[KJR] Lim WH, Choi YH, Park JE, Cho YJ, Lee S, Cheon JE, Kim WS, Kim IO, Kim JH. Application of Vendor-Neutral Iterative Reconstruction Technique to Pediatric Abdominal Computed Tomography. Korean J Radiol. 2019 Sep;20(9):1358-1367.
http://doi.org/10.3348/kjr.2018.0715
[EJR] Kolb M, Storz C, Kim JH, Weiss J, Afat S, Nikolaou K, Bamberg F, Othman AE. Effect of a novel denoising technique on image quality and diagnostic accuracy in low-dose CT in patients with suspected appendicitis. Eur J Radiol. 2019 Jul;116:198-204
http://doi.org/10.1016/j.ejrad.2019.04.026
[PMB] Jin H, Heo C, Kim JH. Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT. Phys Med Biol. 2019 Jun 11.
http://doi.org/10.1088/1361-6560/ab28a1
[SPIE] Ahn C, Heo C, Jin H., Kim JH. (2019, March). Combined low-dose simulation and deep learning for CT denoising: application of ultra-low-dose cardiac CTA. In SPIE Medical Imaging 2019: Physics of Medical Imaging.
https://www.doi.org/10.1117/12.2513144
[SPIE] Lee D, Yang Z, Kim JH. (2019, March). A 3D printing-based realistic anthropomorphic dental phantom and its imaging evaluation. In SPIE Medical Imaging 2019: Imaging informatics for Healthcare, Research, and Applications
