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Showing results 1 to 6 of 6

1
Compressed Sensing via Measurement-Conditional Generative Models

Kim, Kyung-Su; Lee, Jung Hyun; Yang, Eunho, IEEE ACCESS, v.9, pp.155335 - 155352, 2021-11

2
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

3
MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion

Chung, Hyungjin; Lee, Eun Sun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.42, no.4, pp.922 - 934, 2023-04

4
The Foundations of Computational Imaging: A signal processing perspective

Karl, W. Clem; Fowler, James E.; Bouman, Charles A.; Cetin, Mujdat; Wohlberg, Brendt; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.5, pp.40 - 53, 2023-07

5
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data

Chung, Hyungjin; Cha, Eunju; Sunwoo, Leonard; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.71, 2021-07

6
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

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