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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| 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 | |
| AdaIN-Based Tunable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising Gu, Jawook; Ye, Jong Chul, IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, v.7, pp.73 - 85, 2021-01 | |
| 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 | |
| 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 | |
| Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch Kim, Sungnyun; YUN, SE-YOUNG, IEEE ACCESS, v.10, pp.53894 - 53908, 2022 |
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