2 papers
eess.SP2026
Comparing Implicit Neural Representations and B-Splines for Continuous Function Fitting from Sparse Samples
Hongze Yu, Yun Jiang, Jeffrey A. Fessler
Continuous signal representations are naturally suited for inverse problems, such as magnetic resonance imaging (MRI) and computed tomography, because the measurements depend on an…
eess.IV2025
Convergent Complex Quasi-Newton Proximal Methods for Gradient-Driven Denoisers in Compressed Sensing MRI Reconstruction
Tao Hong, Zhaoyi Xu, Se Young Chun +2
In compressed sensing (CS) MRI, model-based methods are pivotal to achieving accurate reconstruction. One of the main challenges in model-based methods is finding an effective prio…