| 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 | 732 | 2017 |
| 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 | 269 | 2018 |
| 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 | 172 | 2019 |
| Wavelet domain residual network (WavResNet) for low-dose X-ray CT reconstruction E Kang, JC Ye arXiv preprint arXiv:1703.01383, 2017 | 59 | 2017 |
| 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), 356-364, 2020 | 42 | 2020 |
| 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 | 15 | 2020 |
| 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 | 7 | 2021 |
| 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 | 4 | 2021 |
| Method for processing X-ray computed tomography image using neural network and apparatus therefor JC Ye, EH Kang US Patent 11,250,600, 2022 | 3 | 2022 |
| 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 | 2 | 2021 |
| Framelet denoising for low-dose CT using deep learning E Kang, JC Ye 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 1 | 2018 |
| 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 | | 2022 |
| Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study [딥러닝 알고리즘을 이용한 저선량 디지털 유방 촬영 영상의 복 … SM Ha, HH Kim, E Kang, BK Seo, N Choi, TH Kim, YJ Ku, JC Ye Journal of the Korean Society of Radiology 83 (2), 344-359, 2021 | | 2021 |
| Development of iterative reconstruction framework using analytic principle for low dose X-ray CT JC Ye, EH Kang US Patent 9,892,527, 2018 | | 2018 |
| Ultra-fast Semi-analytic Iterative Reconstruction Framework for 3D Low-Dose CT E Kang, KS Kim, JC Ye Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2015 | | 2015 |
Jong Chul YeProfessor and Endowed Chair, KAISTkaist.ac.kr의 이메일 확인됨
