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Chulkyun Ahn

Showing results (1-10 of 21) with videos related to

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Diagnostics (Basel, Switzerland)|January 11, 2024
AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed TomographyChulkyun Ahn, Jong Hyo Kim
Tomography (Ann Arbor, Mich.)|February 25, 2025
Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule CharacterizationDongok Kim, Chulkyun Ahn, Jong Hyo Kim
Plos One|July 20, 2022
Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction studyMinsoo Chun, Jin Hwa Choi, Sihwan Kim, et al.
The British Journal of Radiology|March 6, 2026
Automatic Hepatic Steatosis Quantification using Low-Dose CT with deep learning-based noise reduction and CT Fat Fraction Analysis SoftwareSung Joon Youn, Sun Kyung Jeon, Jeong Hee Yoon, et al.
European Radiology|December 15, 2022
Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoringHyewon Choi, Eun-Ah Park, Chulkyun Ahn, et al.
Korean Journal of Radiology|July 31, 2020
Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative ReconstructionJung Hee Hong, Eun Ah Park, Whal Lee, et al.
European Radiology|May 10, 2025
Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CTSihwan Kim, Eun-Ah Park, Chulkyun Ahn, et al.
European Radiology|January 8, 2021
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniquesJu Gang Nam, Chulkyun Ahn, Hyewon Choi, et al.
Journal of Computer Assisted Tomography|October 22, 2024
Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine LoadMinsu Park, Minhee Hwang, Ji Won Lee, et al.
Korean Journal of Radiology|August 25, 2021
Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CTHyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Diagnostics (Basel, Switzerland)|January 11, 2024
AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed TomographyChulkyun Ahn, Jong Hyo Kim
Tomography (Ann Arbor, Mich.)|February 25, 2025
Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule CharacterizationDongok Kim, Chulkyun Ahn, Jong Hyo Kim
Plos One|July 20, 2022
Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction studyMinsoo Chun, Jin Hwa Choi, Sihwan Kim, et al.
The British Journal of Radiology|March 6, 2026
Automatic Hepatic Steatosis Quantification using Low-Dose CT with deep learning-based noise reduction and CT Fat Fraction Analysis SoftwareSung Joon Youn, Sun Kyung Jeon, Jeong Hee Yoon, et al.
European Radiology|December 15, 2022
Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoringHyewon Choi, Eun-Ah Park, Chulkyun Ahn, et al.
Korean Journal of Radiology|July 31, 2020
Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative ReconstructionJung Hee Hong, Eun Ah Park, Whal Lee, et al.
European Radiology|May 10, 2025
Performance of fully automated deep-learning-based coronary artery calcium scoring in ECG-gated calcium CT and non-gated low-dose chest CTSihwan Kim, Eun-Ah Park, Chulkyun Ahn, et al.
European Radiology|January 8, 2021
Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniquesJu Gang Nam, Chulkyun Ahn, Hyewon Choi, et al.
Journal of Computer Assisted Tomography|October 22, 2024
Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine LoadMinsu Park, Minhee Hwang, Ji Won Lee, et al.
Korean Journal of Radiology|August 25, 2021
Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CTHyunjung Yeoh, Sung Hwan Hong, Chulkyun Ahn, et al.
Pageof 3