294 citations · 1.8k across the 62 of their papers we have counts for
7 papers · 1 filter
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Zongyu Li, Jason Hu, Xiaojian Xu +2
Phase retrieval (PR) is a crucial problem in many imaging applications. This study focuses on resolving the holographic phase retrieval problem in situations where the measurements…
Dynamic Subspace Estimation with Grassmannian Geodesics
Cameron J. Blocker, Haroon Raja, Jeffrey A. Fessler +1
Dynamic subspace estimation, or subspace tracking, is a fundamental problem in statistical signal processing and machine learning. This paper considers a geodesic model for time-va…
Adaptive Sampling for Linear Sensing Systems via Langevin Dynamics
Guanhua Wang, Douglas C. Noll, Jeffrey A. Fessler
Adaptive or dynamic signal sampling in sensing systems can adapt subsequent sampling strategies based on acquired signals, thereby potentially improving image quality and speed. Th…
Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction
Zongyu Li, Yuni K. Dewaraja, Jeffrey A. Fessler
Training end-to-end unrolled iterative neural networks for SPECT image reconstruction requires a memory-efficient forward-backward projector for efficient backpropagation. This pap…
Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)
Guanhua Wang, Jon-Fredrik Nielsen, Jeffrey A. Fessler +1
Optimizing 3D k-space sampling trajectories for efficient MRI is important yet challenging. This work proposes a generalized framework for optimizing 3D non-Cartesian sampling patt…
B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI
Guanhua Wang, Tianrui Luo, Jon-Fredrik Nielsen +2
Optimizing k-space sampling trajectories is a promising yet challenging topic for fast magnetic resonance imaging (MRI). This work proposes to optimize a reconstruction method and…