Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten +6 more
wiley +1 more source
End-to-End Interrupted Sampling Repeater Jamming Countermeasure Network Under Low Signal-to-Noise Ratio. [PDF]
Dai G +5 more
europepmc +1 more source
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal +3 more
wiley +1 more source
Enhancing lung cancer classification through a double attention hybrid CNN-HiFuse approach. [PDF]
M D A, B V.
europepmc +1 more source
Area Law for the Entanglement Entropy of Free Fermions in Nonrandom Ergodic Field. [PDF]
Pastur L, Shamis M.
europepmc +1 more source
Singular effect of linkage on long-term genetic gain in Fisher's infinitesimal model. [PDF]
Tourrette E, Martin OC.
europepmc +1 more source
An enhanced adaptive image steganography method using block skin-maps and the integer S-transform. [PDF]
Khalifa A +3 more
europepmc +1 more source
StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images. [PDF]
Ekingen E +7 more
europepmc +1 more source
Detecting multiple fiducial markers from a camera seismocardiogram. [PDF]
Li H +5 more
europepmc +1 more source
Discrete singular convolution for beam analysis
This paper explores the utility of a discrete singular convolution (DSC) algorithm for beam analysis. Regularized Shannon and Dirichlet kernels are selected to illustrate the present algorithm. Three classes of benchmark beam problems, including bending, vibration and buckling, are utilized to test numerical accuracy and speed of convergence of the ...
G W Wei
exaly +4 more sources

