Chulkyun Ahn

8PUBLICATIONS
34CO-AUTHORS
Computational imagingContext learningDeep learningComputational physiologyImage processing
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Publications (8)

|Jun 17, 2026
Additional Dose Reduction Potential of Vendor-Agnostic Deep Learning Model: A Phantom Study.

|Apr 30, 2026
Deep Learning-Based Augmented Contrast-Enhancement and Denoising for Reduced-Iodine and Low-Radiation 70-kVp Cerebral CT Angiography: A Prospective Study.

|Oct 22, 2024
Application of a Deep Learning-Based Contrast-Boosting Algorithm to Low-Dose Computed Tomography Pulmonary Angiography With Reduced Iodine Load.

Minsu Park, Minhee Hwang, Ji Won Lee

|Jan 11, 2024
AntiHalluciNet: A Potential Auditing Tool of the Behavior of Deep Learning Denoising Models in Low-Dose Computed Tomography.

Chulkyun Ahn, Jong Hyo Kim

|Sep 13, 2023
Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis.

Taehee Lee, Jeong Hee Yoon, Jin Young Park

|Jul 20, 2022
Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study.

Minsoo Chun, Jin Hwa Choi, Sihwan Kim

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Frequent Collaborators

5 joint publications

Jong Hyo Kim

1 joint publications

Jung Hee Hong

1 joint publications

Eun Ah Park

1 joint publications

Whal Lee