25 results on '"Ahn, Chulkyun"'
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2. 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
3. Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring
4. 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 carcinoma: prospective, randomized, double-blind study
5. Deep learning–based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis
6. Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions
7. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: a phantom study
8. Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques
9. AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography.
10. Correction to: Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques
11. How to overcome the data limited segmentation in abdominal CT: multi-planar UNet coupled with augmented contrast-boosting
12. Performance of 1-mm non-gated low-dose chest computed tomography using deep learning-based noise reduction for coronary artery calcium scoring
13. Deep learning-based reconstruction of virtual monoenergetic images of kVp-switching dual energy CT for evaluation of hypervascular liver lesions: Comparison with standard reconstruction technique
14. Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study
15. A Challenge for Emphysema Quantification Using a Deep Learning Algorithm With Low-dose Chest Computed Tomography
16. Estimation of Noise Level and Edge Preservation for Computed Tomography Images: Comparisons in Iterative Reconstruction
17. Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions
18. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning–based image reconstruction algorithm on CT: a phantom study
19. How to overcome the data limited segmentation in abdominal CT: multi-planar UNet coupled with augmented contrast-boosting
20. Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT
21. Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction
22. Synthesis of ghost-free panoramic radiographs from dental CBCT images
23. How to overcome the data limited segmentation in abdominal CT: multi-planar UNet coupled with augmented contrast-boosting.
24. Combined low-dose simulation and deep learning for CT denoising: application in ultra-low-dose chest CT
25. AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography.
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