Chulkyun Ahn

Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction

Jung Hee Hong, Eun‐Ah Park, Whal Lee et al. · Korean Journal of Radiology · 2020 · 81 citations · Full text

Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques

Ju Gang Nam, Chulkyun Ahn, Hyewon Choi et al. · European Radiology · 2021 · 65 citations

Computed Tomography, Image Analysis, Engineering +12

Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions

Sungeun Park, Jeong Hee Yoon, Ijin Joo et al. · European Radiology · 2021 · 50 citations

Computed Tomography, Image Reconstruction, Engineering +10

Noise reduction approach in pediatric abdominal CT combining deep learning and dual-energy technique

Seunghyun Lee, Young Hun Choi, Yeon Jin Cho et al. · European Radiology · 2020 · 47 citations

Computed Tomography, Noise Reduction Approach, Pediatric Abdominal Ct +12

A novel deep learning-based approach to high accuracy breast density estimation in digital mammography

Chulkyun Ahn, Changyong Heo, Heongmin Jin et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017 · 41 citations