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
Bilevel Optimized Implicit Neural Representation for Scan-Specific Accelerated MRI Reconstruction
Hongze Yu, Jeffrey A. Fessler, Yun Jiang
Deep Learning (DL) methods can reconstruct highly accelerated magnetic resonance imaging (MRI) scans, but they rely on application-specific large training datasets and often genera…