4 citations · 5 across the 2 of their papers we have counts for
4 papers · 1 filter
Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees
Weijie Gan, Chunwei Ying, Parna Eshraghi +7
Deep equilibrium models (DEQ) have emerged as a powerful alternative to deep unfolding (DU) for image reconstruction. DEQ models-implicit neural networks with effectively infinite…
Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth
Weijie Gan, Cihat Eldeniz, Jiaming Liu +3
We propose a new plug-and-play priors (PnP) based MR image reconstruction method that systematically enforces data consistency while also exploiting deep-learning priors. Our prior…
Deep Image Reconstruction using Unregistered Measurements without Groundtruth
Weijie Gan, Yu Sun, Cihat Eldeniz +3
One of the key limitations in conventional deep learning based image reconstruction is the need for registered pairs of training images containing a set of high-quality groundtruth…
RARE: Image Reconstruction using Deep Priors Learned without Ground Truth
Jiaming Liu, Yu Sun, Cihat Eldeniz +3
Regularization by denoising (RED) is an image reconstruction framework that uses an image denoiser as a prior. Recent work has shown the state-of-the-art performance of RED with le…