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Showing results 1 to 6 of 6

1
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

2
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval

Cha, Eunju; Lee, Chanseok; Jang, Mooseok; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.9931 - 9943, 2022-12

3
DeepRegularizer: Rapid Resolution Enhancement of Tomographic Imaging Using Deep Learning

Ryu, DongHun; Ryu, Dongmin; Baek, YoonSeok; Cho, Hyungjoo; Kim, Geon; Kim, Young Seo; Lee, Yongki; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.5, pp.1508 - 1518, 2021-05

4
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications

Zhao, Zhizhen; Ye, Jong Chul; Bresler, Yoram, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.1, pp.148 - 163, 2023-01

5
Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation

Oh, Gyutaek; Lee, Jeong Eun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3125 - 3139, 2021-11

6
Variational Formulation of Unsupervised Deep Learning for Ultrasound Image Artifact Removal

Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.68, no.6, pp.2086 - 2100, 2021-06

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