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Browse "Kim Jaechul Graduate School of AI(김재철AI대학원)" by Subject Image reconstruction

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Showing results 1 to 7 of 7

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
Continuous Conversion of CT Kernel Using Switchable CycleGAN With AdaIN

Yang, Serin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.11, pp.3015 - 3029, 2021-11

3
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

4
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

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
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 Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective

Akcakaya, Mehmet; Yaman, Burhaneddin; Chung, Hyungjin; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.39, no.2, pp.28 - 44, 2022-03

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