日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction

采用银滤片和深度学习重建的低剂量腹盆部计算机断层扫描（CT）的图像质量和辐射剂量

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-11184-7
Otgonbaatar, Chuluunbaatar; Jeon, Sang-Hyun; Cha, Sung-Jin; Shim, Hackjoon; Kim, Jin Woo; Ahn, Jhii-Hyun
发表日期：2025
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Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography

利用超低剂量脑部计算机断层扫描结合深度学习重建技术检测颅内出血与常规剂量计算机断层扫描的比较

期刊:BMC Medical Imaging
影响因子:3.2
doi:10.1186/s12880-025-02082-5
Otgonbaatar, Chuluunbaatar; Kim, Hyunjung; Jeon, Pil-Hyun; Jeon, Sang-Hyun; Cha, Sung-Jin; Ryu, Jae-Kyun; Shim, Hackjoon; Ko, Sung Min; Kim, Jin Woo
神经科学
发表日期：2025
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Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale Discriminator

利用生成对抗网络的抗锯齿生成器和多尺度判别器提高犬类低剂量CT图像质量

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering11090944
Son, Yuseong; Jeong, Sihyeon; Hong, Youngtaek; Lee, Jina; Jeon, Byunghwan; Choi, Hyunji; Kim, Jaehwan; Shim, Hackjoon
Canine
发表日期：2024
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Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography

利用超分辨率深度学习重建技术改进冠状动脉CT血管造影术中的支架清晰度评估

期刊:British Journal of Radiology
影响因子:3.4
doi:10.1093/bjr/tqae094
Ryu, Jae-Kyun; Kim, Ki Hwan; Otgonbaatar, Chuluunbaatar; Kim, Da Som; Shim, Hackjoon; Seo, Jung Wook
发表日期：2024
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A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms

一项关于超分辨率深度学习重建结合心脏选项评估血管内治疗颅内动脉瘤的初步研究

期刊:British Journal of Radiology
影响因子:3.4
doi:10.1093/bjr/tqae117
Otgonbaatar, Chuluunbaatar; Kim, Hyunjung; Jeon, Pil-Hyun; Jeon, Sang-Hyun; Cha, Sung-Jin; Ryu, Jae-Kyun; Jung, Won Beom; Shim, Hackjoon; Ko, Sung Min; Kim, Jin Woo
心血管
动脉瘤
发表日期：2024
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Utilization of double contrast-enhancement boost for lower-extremity CT angiography

下肢CT血管造影中双重对比增强技术的应用

期刊:Journal of Medical Imaging
影响因子:1.7
doi:10.1117/1.JMI.11.6.067001
Otgonbaatar, Chuluunbaatar; Ryu, Jae-Kyun; Jung, Won Beom; Jang, Seon Woong; Hwang, Sungjun; Kim, Taehyung; Shim, Hackjoon; Seo, Jung Wook
发表日期：2024
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Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography

超分辨率深度学习图像重建：冠状动脉计算机断层扫描血管造影中的图像质量和心肌均匀性

期刊:Journal of Cardiovascular Imaging
影响因子:
doi:10.1186/s44348-024-00031-4
Otgonbaatar, Chuluunbaatar; Kim, Hyunjung; Jeon, Pil-Hyun; Jeon, Sang-Hyun; Cha, Sung-Jin; Ryu, Jae-Kyun; Jung, Won Beom; Shim, Hackjoon; Ko, Sung Min
发表日期：2024
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Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction

利用深度学习重建技术提高CT血管造影中冠状动脉、支架和瓣膜结构的图像质量和可见度

期刊:Korean Journal of Radiology
影响因子:5.3
doi:10.3348/kjr.2022.0127
Otgonbaatar, Chuluunbaatar; Ryu, Jae-Kyun; Shin, Jaemin; Woo, Ji Young; Seo, Jung Wook; Shim, Hackjoon; Hwang, Dae Hyun
发表日期：2022
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Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images

基于测地距离的算法从三维CT图像中提取升主动脉

期刊:Computational and Mathematical Methods in Medicine
影响因子:
doi:10.1155/2016/4561979
Jang, Yeonggul; Jung, Ho Yub; Hong, Youngtaek; Cho, Iksung; Shim, Hackjoon; Chang, Hyuk-Jae
发表日期：2016
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Viability assessment after conventional coronary angiography using a novel cardiovascular interventional therapeutic CT system: Comparison with gross morphology in a subacute infarct swine model

利用新型心血管介入治疗CT系统对常规冠状动脉造影后的血管活力进行评估：与亚急性心肌梗死猪模型中的大体形态学比较

期刊:Journal of Cardiovascular Computed Tomography
影响因子:5.8
doi:10.1016/j.jcct.2015.04.006
Jang, Yeonggul; Cho, Iksung; Hartaigh, Bríain W Ó; Park, Se-Il; Hong, Youngtaek; Shin, Sanghoon; Ha, Seongmin; Jeon, Byunghwan; Jung, Hoyup; Shim, Hackjoon; Min, James K; Chang, Hyuk-Jae; Jang, Yangsoo; Chung, Namsik
心肌梗塞
心血管
发表日期：2015
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