10 citations · 10 across the 3 of their papers we have counts for
3 papers
stat.ML2025
Learning Difference-of-Convex Regularizers for Inverse Problems: A Flexible Framework with Theoretical Guarantees
Yasi Zhang, Oscar Leong
Learning effective regularization is crucial for solving ill-posed inverse problems, which arise in a wide range of scientific and engineering applications. While data-driven metho…
physics.med-ph2024★ 10 cited
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction
Sreemanti Dey, Snigdha Saha, Berthy T. Feng +5
Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image…
eess.IV2023
Image Reconstruction without Explicit Priors
Angela F. Gao, Oscar Leong, He Sun +1
We consider solving ill-posed imaging inverse problems without access to an explicit image prior or ground-truth examples. An overarching challenge in inverse problems is that ther…