Jong Chul Ye

Bio & Brain Engineering Korea Advanced Institute of Science and Technology, Daejeon, South Korea 
"Jong Ye"
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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
Kim BH, Ye JC. (2020) Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis. Frontiers in Neuroscience. 14: 630
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
Oh G, Sim B, Chung H, et al. (2020) Unpaired Deep Learning for Accelerated MRI Using Optimal Transport Driven CycleGAN Ieee Transactions On Computational Imaging. 6: 1285-1296
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