294 citations · 1.8k across the 62 of their papers we have counts for
65 papers
Spatiotemporal Maps for Dynamic MRI Reconstruction
Rodrigo A. Lobos, Xiaokai Wang, Rex T. L. Fung +6
The partially separable functions (PSF) model is commonly adopted in dynamic MRI reconstruction, as is the underlying signal model in many reconstruction methods including the ones…
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
Javier Salazar Cavazos, Jeffrey A. Fessler, Laura Balzano
Principal component analysis (PCA) is a key tool in the field of data dimensionality reduction. However, some applications involve heterogeneous data that vary in quality due to no…
Scan-Adaptive MRI Undersampling Using Neighbor-based Optimization (SUNO)
Siddhant Gautam, Angqi Li, Nicole Seiberlich +2
Accelerated MRI involves collecting partial -space measurements to reduce acquisition time, patient discomfort, and motion artifacts, and typically uses regular undersampling pa…
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…