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Jong Hyo Kim

Showing results (31-40 of 70) with videos related to

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European Journal of Radiology|June 3, 2019
Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitisManuel Kolb, Corinna Storz, Jong Hyo Kim, et al.
Academic Radiology|February 5, 2005
Computerized scheme for assessing ultrasonographic features of breast massesKwang Gi Kim, Seong Whi Cho, Seon Jung Min, et al.
Radiology|March 4, 2015
Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and MetastasisShota Yamamoto, Wonshik Han, Youngwoo Kim, et al.
Medical Physics|October 1, 2010
Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRISang Ho Lee, Jong Hyo Kim, Nariya Cho, et al.
Academic Radiology|November 28, 2017
Impact of Radiation Dose Reduction in Abdominal Computed Tomography on Diagnostic Accuracy and Diagnostic Performance in Patients with Suspected Appendicitis: An Intraindividual ComparisonCorinna Storz, Manuel Kolb, Jong Hyo Kim, et al.
Korean Journal of Radiology|August 25, 2021
Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CTHyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, et al.
Journal of Microbiological Methods|October 26, 2010
Inactivation of Pseudomonas aeruginosa PA01 biofilms by hyperthermia using superparamagnetic nanoparticlesHongsuk Park, Hee-Jin Park, Jeong Ah Kim, et al.
European Radiology|July 1, 2020
Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparisonSo Hyeon Bak, Jong Hyo Kim, Hyeongmin Jin, 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.
AJR. American Journal of Roentgenology|October 26, 2012
Xenon-enhanced dual-energy CT of patients with asthma: dynamic ventilation changes after methacholine and salbutamol inhalationWon Wha Kim, Chang Hyun Lee, Jin Mo Goo, et al.
Pageof 7

Showing results (31-40 of 70) with videos related to

Sort By:
Pageof 7
European Journal of Radiology|June 3, 2019
Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitisManuel Kolb, Corinna Storz, Jong Hyo Kim, et al.
Academic Radiology|February 5, 2005
Computerized scheme for assessing ultrasonographic features of breast massesKwang Gi Kim, Seong Whi Cho, Seon Jung Min, et al.
Radiology|March 4, 2015
Breast Cancer: Radiogenomic Biomarker Reveals Associations among Dynamic Contrast-enhanced MR Imaging, Long Noncoding RNA, and MetastasisShota Yamamoto, Wonshik Han, Youngwoo Kim, et al.
Medical Physics|October 1, 2010
Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRISang Ho Lee, Jong Hyo Kim, Nariya Cho, et al.
Academic Radiology|November 28, 2017
Impact of Radiation Dose Reduction in Abdominal Computed Tomography on Diagnostic Accuracy and Diagnostic Performance in Patients with Suspected Appendicitis: An Intraindividual ComparisonCorinna Storz, Manuel Kolb, Jong Hyo Kim, et al.
Korean Journal of Radiology|August 25, 2021
Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CTHyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, et al.
Journal of Microbiological Methods|October 26, 2010
Inactivation of Pseudomonas aeruginosa PA01 biofilms by hyperthermia using superparamagnetic nanoparticlesHongsuk Park, Hee-Jin Park, Jeong Ah Kim, et al.
European Radiology|July 1, 2020
Emphysema quantification using low-dose computed tomography with deep learning-based kernel conversion comparisonSo Hyeon Bak, Jong Hyo Kim, Hyeongmin Jin, 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.
AJR. American Journal of Roentgenology|October 26, 2012
Xenon-enhanced dual-energy CT of patients with asthma: dynamic ventilation changes after methacholine and salbutamol inhalationWon Wha Kim, Chang Hyun Lee, Jin Mo Goo, et al.
Pageof 7