Publications by authors named "Hackjoon Shim"

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Quantitative and qualitative assessment of ultra-low-dose paranasal sinus CT using deep learning image reconstruction: a comparison with hybrid iterative reconstruction.
Chuluunbaatar Otgonbaatar, Dakyong Lee, Juneho Choi, Heijung Jang, Hackjoon Shim

Eur Radiol· December 2025

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Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography.
Chuluunbaatar Otgonbaatar, Hyunjung Kim, Pil-Hyun Jeon, Sang-Hyun Jeon, Sung-Jin Cha, Hackjoon Shim

BMC Med Imaging· November 2025

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Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.
Chuluunbaatar Otgonbaatar, Sang-Hyun Jeon, Sung-Jin Cha, Hackjoon Shim, Jin Woo Kim

Sci Rep· July 2025

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Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram.
Yeonggul Jang, Juyeong Jung, Youngtaek Hong, Jina Lee, Hyunseok Jeong, Hackjoon Shim

IEEE J Biomed Health Inform· December 2024

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Utilization of double contrast-enhancement boost for lower-extremity CT angiography.
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Won Beom Jung, Seon Woong Jang, Sungjun Hwang, Hackjoon Shim

J Med Imaging (Bellingham)· November 2024

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Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography.
Chuluunbaatar Otgonbaatar, Hyunjung Kim, Pil-Hyun Jeon, Sang-Hyun Jeon, Sung-Jin Cha, Hackjoon Shim

J Cardiovasc Imaging· September 2024

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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.
Yuseong Son, Sihyeon Jeong, Youngtaek Hong, Jina Lee, Byunghwan Jeon, Hackjoon Shim

Bioengineering (Basel)· September 2024

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A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms.
Chuluunbaatar Otgonbaatar, Hyunjung Kim, Pil-Hyun Jeon, Sang-Hyun Jeon, Sung-Jin Cha, Hackjoon Shim

Br J Radiol· August 2024

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Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.
Jae-Kyun Ryu, Ki Hwan Kim, Chuluunbaatar Otgonbaatar, Da Som Kim, Hackjoon Shim

Br J Radiol· June 2024

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Injection rate, scanning position, and values of parameters on pulmonary computed tomography perfusion in normal Beagles.
Hyunju Hwang, Changhyeon Cho, Myounghun Kim, Wonbeom Jung, Hackjoon Shim

Am J Vet Res· May 2024

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Coronary artery calcium quantification: comparison between filtered-back projection, hybrid iterative reconstruction, and deep learning reconstruction techniques.
Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, Jae-Kyun Ryu, Hackjoon Shim, Sang-Hyun Jeon

Acta Radiol· August 2023

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Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising.
Jina Lee, Jaeik Jeon, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Hackjoon Shim

Comput Biol Med· June 2023

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Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies.
Pil-Hyun Jeon, Sang-Hyun Jeon, Donghee Ko, Giyong An, Hackjoon Shim

Diagnostics (Basel)· May 2023

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The effectiveness of post-processing head and neck CT angiography using contrast enhancement boost technique.
Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, Jae-Kyun Ryu, Hackjoon Shim, Sang-Hyun Jeon

PLoS One· April 2023

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Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction.
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Jaemin Shin, Han Myun Kim, Jung Wook Seo, Hackjoon Shim

Acta Radiol· March 2023

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Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction.
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Jaemin Shin, Ji Young Woo, Jung Wook Seo, Hackjoon Shim

Korean J Radiol· November 2022

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A Novel Computed Tomography Image Reconstruction for Improving Visualization of Pulmonary Vasculature: Comparison Between Preprocessing and Postprocessing Images Using a Contrast Enhancement Boost Technique.
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Hackjoon Shim, Pil-Hyun Jeon, Sang-Hyun Jeon

J Comput Assist Tomogr· September 2022

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Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images.
Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim

Comput Biol Med· February 2022

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Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction.
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, Jung Wook Seo, Hackjoon Shim

J Integr Neurosci· December 2021

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Assessment of Image Quality for Selective Intracoronary Contrast-Injected CT Angiography in a Hybrid Angio-CT System: A Feasibility Study in Swine.
Seongmin Ha, Sunghee Jung, Hyung Bok Park, Sanghoon Shin, Reza Arsanjani, Hackjoon Shim

Yonsei Med J· March 2021

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Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images.
Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang

Entropy (Basel)· January 2021

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Clinical feasibility of catheter-directed selective intracoronary computed tomography angiography using an extremely low dose of iodine in patients with coronary artery disease.
Youngtaek Hong, Hyung-Bok Park, Byoung Kwon Lee, Seongmin Ha, Yeonggul Jang, Hackjoon Shim

Eur Radiol· May 2019

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Intra-articular Injection of Mesenchymal Stem Cells for the Treatment of Osteoarthritis of the Knee: A 2-Year Follow-up Study.
Chris Hyunchul Jo, Jee Won Chai, Eui Cheol Jeong, Sohee Oh, Ji Sun Shin, Hackjoon Shim

Am J Sports Med· October 2017

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Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT Angiography.
Dongjin Han, Hackjoon Shim, Byunghwan Jeon, Yeonggul Jang, Youngtaek Hong

PLoS One· July 2017

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A semi-automated volumetric software for segmentation and perfusion parameter quantification of brain tumors using 320-row multidetector computed tomography: a validation study.
Soo Young Chae, Sangil Suh, Inseon Ryoo, Arim Park, Kyoung Jin Noh, Hackjoon Shim

Neuroradiology· May 2017

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