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Showing results 1 to 7 of 7

1
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization

Noh, Yung-Kyun; Park, Ji Young; Choi, Byoung Geol; Kim, Kee-Eung; Rha, Seung-Woon, JOURNAL OF MEDICAL SYSTEMS, v.43, no.8, 2019-08

2
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

3
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

4
Physics-Driven Machine Learning for Computational Imaging

Wen, Bihan; Ravishankar, Saiprasad; Zhao, Zhizhen; Giryes, Raja; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.1, pp.28 - 30, 2023-01

5
Physics-Driven Machine Learning for Computational Imaging: Part 2

Wen, Bihan; Ravishankar, Saiprasad; Zhao, Zhizhen; Giryes, Raja; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.2, pp.13 - 15, 2023-03

6
Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution

Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01

7
Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN

Song, Joonyoung; Jeong, Jae-Heon; Park, Dae-Soon; Kim, Hyun-Ho; Seo, Doo-Chun; Ye, Jong Chul, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.59, no.8, pp.6823 - 6839, 2021-08

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