Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Author Kang, Eunhee

Showing results 1 to 5 of 5

1
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction

Kang, Eunhee; Min, Junhong; Ye, Jong Chul, MEDICAL PHYSICS, v.44, no.10, pp.e360 - e375, 2017-10

2
Cycle-consistent adversarial denoising network for multiphase coronary CT angiography

Kang, Eunhee; Koo, Hyun Jung; Yang, Dong Hyun; Seo, Joon Bum; Ye, Jong Chul, MEDICAL PHYSICS, v.46, no.2, pp.550 - 562, 2019-02

3
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network

Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06

4
Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study

Kim, Youngjune; Oh, Dong Yul; Chang, Won; Kang, Eunhee; Ye, Jong Chul; Lee, Kyeorye; Kim, Hae Young; et al, EUROPEAN RADIOLOGY, v.31, no.11, pp.8755 - 8764, 2021-11

5
Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study

Ha, Su Min; Kim, Hak Hee; Kang, Eunhee; Seo, Bo Kyoung; Choi, Nami; Kim, Tae Hee; Ku, You Jin; et al, Journal of the Korean Society of Radiology, v.83, no.2, pp.344 - 359, 2022-01

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