Showing results 1 to 13 of 13
A MATHEMATICAL FRAMEWORK FOR DEEP LEARNING IN ELASTIC SOURCE IMAGING Yoo, Jaejun; Wahab, Abdul; Ye, Jong Chul, SIAM JOURNAL ON APPLIED MATHEMATICS, v.78, no.5, pp.2791 - 2818, 2018-11 |
Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.67, no.8, pp.1558 - 1572, 2020-08 |
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 |
Deep learning for tomographic image reconstruction Wang, Ge; Ye, Jong Chul; De Man, Bruno, NATURE MACHINE INTELLIGENCE, v.2, no.12, pp.737 - 748, 2020-12 |
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 |
Deep Residual Learning for Accelerated MRI Using Magnitude and Phase Networks Lee, Dongwook; Yoo, Jaejun; Tak, Sungho; Ye, Jong Chul, IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, v.65, no.9, pp.1985 - 1995, 2018-09 |
Denoising of polychromatic CT images based on their own noise properties Kim, Ji Hye; Chang, Yongjin; Ra, Jong Beom, MEDICAL PHYSICS, v.43, no.5, 2016-05 |
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning Yoon, Yeo Hun; Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.38, no.2, pp.325 - 336, 2019-02 |
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-View CT Han, Yoseob; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1418 - 1429, 2018-06 |
Image Reconstruction Is a New Frontier of Machine Learning Wang, Ge; Ye, Jong Chul; Mueller, Klaus; Fessler, Jeffrey A., IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1289 - 1296, 2018-06 |
Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning Ravishankar, Saiprasad; Ye, Jong Chul; Fessler, Jeffrey A., PROCEEDINGS OF THE IEEE, v.108, no.1, pp.86 - 109, 2020-01 |
Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Ko, Youngjun; Moon, Seunghyuk; Baek, Jongduk; Shim, Hyunjung, MEDICAL IMAGE ANALYSIS, v.67, 2021-01 |
Weakly-supervised progressive denoising with unpaired CT images Kim, Byeongjoon; Shim, Hyunjung; Baek, Jongduk, MEDICAL IMAGE ANALYSIS, v.71, 2021-07 |
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