Showing results 1 to 8 of 8
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 |
Compressed Sensing via Measurement-Conditional Generative Models Kim, Kyung-Su; Lee, Jung Hyun; Yang, Eunho, IEEE ACCESS, v.9, pp.155335 - 155352, 2021-11 |
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 |
One-Shot Adaptation of GAN in Just One CLIP Kwon, Gihyun; Ye, Jong Chul, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.45, no.10, pp.12179 - 12191, 2023-10 |
Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection Xie, Qin; Zhang, Peng; Yu, Boseon; Choi, Jaesik, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.33, no.6, pp.2444 - 2453, 2022-06 |
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.41, no.2, pp.266 - 278, 2022-02 |
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 |
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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