221 citations · 1.5k across the 104 of their papers we have counts for
15 papers · 1 filter
Convergence of Nonconvex PnP-ADMM with MMSE Denoisers
Chicago Park, Shirin Shoushtari, Weijie Gan +1
Plug-and-Play Alternating Direction Method of Multipliers (PnP-ADMM) is a widely-used algorithm for solving inverse problems by integrating physical measurement models and convolut…
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging
Huidong Xie, Weijie Gan, Bo Zhou +8
As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. Recently, diffusion models have emerged…
FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration
Zihao Zou, Jiaming Liu, Shirin Shoushtari +3
Face video restoration (FVR) is a challenging but important problem where one seeks to recover a perceptually realistic face videos from a low-quality input. While diffusion probab…
DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model
Yuyang Hu, Satya V. V. N. Kothapalli, Weijie Gan +5
We introduce a new framework called DiffGEPCI for cross-modality generation in magnetic resonance imaging (MRI) using a 2.5D conditional diffusion model. DiffGEPCI can synthesize h…
Constrained Regularization by Denoising with Automatic Parameter Selection
Pasquale Cascarano, Alessandro Benfenati, Ulugbek S. Kamilov +1
Regularization by Denoising (RED) is a well-known method for solving image restoration problems by using learned image denoisers as priors. Since the regularization parameter in th…
Efficient Model-Based Deep Learning via Network Pruning and Fine-Tuning
Chicago Y. Park, Weijie Gan, Zihao Zou +3
Model-based deep learning (MBDL) is a powerful methodology for designing deep models to solve imaging inverse problems. MBDL networks can be seen as iterative algorithms that estim…