Results 61 to 70 of about 2,509 (175)

TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering

Computer Graphics Forum, EarlyView.
Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann, Rafael Ballester‐Ripoll, Renato Pajarola   +2 more
wiley   +1 more source

Tensor Decomposition Through Neural Architectures

Applied Sciences
Machine learning (ML) technologies are currently widely used in many domains of science and technology, to discover models that transform input data into output data.
Chady Ghnatios, Francisco Chinesta
doaj   +1 more source

The effect of the total small vessel disease burden on the structural brain network

Scientific Reports, 2018
Different cerebral small vessel disease (SVD) lesion types have been shown to disrupt structural brain network individually. Considering that they often coexist, we investigated the relation between their collective effect using the recently proposed ...
Xiaopei Xu, Kui Kai Lau, Yuen Kwun Wong, Henry K. F. Mak, Edward S. Hui   +4 more
doaj   +1 more source

Experimental models of cerebral small vessel disease: Physiological constraints, translational challenges and future directions

The Journal of Physiology, EarlyView.
Abstract figure legend Overview of cerebral small vessel disease (cSVD) pathophysiology and current modelling challenges. Left: clinical burden and key unresolved research questions. Right: neurovascular unit (NVU) architecture highlighting sites of cSVD pathology across arterioles, capillaries and venules, including interactions between endothelial ...
Sophie Beaumont, Tanya Singh, Luana Campos Soares, Mootaz M. Salman   +3 more
wiley   +1 more source

Modelling Motion‐Induced Signal Corruption in Steady‐State Diffusion MRI

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 66-82, July 2026.
ABSTRACT Purpose Diffusion‐weighted steady‐state free precession (DW‐SSFP) is a diffusion imaging sequence achieving high SNR efficiency. A key challenge for in vivo DW‐SSFP is the sequence's severe motion sensitivity, currently limiting investigations to low or no motion regimes.
Benjamin C. Tendler, Wenchuan Wu, Karla L. Miller, Aaron T. Hess   +3 more
wiley   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 387-402, July 2026.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

Unraveling the spatial landscape of dystrophinopathies: a transcriptomic approach to Becker and Duchenne muscular dystrophies

The Journal of Pathology, Volume 269, Issue 3, Page 363-380, July 2026.
Abstract Dystrophinopathies are caused by pathogenic variants in the DMD gene, resulting in partial (Becker) or complete loss (Duchenne) of dystrophin. Becker (BMD) and Duchenne muscular dystrophy (DMD) are characterized by progressive muscle wasting, fatty replacement, fibrosis, and loss of function.
Laura GM Heezen, Qirong Mao, Stefan Nicolau, Claudio Novella Rausell, Julia van der Weerd, Jan Kueckelhaus, Rasya Gokul Nath, Jordi Diaz‐Manera, Hermien E Kan, Erik H Niks, Maaike van Putten, Annemieke Aartsma‐Rus, Kevin M Flanigan, Ahmed Mahfouz, Pietro Spitali   +14 more
wiley   +1 more source

Youth Perspectives on the Climate Crisis: Motivation and Action Pathways

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Young people can be agents of change for urgently needed sustainable transitions. We combine survey data from the Urban Rotterdam Project (2021 sample: N = 1152, age range = 12–28 years, Mage = 19.07, SDage = 2.87, 54% female, 16% bi‐ or multicultural background; 2023 sample: N = 327, age range = 13–28, Mage = 19.24, SDage = 2.86, 67% female ...
Anne‐Wil Kramer, Judith van de Wetering, Suzanne van de Groep, Lysanne W. te Brinke, Yara J. Toenders, Kayla H. Green, Eveline A. Crone   +6 more
wiley   +1 more source

Low-Rank Tensor Completion for Image and Video Recovery via Capped Nuclear Norm

IEEE Access, 2019
Inspired by the robustness and efficiency of the capped nuclear norm, in this paper, we apply it to 3D tensor applications and propose a novel low-rank tensor completion method via tensor singular value decomposition (t-SVD) for image and video recovery.
Xi Chen, Jie Li, Yun Song, Feng Li, Jianjun Chen, Kun Yang   +5 more
doaj   +1 more source

First Observation of the Second Harmonic of Upper Band Chorus Waves Linking to Slow Z‐Mode

Geophysical Research Letters, Volume 53, Issue 11, 16 June 2026.
Abstract The Z‐mode, comprising fast and slow branches, is a ubiquitous electromagnetic wave in planetary magnetospheres. While fast Z‐mode generation is attributed to electron cyclotron maser instability, the slow Z‐mode mechanism remains unresolved.
Si Liu, Zhonglei Gao, Yaxiong Zhou, Hongming Yang, Fuliang Xiao, Archie James Johnston, Lixian Yang   +6 more
wiley   +1 more source