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Yunsub Jung

Showing results (1-10 of 10) with videos related to

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Journal of Clinical Medicine|April 27, 2024
Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel GeometryYunsub Jung, Ho Lee, Hoyong Jun, et al.
Plos One|December 27, 2024
A method for comparing MRI sequences of the knee for segmentation based on morphological featuresYunsub Jung, Morten Bilde Simonsen, Michael Skipper Andersen
Scientific Reports|July 19, 2023
Comprehensive evaluation of artifact reduction and tissue recovery effects of metal artifact reduction technique based on full-reference metricYunsub Jung, You Seon Song, In Sook Lee, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
Application of Highly Flexible Adaptive Image Receive Coil for Lung MR Imaging Using Zero TE Sequence: Comparison with Conventional Anterior Array CoilKyungsoo Bae, Kyung Nyeo Jeon, Moon Jung Hwang, et al.
European Radiology|October 15, 2020
CT iterative vs deep learning reconstruction: comparison of noise and sharpnessChankue Park, Ki Seok Choo, Yunsub Jung, et al.
Journal of Clinical Medicine|May 27, 2023
Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography AngiographySeul Ah Koo, Yunsub Jung, Kyoung A Um, et al.
European Journal of Radiology|September 21, 2020
The Optimal Combination of Monochromatic and Metal Artifact Reconstruction Dual-energy CT to Evaluate Total Knee Replacement ArthroplastyJihwan Kim, Chankue Park, Hee Seok Jeong, et al.
Journal of the Belgian Society of Radiology|April 28, 2022
Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative ReconstructionYeo Jin Yoo, In Young Choi, Suk Keu Yeom, et al.
European Radiology|January 22, 2022
Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom studyHye Joo Park, Seo-Youn Choi, Ji Eun Lee, et al.
Quantitative Imaging in Medicine and Surgery|March 14, 2023
Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom studyYunsub Jung, Jin Hur, Kyunghwa Han, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Clinical Medicine|April 27, 2024
Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel GeometryYunsub Jung, Ho Lee, Hoyong Jun, et al.
Plos One|December 27, 2024
A method for comparing MRI sequences of the knee for segmentation based on morphological featuresYunsub Jung, Morten Bilde Simonsen, Michael Skipper Andersen
Scientific Reports|July 19, 2023
Comprehensive evaluation of artifact reduction and tissue recovery effects of metal artifact reduction technique based on full-reference metricYunsub Jung, You Seon Song, In Sook Lee, et al.
Diagnostics (Basel, Switzerland)|January 21, 2022
Application of Highly Flexible Adaptive Image Receive Coil for Lung MR Imaging Using Zero TE Sequence: Comparison with Conventional Anterior Array CoilKyungsoo Bae, Kyung Nyeo Jeon, Moon Jung Hwang, et al.
European Radiology|October 15, 2020
CT iterative vs deep learning reconstruction: comparison of noise and sharpnessChankue Park, Ki Seok Choo, Yunsub Jung, et al.
Journal of Clinical Medicine|May 27, 2023
Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography AngiographySeul Ah Koo, Yunsub Jung, Kyoung A Um, et al.
European Journal of Radiology|September 21, 2020
The Optimal Combination of Monochromatic and Metal Artifact Reconstruction Dual-energy CT to Evaluate Total Knee Replacement ArthroplastyJihwan Kim, Chankue Park, Hee Seok Jeong, et al.
Journal of the Belgian Society of Radiology|April 28, 2022
Evaluation of Abdominal CT Obtained Using a Deep Learning-Based Image Reconstruction Engine Compared with CT Using Adaptive Statistical Iterative ReconstructionYeo Jin Yoo, In Young Choi, Suk Keu Yeom, et al.
European Radiology|January 22, 2022
Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom studyHye Joo Park, Seo-Youn Choi, Ji Eun Lee, et al.
Quantitative Imaging in Medicine and Surgery|March 14, 2023
Radiation dose reduction using deep learning-based image reconstruction for a low-dose chest computed tomography protocol: a phantom studyYunsub Jung, Jin Hur, Kyunghwa Han, et al.
Pageof 1