294 citations · 1.8k across the 62 of their papers we have counts for
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ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization
Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction that is useful for various data science problems. However, many applications involve…
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…
Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography
Jonathan Schwartz, Zichao Wendy Di, Yi Jiang +15
Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required fo…
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…
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI
Tao Hong, Luis Hernandez-Garcia, Jeffrey A. Fessler
Model-based methods are widely used for reconstruction in compressed sensing (CS) magnetic resonance imaging (MRI), using regularizers to describe the images of interest. The recon…
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…