2 papers
cs.CV2025
Predicting before Reconstruction: A generative prior framework for MRI acceleration
Juhyung Park, Rokgi Hong, Roh-Eul Yoo +4
Recent advancements in artificial intelligence have created transformative capabilities in image synthesis and generation, enabling diverse research fields to innovate at revolutio…
eess.IV2025
Self-supervised training of deep denoisers in multi-coil MRI considering noise correlations
Juhyung Park, Dongwon Park, Sooyeon Ji +3
Deep learning-based denoising methods have shown powerful results for improving the signal-to-noise ratio of magnetic resonance (MR) images, mostly by leveraging supervised learnin…