| Incremental image noise reduction in coronary CT angiography using a deep learning-based technique with iterative reconstruction JH Hong, EA Park, W Lee, C Ahn, JH Kim Korean journal of radiology 21 (10), 1165, 2020 | 66 | 2020 |
| A novel deep learning-based approach to high accuracy breast density estimation in digital mammography CK Ahn, C Heo, H Jin, JH Kim Medical Imaging 2017: Computer-Aided Diagnosis 10134, 691-697, 2017 | 47 | 2017 |
| Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques JG Nam, C Ahn, H Choi, W Hong, J Park, JH Kim, JM Goo European Radiology 31, 5139-5147, 2021 | 46 | 2021 |
| Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique S Lee, YH Choi, YJ Cho, SB Lee, JE Cheon, WS Kim, CK Ahn, JH Kim European Radiology 31, 2218-2226, 2021 | 41 | 2021 |
| Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions S Park, JH Yoon, I Joo, MH Yu, JH Kim, J Park, SW Kim, S Han, C Ahn, ... European Radiology, 1-10, 2022 | 35 | 2022 |
| Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT H Yeoh, SH Hong, C Ahn, JY Choi, HD Chae, HJ Yoo, JH Kim Korean journal of radiology 22 (11), 1850, 2021 | 30 | 2021 |
| Combined low-dose simulation and deep learning for CT denoising: application in ultra-low-dose chest CT C Ahn, C Heo, JH Kim International Forum on Medical Imaging in Asia 2019 11050, 52-56, 2019 | 24 | 2019 |
| Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: A phantom study H Choi, W Chang, JH Kim, C Ahn, H Lee, HY Kim, J Cho, YJ Lee, YH Kim European radiology 32 (2), 1247-1255, 2022 | 20 | 2022 |
| Deep learning–based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis T Lee, JM Lee, JH Yoon, I Joo, JS Bae, J Yoo, JH Kim, C Ahn, JH Kim European Radiology 32 (9), 6407-6417, 2022 | 18 | 2022 |
| A deep learning-enabled iterative reconstruction of ultra-low-dose CT: use of synthetic sinogram-based noise simulation technique CK Ahn, Z Yang, C Heo, H Jin, B Park, JH Kim Medical Imaging 2018: Physics of Medical Imaging 10573, 809-814, 2018 | 16 | 2018 |
| Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard … JY Seo, I Joo, JH Yoon, HJ Kang, S Kim, JH Kim, C Ahn, JM Lee European Journal of Radiology 154, 110390, 2022 | 13 | 2022 |
| Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study M Chun, JH Choi, S Kim, C Ahn, JH Kim PloS one 17 (7), e0271724, 2022 | 12 | 2022 |
| Combined low-dose simulation and deep learning for CT denoising: application of ultra-low-dose cardiac CTA CK Ahn, H Jin, C Heo, JH Kim Medical Imaging 2019: Physics of Medical Imaging 10948, 1019-1024, 2019 | 10 | 2019 |
| Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular … HJ Kang, JM Lee, C Ahn, JS Bae, S Han, SW Kim, JH Yoon, JK Han European Radiology 33 (5), 3660-3670, 2023 | 9 | 2023 |
| A challenge for emphysema quantification using a deep learning algorithm with low-dose chest computed tomography H Choi, H Kim, KN Jin, YJ Jeong, KJ Chae, KH Lee, HS Yong, B Gil, ... Journal of Thoracic Imaging 37 (4), 253-261, 2022 | 8 | 2022 |
| Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis T Lee, JH Yoon, JY Park, J Lee, JW Choi, C Ahn, JM Lee Abdominal Radiology 48 (11), 3430-3440, 2023 | 6 | 2023 |
| 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT GD Jo, C Ahn, JH Hong, DS Kim, J Park, H Kim, JH Kim, JM Goo, JG Nam BMC Medical Imaging 23 (1), 121, 2023 | 5 | 2023 |
| Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring H Choi, EA Park, C Ahn, JH Kim, W Lee, B Jeong European Radiology 33 (6), 3839-3847, 2023 | 3 | 2023 |
| AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography C Ahn, JH Kim Diagnostics 14 (1), 96, 2023 | 2 | 2023 |
| Application of a Deep Learning–Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load M Park, M Hwang, JW Lee, KI Kim, C Ahn, YJ Suh, YJ Jeong Journal of Computer Assisted Tomography, 10.1097, 2022 | | 2022 |
