Showing results 4 to 12 of 12
Improved k-t BLAST and k-t SENSE using FOCUSS Jung, H; Ye, Jong Chul; Kim, EY, PHYSICS IN MEDICINE AND BIOLOGY, v.52, pp.3201 - 3226, 2007-06 |
k-Space deep learning for reference-free EPI ghost correction Lee, Juyoung; Han, Yoseob; Ryu, Jae-Kyun; Park, Jang-Yeon; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.82, no.6, pp.2299 - 2313, 2019-12 |
Motion Estimated and Compensated Compressed Sensing Dynamic Magnetic Resonance Imaging: What We Can Learn From Video Compression Techniques Jung, Hong; Ye, Jong-Chul, INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, v.20, pp.81 - 98, 2010-05 |
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 |
Reference-Free Single-Pass EPI Nyquist Ghost Correction Using Annihilating Filter-Based Low Rank Hankel Matrix (ALOHA) Lee, Juyoung; Jin, Kyong Hwan; Ye, Jong Chul, MAGNETIC RESONANCE IN MEDICINE, v.76, no.6, pp.1775 - 1789, 2016-12 |
Score-based diffusion models for accelerated MRI Chung, Hyungjin; Ye, Jong Chul, MEDICAL IMAGE ANALYSIS, v.80, 2022-08 |
Structured Low-Rank Algorithms: Theory, Magnetic Resonance Applications, and Links to Machine Learning Jacob, Mathews; Mani, Merry P.; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.37, no.1, pp.54 - 68, 2020-01 |
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 |
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 |
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