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Chuluunbaatar Otgonbaatar

Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction
2022 · Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, et al. · Korean Journal of Radiology · 37
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Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstruction
2021 · Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, et al. · Journal of Integrative Neuroscience · 22
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Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography
2024 · Jae-Kyun Ryu, Ki Hwan Kim, et al. · British Journal of Radiology · 17
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The effectiveness of post-processing head and neck CT angiography using contrast enhancement boost technique
2023 · Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, et al. · PLoS ONE · 13
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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
2022 · Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, et al. · Acta Radiologica · 13
Coronary artery calcium quantification: comparison between filtered-back projection, hybrid iterative reconstruction, and deep learning reconstruction techniques
2023 · Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, et al. · Acta Radiologica · 12
A Novel Computed Tomography Image Reconstruction for Improving Visualization of Pulmonary Vasculature: Comparison Between Preprocessing and Postprocessing Images Using a Contrast Enhancement Boost Technique
2022 · Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, et al. · Journal of Computer Assisted Tomography · 11
A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms
2024 · Chuluunbaatar Otgonbaatar, Hyunjung Kim, et al. · British Journal of Radiology · 8
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Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies
2023 · Pil-Hyun Jeon, Sang-Hyun Jeon, et al. · Diagnostics · 6
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Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction
2025 · Chuluunbaatar Otgonbaatar, Sang-Hyun Jeon, et al. · Scientific Reports · 5
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Intravoxel Incoherent Motion Diffusion-Weighted MRI, Fat Quantification, and Electromyography: Correlation in Polymyositis and Dermatomyositis
2024 · Hyunjung Kim, Sang Yeol Yong, et al. · Tomography · 5
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Super-resolution deep learning image reconstruction: image quality and myocardial homogeneity in coronary computed tomography angiography
2024 · Chuluunbaatar Otgonbaatar, Hyunjung Kim, et al. · Journal of Cardiovascular Imaging · 4
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Quantifying infarct core volume in ischemic stroke: What is the optimal threshold and parameters of computed tomography perfusion?
2023 · Chuluunbaatar Otgonbaatar, Ji Ye Lee, et al. · Journal of Stroke and Cerebrovascular Diseases · 4
Detection of intracranial hemorrhage using ultralow-dose brain computed tomography with deep learning reconstruction versus conventional-dose computed tomography
2025 · Chuluunbaatar Otgonbaatar, Hyunjung Kim, et al. · BMC Medical Imaging · 3
Quantitative and qualitative assessment of ultra-low-dose paranasal sinus CT using deep learning image reconstruction: a comparison with hybrid iterative reconstruction
2025 · Chuluunbaatar Otgonbaatar, Dakyong Lee, et al. · European Radiology · 3
Quantification of Infarct Core Volume in Patients with Acute Ischemic Stroke Using Cerebral Metabolic Rate of Oxygen in CT Perfusion
2024 · Chuluunbaatar Otgonbaatar, Huijin Song, et al. · American Journal of Neuroradiology · 2
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Agreement of automated computed tomography body composition measurement across image reconstruction algorithms under identical projection data
2026 · Chuluunbaatar Otgonbaatar, Hyunjung Kim, et al. · BMC Medical Imaging
Deep Learning–Based Reconstruction in Ultra-Low-Dose CT of the Ankle and Foot: A Comparative Study with Hybrid Iterative Reconstruction
2026 · Chuluunbaatar Otgonbaatar, Jin Woo Kim, et al. · Tomography
Super-resolution deep learning reconstruction for brain fluid-attenuated inversion recovery: image quality and white matter hyperintensity volume analysis
2026 · Jae-kyun Ryu, Hei-Jung Jang, et al. · Neuroradiology
Combating river pathogens and reducing water pollution in Ulaanbaatar with silver nanoparticles
2026 · Altantogos Myagmar, Chuluunbaatar Otgonbaatar, et al. · Vietnam Journal of Science and Technology/Science and Technology
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Vendor-agnostic versus vendor-specific boost methods in low-concentration contrast-enhanced computed tomography of the abdomen
2026 · Chuluunbaatar Otgonbaatar, Sung-Jin Cha, et al. · Quantitative Imaging in Medicine and Surgery
Influence of slice thickness on computed tomography perfusion-derived ischemic core volume accuracy in acute ischemic stroke
2026 · Chuluunbaatar Otgonbaatar, Huijin Song, et al. · Quantitative Imaging in Medicine and Surgery
“Super-Resolution” Deep Learning Image Reconstruction in Dynamic Myocardial Perfusion: A Prospective Evaluation of Image Quality and Hemodynamic Parameters
2026 · Chuluunbaatar Otgonbaatar, Sung-Jin Cha, et al. · Journal of Computer Assisted Tomography
Improving FLAIR MRI Quality with Super-Resolution Deep Learning Reconstruction
2025 · Jae-Kyun Ryu, Hei-Jung Jang, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Quantitative CT Accuracy and Variability in Low-dose Chest CT: Effects of Filters and Deep Learning Reconstruction
2025 · Sung Goo Park, Jonghoon Kim, et al. · SSRN Electronic Journal
Works count: 32
Citation count: 165
H-index: 8
I10-index: 7
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