4 citations · 4 across the 1 of their papers we have counts for
4 papers
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…
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…
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…
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…