173 citations · 208 across the 10 of their papers we have counts for
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Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising
Chanyong Jung, Joonhyung Lee, Sunkyoung You +1
The acquisition conditions for low-dose and high-dose CT images are usually different, so that the shifts in the CT numbers often occur. Accordingly, unsupervised deep learning-bas…
Diffusion Deformable Model for 4D Temporal Medical Image Generation
Boah Kim, Jong Chul Ye
Temporal volume images with 3D+t (4D) information are often used in medical imaging to statistically analyze temporal dynamics or capture disease progression. Although deep-learnin…
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN
Jaeyoung Huh, Shujaat Khan, Sungjin Choi +3
In contrast to 2-D ultrasound (US) for uniaxial plane imaging, a 3-D US imaging system can visualize a volume along three axial planes. This allows for a full view of the anatomy,…
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching
Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
Tweedie distributions are a special case of exponential dispersion models, which are often used in classical statistics as distributions for generalized linear models. Here, we rev…
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction
Hyungjin Chung, Byeongsu Sim, Jong Chul Ye
Diffusion models have recently attained significant interest within the community owing to their strong performance as generative models. Furthermore, its application to inverse pr…