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Jong Hyo Kim

Showing results (21-30 of 70) with videos related to

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Nanotechnology|March 31, 2010
Microheater based on magnetic nanoparticle embedded PDMSJeong Ah Kim, Seung Hwan Lee, Hongsuk Park, et al.
Computers in Biology and Medicine|July 19, 2011
A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonographyJune-Goo Lee, Jong Hyo Kim, Se Hyung Kim, et al.
Diagnostics (Basel, Switzerland)|November 27, 2024
Improved Detection Accuracy of Chronic Vertebral Compression Fractures by Integrating Height Loss Ratio and Deep Learning ApproachesJemyoung Lee, Heejun Park, Zepa Yang, et al.
European Journal of Radiology|July 15, 2011
Inter-scan repeatability of CT-based lung densitometry in the surveillance of emphysema in a lung cancer screening settingSang Joon Park, Chang Hyun Lee, Jin Mo Goo, et al.
Bioengineering (Basel, Switzerland)|January 24, 2025
Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant ClassificationJemyoung Lee, Minbeom Kim, Heejun Park, et al.
Korean Journal of Radiology|January 17, 2004
Automated lung nodule detection at low-dose CT: preliminary experienceJin Mo Goo, Jeong Won Lee, Hyun Ju Lee, et al.
European Radiology|May 10, 2025
Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CTSihwan Kim, Eun-Ah Park, Chulkyun Ahn, et al.
Investigative Radiology|October 16, 2004
The potential contribution of a computer-aided detection system for lung nodule detection in multidetector row computed tomographyJeong Won Lee, Jin Mo Goo, Hyun Ju Lee, et al.
European Radiology|January 8, 2021
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniquesJu Gang Nam, Chulkyun Ahn, Hyewon Choi, 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.
Pageof 7

Showing results (21-30 of 70) with videos related to

Sort By:
Pageof 7
Nanotechnology|March 31, 2010
Microheater based on magnetic nanoparticle embedded PDMSJeong Ah Kim, Seung Hwan Lee, Hongsuk Park, et al.
Computers in Biology and Medicine|July 19, 2011
A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonographyJune-Goo Lee, Jong Hyo Kim, Se Hyung Kim, et al.
Diagnostics (Basel, Switzerland)|November 27, 2024
Improved Detection Accuracy of Chronic Vertebral Compression Fractures by Integrating Height Loss Ratio and Deep Learning ApproachesJemyoung Lee, Heejun Park, Zepa Yang, et al.
European Journal of Radiology|July 15, 2011
Inter-scan repeatability of CT-based lung densitometry in the surveillance of emphysema in a lung cancer screening settingSang Joon Park, Chang Hyun Lee, Jin Mo Goo, et al.
Bioengineering (Basel, Switzerland)|January 24, 2025
Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Genant ClassificationJemyoung Lee, Minbeom Kim, Heejun Park, et al.
Korean Journal of Radiology|January 17, 2004
Automated lung nodule detection at low-dose CT: preliminary experienceJin Mo Goo, Jeong Won Lee, Hyun Ju Lee, et al.
European Radiology|May 10, 2025
Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CTSihwan Kim, Eun-Ah Park, Chulkyun Ahn, et al.
Investigative Radiology|October 16, 2004
The potential contribution of a computer-aided detection system for lung nodule detection in multidetector row computed tomographyJeong Won Lee, Jin Mo Goo, Hyun Ju Lee, et al.
European Radiology|January 8, 2021
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniquesJu Gang Nam, Chulkyun Ahn, Hyewon Choi, 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.
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