHyunsu Choi, Won Chang, Jong Hyo Kim, et al.
European Radiology|April 5, 2022
Deep learning-based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasisTaehee Lee, Jeong Min Lee, Jeong Hee Yoon, et al.
BMC Medical Imaging|September 11, 2023
75% radiation dose reduction using deep learning reconstruction on low-dose chest CTGyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, et al.
European Radiology|November 25, 2021
Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructionsSungeun Park, Jeong Hee Yoon, Ijin Joo, et al.
Journal of Thoracic Imaging|June 24, 2022
A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed TomographyHyewon Choi, Hyungjin Kim, Kwang Nam Jin, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

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Pageof 3
Abdominal Radiology (New York)|September 13, 2023
Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasisTaehee Lee, Jeong Hee Yoon, Jin Young Park, et al.
Korean Journal of Radiology|April 30, 2026
Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective StudySeunghyun Song, Eun-Suk Cho, YuSik Kim, et al.
Journal of the Korean Society of Radiology|June 17, 2026
Additional Dose Reduction Potential of Vendor-Agnostic Deep Learning Model: A Phantom StudyJisu Kim, Won Chang, Jong Hyo Kim, et al.
European Journal of Radiology|June 20, 2022
Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard reconstruction techniqueJune Young Seo, Ijin Joo, Jeong Hee Yoon, et al.
European Radiology|March 19, 2023
Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind studyHyo-Jin Kang, Jeong Min Lee, Chulkyun Ahn, et al.
European Radiology|August 14, 2021
Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom studyHyunsu Choi, Won Chang, Jong Hyo Kim, et al.
European Radiology|April 5, 2022
Deep learning-based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasisTaehee Lee, Jeong Min Lee, Jeong Hee Yoon, et al.
BMC Medical Imaging|September 11, 2023
75% radiation dose reduction using deep learning reconstruction on low-dose chest CTGyeong Deok Jo, Chulkyun Ahn, Jung Hee Hong, et al.
European Radiology|November 25, 2021
Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructionsSungeun Park, Jeong Hee Yoon, Ijin Joo, et al.
Journal of Thoracic Imaging|June 24, 2022
A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed TomographyHyewon Choi, Hyungjin Kim, Kwang Nam Jin, et al.
Pageof 3