Results 121 to 130 of about 1,282,583 (256)
Data-Driven System Matrix Manipulation Enabling Fast Functional Imaging in Tomography. [PDF]
Hu P, Tong X, Lin L, Wang LV.
europepmc +1 more source
Pseudomagnetic fields make light and sound emulate charged particles in magnetic fields, enabling magnetic‐free signal processing. This Review summarizes their origins, three implementations in two‐dimensional artificial lattices, and applications in energy localization and robust transport, guiding the design of topological integrated devices ...
Shuaihu Liu +5 more
wiley +1 more source
Polar Codes for Decomposed Multi-Input Multi-Output Gaussian Broadcast Channels. [PDF]
Şener MY +4 more
europepmc +1 more source
ABSTRACT Research has increasingly highlighted the prevalence of emotionally ambivalent experiences for employees at work, with several self‐regulatory benefits emerging. Yet we do not have a full understanding of which work‐related contexts yield generative or maladaptive consequences of emotional ambivalence.
David F. Arena Jr. +4 more
wiley +1 more source
Energy-dissipative adaptive-step L1 discretisation for the Caputo time-fractional incompressible magnetohydrodynamic system. [PDF]
Abidin MZ.
europepmc +1 more source
A dual‐layer metasurface is integrated on a fiber‐array facet to realize compact, plug‐and‐play free‐space optical links with cylindrical vector beam (CVB) space‐division multiplexing. An optimized off‐axis collimation layer steers multiple channels, while a Dammann vortex layer performs polarization–topology conversion for bidirectional CVB (de ...
Xipeng Lu +6 more
wiley +1 more source
Accelerated MR Elastography Using Learned Neural Network Representation
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley +1 more source
Revealing tissue architecture through the hypercomplex Fourier analysis of spatial transcriptomics data. [PDF]
Frost HR.
europepmc +1 more source
Weakly Convex Ridge Regularization for 3D Non‐Cartesian MRI Reconstruction
ABSTRACT Purpose While highly accelerated non‐Cartesian acquisition protocols significantly reduce scan time, they often entail long reconstruction delays for 3D data. Deep learning–based reconstruction methods can alleviate this, but typically rely on complex, highly parametrized architectures.
German Shâma Wache +3 more
wiley +1 more source
Deep‐Reorder: Refined Motion Correction for 3D Brain MRI via Iterative Data Regrouping
ABSTRACT Purpose Accurate and temporally high‐resolution estimation of subject motion is paramount for effective motion‐correction in MRI. This work proposes a novel approach for estimating subject motion within a 3D MRI scan with high temporal resolution.
Laurens Beljaards +7 more
wiley +1 more source

