Search Results - "Chulkyun Ahn" :: K.UTB vyhledávací portál

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

by Nam, Ju Gang, Ahn, Chulkyun, Choi, Hyewon, Hong, Wonju, Park, Jongsoo, Kim, Jong Hyo, Goo, Jin Mo
Published in European radiology (01.07.2021)

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Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study

by Chun, Minsoo, Choi, Jin Hwa, Kim, Sihwan, Ahn, Chulkyun, Kim, Jong Hyo
Published in PloS one (20.07.2022)

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AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography

by Ahn, Chulkyun, Kim, Jong Hyo
Published in Diagnostics (Basel) (31.12.2023)

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Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions

by Park, Sungeun, Yoon, Jeong Hee, Joo, Ijin, Yu, Mi Hye, Kim, Jae Hyun, Park, Junghoan, Kim, Se Woo, Han, Seungchul, Ahn, Chulkyun, Kim, Jong Hyo, Lee, Jeong Min
Published in European radiology (01.05.2022)

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Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: a phantom study

by Choi, Hyunsu, Chang, Won, Kim, Jong Hyo, Ahn, Chulkyun, Lee, Heejin, Kim, Hae Young, Cho, Jungheum, Lee, Yoon Jin, Kim, Young Hoon
Published in European radiology (01.02.2022)

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Deep learning–based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis

by Lee, Taehee, Lee, Jeong Min, Yoon, Jeong Hee, Joo, Ijin, Bae, Jae Seok, Yoo, Jeongin, Kim, Jae Hyun, Ahn, Chulkyun, Kim, Jong Hyo
Published in European radiology (01.09.2022)

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Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

by Nam, Ju Gang, Ahn, Chulkyun, Choi, Hyewon, Hong, Wonju, Park, Jongsoo, Kim, Jong Hyo, Goo, Jin Mo
Published in European radiology (01.08.2021)

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Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT

by Yeoh, Hyunjung, Hong, Sung Hwan, Ahn, Chulkyun, Choi, Ja-Young, Chae, Hee-Dong, Yoo, Hye Jin, Kim, Jong Hyo
Published in Korean journal of radiology (01.11.2021)

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Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction

by Hong, Jung Hee, Park, Eun Ah, Lee, Whal, Ahn, Chulkyun, Kim, Jong Hyo
Published in Korean journal of radiology (01.10.2020)

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75% radiation dose reduction using deep learning reconstruction on low-dose chest CT

by Jo, Gyeong Deok, Ahn, Chulkyun, Hong, Jung Hee, Kim, Da Som, Park, Jongsoo, Kim, Hyungjin, Kim, Jong Hyo, Goo, Jin Mo, Nam, Ju Gang
Published in BMC medical imaging (11.09.2023)

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Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction

by Jung Hee Hong, Eun-Ah Park, Whal Lee, Chulkyun Ahn, Jong-Hyo Kim
Published in Korean journal of radiology (2020)

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Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT

by Hyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, Ja-Young Choi, Hee-Dong Chae, Hye Jin Yoo, Jong Hyo Kim
Published in Korean journal of radiology (2021)

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Estimation of Noise Level and Edge Preservation for Computed Tomography Images: Comparisons in Iterative Reconstruction

by Kim, Sihwan, Ahn, Chulkyun, Jeong, Woo Kyoung, Kim, Jong Hyo, Chun, Minsoo
Published in Progress in Medical Physics (31.12.2021)

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Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load

by Park, Minsu, Hwang, Minhee, Lee, Ji Won, Kim, Kun-Il, Ahn, Chulkyun, Suh, Young Ju, Jeong, Yeon Joo
Published in Journal of computer assisted tomography (10.10.2024)

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Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring

by Choi, Hyewon, Park, Eun-Ah, Ahn, Chulkyun, Kim, Jong-Hyo, Lee, Whal, Jeong, Baren
Published in European radiology (01.06.2023)

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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 study

by Kang, Hyo-Jin, Lee, Jeong Min, Ahn, Chulkyun, Bae, Jae Seok, Han, Seungchul, Kim, Se Woo, Yoon, Jeong Hee, Han, Joon Koo
Published in European radiology (01.05.2023)

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Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard reconstruction technique

by Seo, June Young, Joo, Ijin, Yoon, Jeong Hee, Kang, Hyo Jin, Kim, Sewoo, Kim, Jong Hyo, Ahn, Chulkyun, Lee, Jeong Min
Published in European journal of radiology (01.09.2022)

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Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis

by Lee, Taehee, Yoon, Jeong Hee, Park, Jin Young, Lee, Jihyuk, Choi, Jae Won, Ahn, Chulkyun, Lee, Jeong Min
Published in Abdominal imaging (01.11.2023)

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