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Eunhee Kang
Eunhee Kang
Samsung Advanced Institute of Technology (SAIT)
Verified email at samsung.com
Title
Cited by
Cited by
Year
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
E Kang, J Min, JC Ye
Medical physics 44 (10), e360-e375, 2017
8732017
Deep convolutional framelet denosing for low-dose ct via wavelet residual network
E Kang, W Chang, J Yoo, JC Ye
IEEE transactions on medical imaging 37 (6), 1358-1369, 2018
3192018
Cycle‐consistent adversarial denoising network for multiphase coronary CT angiography
E Kang, HJ Koo, DH Yang, JB Seo, JC Ye
Medical physics 46 (2), 550-562, 2019
2152019
Wavelet domain residual network (WavResNet) for low-dose X-ray CT reconstruction
E Kang, JC Ye
arXiv preprint arXiv:1703.01383, 2017
702017
Low-dose abdominal CT using a deep learning-based denoising algorithm: a comparison with CT reconstructed with filtered back projection or iterative reconstruction algorithm
YJ Shin, W Chang, JC Ye, E Kang, DY Oh, YJ Lee, JH Park, YH Kim
Korean journal of radiology 21 (3), 356, 2020
652020
Controllable image restoration for under-display camera in smartphones
K Kwon, E Kang, S Lee, SJ Lee, HE Lee, BI Yoo, JJ Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
212021
Accuracy improvement of quantification information using super-resolution with convolutional neural network for microscopy images
MS Kang, E Cha, E Kang, JC Ye, NG Her, JW Oh, DH Nam, MH Kim, ...
Biomedical Signal Processing and Control 58, 101846, 2020
182020
Deep learning–based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study
Y Kim, DY Oh, W Chang, E Kang, JC Ye, K Lee, HY Kim, YH Kim, JH Park, ...
European Radiology 31 (11), 8755-8764, 2021
112021
Method for processing unmatched low-dose X-ray computed tomography image using neural network and apparatus therefor
YE JongChul, E Kang, DH Yang, JB Seo, HJ Koo
US Patent 11,037,336, 2021
102021
Method for processing X-ray computed tomography image using neural network and apparatus therefor
JC Ye, EH Kang
US Patent 11,250,600, 2022
52022
Method and apparatus for image acquisition including image sensor
S Lee, E Kang, K Kwon, HE Lee
US Patent 11,272,106, 2022
42022
Image restoration method and apparatus
K Kwon, E Kang, S Lee, S Lee, LEE Hyongeuk, J Choi, B Yoo
US Patent App. 17/241,701, 2022
32022
Radiation dose reduction in digital mammography by deep-learning algorithm image reconstruction: a preliminary study
SM Ha, HH Kim, E Kang, BK Seo, N Choi, TH Kim, YJ Ku, JC Ye
Journal of the Korean Society of Radiology (Taehan Yŏngsang Ŭihakhoe chi) 83 …, 2022
32022
Framelet denoising for low-dose CT using deep learning
E Kang, JC Ye
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
32018
Designing Phase Masks for Under-Display Cameras
A Yang, E Kang, HE Lee, AC Sankaranarayanan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
12023
Information-Theoretic GAN Compression with Variational Energy-based Model
M Kang, H Yoo, E Kang, S Ki, HE Lee, B Han
Advances in Neural Information Processing Systems, 2022
12022
Method and apparatus for super resolution
JO Younghyun, KI Sehwan, E Kang, HE Lee
US Patent App. 18/175,703, 2024
2024
Method and apparatus with image quality improvement
E Kang, Y Anqi, A Sankaranarayanan, HE Lee
US Patent App. 18/333,920, 2023
2023
Method and apparatus for image acquisition including image sensor
S Lee, E Kang, K Kwon, HE Lee
US Patent 11,792,515, 2023
2023
Apparatus and method with neural network training based on knowledge distillation
E Kang, M Kang, B Han, KI Sehwan, HE Lee
US Patent App. 17/862,779, 2023
2023
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