Jong Chul Ye
Affiliations: | Bio & Brain Engineering | Korea Advanced Institute of Science and Technology, Daejeon, South Korea |
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Publications
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| Cha E, Chung H, Jang J, et al. (2022) Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning. Acs Nano |
| Ryu DH, Ryu D, Baek YS, et al. (2021) DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging using Deep Learning. Ieee Transactions On Medical Imaging |
| Cha E, Chung H, Kim EY, et al. (2020) Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution. Ieee Transactions On Medical Imaging |
| Chae EY, Kim HH, Sabir S, et al. (2020) Development of digital breast tomosynthesis and diffuse optical tomography fusion imaging for breast cancer detection. Scientific Reports. 10: 13127 |
| Choi KS, You SH, Han Y, et al. (2020) Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach. Radiology. 192763 |
| Han Y, Kim J, Ye JC. (2020) Differentiated Backprojection Domain Deep Learning for Conebeam Artifact Removal. Ieee Transactions On Medical Imaging |
| Oh Y, Park S, Ye JC. (2020) Deep Learning COVID-19 Features on CXR using Limited Training Data Sets. Ieee Transactions On Medical Imaging |
| Khan S, Huh J, Ye JC. (2020) Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound. Ieee Transactions On Ultrasonics, Ferroelectrics, and Frequency Control |
| Ravishankar S, Ye JC, Fessler JA. (2020) Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. Proceedings of the Ieee. Institute of Electrical and Electronics Engineers. 108: 86-109 |
| Shin YJ, Chang W, Ye JC, et al. (2020) Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm. Korean Journal of Radiology. 21: 356-364 |