Geometry-preserving vector field reconstruction of high-dimensional cell-state dynamics using ddHodge. [PDF]
Maehara K, Ohkawa Y.
europepmc +1 more source
Automated Coregistered Segmentation for Volumetric Analysis of Multiparametric Renal MRI
ABSTRACT Purpose This study aims to develop and evaluate a fully automated deep learning‐driven postprocessing pipeline for multiparametric renal MRI, enabling accurate kidney alignment, segmentation, and quantitative feature extraction within a single efficient workflow. Methods Our method has three main stages.
Aya Ghoul +8 more
wiley +1 more source
Comparison of biomechanical assessment between upright and supine inspiratory-expiratory area-detector CT in progressive pulmonary fibrosis. [PDF]
Ohno Y +18 more
europepmc +1 more source
ABSTRACT Purpose Oscillating‐gradient spin‐echo (OGSE) diffusion MRI probes cell geometry and membrane integrity through the frequency‐dependence of kurtosis, but prior studies have reported inconsistent findings depending on how frequency is varied. We compared frequency‐dependent kurtosis in the human brain under two regimes: varying frequency with ...
Dongsuk Sung +8 more
wiley +1 more source
Construction of complex non-uniform rational B-spline volume parametric models with G<sup>1</sup> continuity. [PDF]
Wang D, Chen L, Zhang J.
europepmc +1 more source
We propose a novel deep learning algorithm for predicting the myelin water fraction from multiple gradient‐echo or spin‐echo pulse sequences arising in magnetic resonance relaxometry (MRR) measurements of the human brain. Our method incorporates both regularized nonlinear least squares and pure deep learning through a concatenation paradigm known as ...
Mirage Modi +7 more
wiley +1 more source
Autocatalytic cores in the diluted regime: classification and properties. [PDF]
Nandan P, Nghe P, Unterberger J.
europepmc +1 more source
Nonlinear Model Order Reduction on Polynomial Manifolds for Computational Homogenisation Problems
ABSTRACT Model order reduction (MOR) techniques utilising nonlinear approximation spaces can search for solutions to computational homogenisation problems on low‐dimensional approximation spaces. In combination with hyperreduction techniques, this allows for computations on representative volume elements (RVEs) to be accelerated by multiple orders of ...
Erik Faust, Lisa Scheunemann
wiley +1 more source
Data-driven identification of biological systems using multi-scale analysis. [PDF]
Muhammed I +3 more
europepmc +1 more source
A Novel Mixed‐Hybrid, Higher‐Order Accurate Formulation for Kirchhoff–Love Shells
ABSTRACT This paper presents a novel mixed‐hybrid finite element formulation for Kirchhoff–Love shells, designed to enable the use of standard C0$C^0$‐continuous higher‐order Lagrange elements. This is possible by introducing the components of the moment tensor as a primary unknown alongside the displacement vector, circumventing the need for C1$C^1 ...
Jonas Neumeyer, Thomas‐Peter Fries
wiley +1 more source

