Results 71 to 80 of about 462,479 (185)
ABSTRACT Purpose Widespread adoption and methodological advancement of magnetic resonance fingerprinting (MRF) are limited by the lack of unified, reproducible implementation frameworks and fragmented open‐source tools. To address these barriers, we introduce OpenMRF—a comprehensive Pulseq‐based solution—designed to enable standardized and transferable
Tom Griesler +17 more
wiley +1 more source
Towards Faster Fetal 3D CINE Cardiac MRI Reconstruction Using Region‐Optimized Virtual Coils (ROVir)
ABSTRACT Purpose To develop and evaluate, in a feasibility study, a computationally efficient image‐reconstruction pipeline for 3D balanced steady state free precession (bSSFP) CINE fetal cardiac MRI that reduces radial streaking artifacts, increases effective temporal resolution, and improves diagnostic image quality compared with previous work ...
Marjolein Piek +5 more
wiley +1 more source
ABSTRACT Purpose To develop an accelerated motion‐compensated diffusion‐weighted pseudo‐continuous arterial spin labeling (MCDW‐pCASL) method using a spatial subspace low‐rank reconstruction method for efficient quantification of blood–brain barrier (BBB) water exchange (kw) and permeability (PSw).
Zixuan Liu +5 more
wiley +1 more source
Correlative singular value decomposition 4D‐STEM analysis of the potential, electric field, and charge density distributions with crystal orientation, strain across grain boundaries in polycrystalline materials. ABSTRACT Space charge layers (SCLs) at grain boundaries play a crucial role in modulating electric fields and thereby influence functional ...
Sangjun Kang +14 more
wiley +1 more source
SVD-based incremental approaches for recommender systems
Due to the serious information overload problem on the Internet, recommender systems have emerged as an important tool for recommending more useful information to users by providing personalized services for individual users.
X Zhou (5897804) +3 more
core
Application of SVD decomposition
Cilj ovog rada je proučiti dekompoziciju matrice na singularne vrijednosti ili kraće SVD dekompoziciju matrice. U prvom dijelu rada bavili smo se teoretskom pozadinom SVD dekompozicije. Dakle, naveli smo osnovni SVD teorem, svojstva SVD-a, objasnili kako
Šumberac, Ana
core +2 more sources
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
A new approach to sparse image representation using MMV and K-SVD
This paper addresses the problem of image representation based on a sparse decomposition over a learned dictionary. We propose an improved matching pursuit algorithm for Multiple Measurement Vectors (MMV) and an adaptive algorithm for dictionary learning
Jie Yang (19588564) +2 more
core
This paper presents a data-driven hybrid control framework for real-time suppression of nonlinear lateral vibrations in flexible-shaft rotary machines. A reduced-order model is obtained from open-loop broadband excitation data by applying singular value ...
Sina Piramoon
doaj +1 more source
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang +6 more
wiley +1 more source

