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Journal of Integrative Neuroscience|January 8, 2022
Improvement of depiction of the intracranial arteries on brain CT angiography using deep learning reconstructionChuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, et al.
The British Journal of Radiology|May 11, 2024
Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiographyJae-Kyun Ryu, Ki Hwan Kim, Chuluunbaatar Otgonbaatar, et al.
Quantitative Imaging in Medicine and Surgery|July 11, 2026
Vendor-agnostic versus vendor-specific boost methods in low-concentration contrast-enhanced computed tomography of the abdomenChuluunbaatar Otgonbaatar, Sung-Jin Cha, Sang-Hyun Jeon, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale DiscriminatorYuseong Son, Sihyeon Jeong, Youngtaek Hong, et al.
Computer Methods and Programs in Biomedicine|August 10, 2014
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTADongjin Han, Nam-Thai Doan, Hackjoon Shim, et al.
Scientific Reports|July 16, 2025
Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstructionChuluunbaatar Otgonbaatar, Sang-Hyun Jeon, Sung-Jin Cha, et al.
Computers in Biology and Medicine|December 23, 2021
Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography imagesKyunghoon Han, Jaeik Jeon, Yeonggul Jang, et al.
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