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eess.IV2026
ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing
Yixuan Jia, Siyi Chen, Yida Pan +9
Data assimilation (DA) estimates the state of an evolving dynamical system from noisy, partial observations, and is widely used in scientific simulation as well as weather and clim…
eess.IV2022
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…