Results 71 to 80 of about 142,409 (160)

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI

Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2702-2717, May 2026.
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J. Ma, Alexander J. S. Beckett, An T. Vu, David A. Feinberg, Danny J. J. Wang   +8 more
wiley   +1 more source

Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net

International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.
ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
wiley   +1 more source

Coil Sketching for Fast and Efficient 4D Lung MRI Reconstruction

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2241-2253, April 2026.
ABSTRACT Purpose To develop and evaluate a memory‐efficient and accelerated reconstruction framework for respiratory‐resolved 4D lung MRI using coil sketching and Toeplitz approximation, enabling high‐quality motion‐compensated low‐rank (MoCo‐LR) reconstructions on clinically accessible GPU hardware.
Joseph W. Plummer, Pierre Daudé, Anastasia Tsakirellis, Jordan Taylor, Joel Moss, Rajiv Ramasawmy, Ahsan Javed, Adrienne E. Campbell‐Washburn   +7 more
wiley   +1 more source

Dynamic Transitions for Fast Joint Acquisition and Reconstruction of CEST‐Rex$$ {R}_{ex} $$ and T1$$ {T}_1 $$

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2153-2168, April 2026.
ABSTRACT Purpose This work proposes a method for the simultaneous estimation of the exchange‐dependent relaxation rate Rex$$ {R}_{ex} $$ and the longitudinal relaxation time T1$$ {T}_1 $$ from a single acquisition. Methods A novel acquisition scheme was developed that combines CEST saturation with an inversion pulse and a Look‐Locker readout to capture
Markus Huemer, Clemens Stilianu, Nick Scholand, Daniel Mackner, Martin Uecker, Moritz Zaiss, Rudolf Stollberger   +6 more
wiley   +1 more source

A Parallelized 3D Geomechanical Solver for Fluid‐Induced Fault Slip in Poroelastic Media

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 5, Page 2570-2586, 10 April 2026.
ABSTRACT We present a fully implicit formulation of coupled fluid flow and geomechanics for fluid injection/withdrawal in fractured reservoirs in the context of CO2$\textrm {CO}_2$ storage. Utilizing a Galerkin finite‐element approach, both flow and poroelasticity equations are discretized on a shared three‐dimensional mesh.
Emil Rinatovich Gallyamov, Guillaume Anciaux, Nicolas Richart, Jean‐François Molinari, Brice Lecampion   +4 more
wiley   +1 more source

Data‐Based Refinement of Parametric Uncertainty Descriptions

International Journal of Robust and Nonlinear Control, Volume 36, Issue 6, Page 3210-3228, April 2026.
ABSTRACT We consider dynamical systems with a linear fractional representation involving parametric uncertainties which are either constant or varying with time. Given a finite‐horizon input‐state or input‐output trajectory of such a system, we propose a numerical scheme which iteratively improves the available knowledge about the involved constant ...
Tobias Holicki, Carsten W. Scherer
wiley   +1 more source

Coarse‐to‐Fine Spatial Modeling: A Scalable, Machine‐Learning‐Compatible Framework

Geographical Analysis, Volume 58, Issue 2, April 2026.
ABSTRACT This study proposes coarse‐to‐fine spatial modeling (CFSM) as a scalable and machine learning‐compatible alternative to conventional spatial process models. Unlike conventional covariance‐based spatial models, CFSM represents spatial processes using a multiscale ensemble of local models.
Daisuke Murakami, Alexis Comber, Takahiro Yoshida, Narumasa Tsutsumida, Chris Brunsdon, Tomoki Nakaya   +5 more
wiley   +1 more source

Primal categories of neural polarity codes. [PDF]

Cogn Neurodyn, 2020
Baram Y.
europepmc   +1 more source

Price Indices Rekindled, 1970s–1990s: Theory and Practice at Cross Purposes?

Journal of Economic Surveys, Volume 40, Issue 2, Page 898-914, April 2026.
ABSTRACT This paper revisits the discussions on price indices during a period marked by theoretical advancements and practical challenges in measuring inflation. Index‐number theorists sought to improve accuracy, yet national statistical offices largely maintained established practices due to concerns over data availability, stability, and public trust.
Victor Cruz‐e‐Silva, Bert M. Balk
wiley   +1 more source

Jungian categories as modes of reading: The case of Graham Greene's The Heart of the Matter and Aldous Huxley's Time Must Have a Stop

Orbis Litterarum, Volume 81, Issue 2, Page 89-110, April 2026.
Abstract This essay advocates renewed attention toward Jungian literary criticism, emphasizing its unique and creative perspectives on both fictional worlds and on reading. A fresh turn to Jungian criticism offers, in particular, valuable insight for texts on the peripheries of the canon.
Edsel Parke
wiley   +1 more source