Zobrazeno 1 - 10
of 8 866
pro vyhledávání: '"Sahli, A."'
The anisotropic structure of the myocardium is a key determinant of the cardiac function. To date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We recently proposed Fibernet, a method for the automatic identification of
Externí odkaz:
http://arxiv.org/abs/2410.23388
Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. However, detailed models, such as the monodomain model, are computationally costly and have limited applicability in practice. Thus, it desirabl
Externí odkaz:
http://arxiv.org/abs/2410.22583
Recent works have shown that traditional Neural Network (NN) architectures display a marked frequency bias in the learning process. Namely, the NN first learns the low-frequency features before learning the high-frequency ones. In this study, we rigo
Externí odkaz:
http://arxiv.org/abs/2405.14957
Autor:
Molina, Juan, Bousse, Alexandre, Catalán, Tabita, Wang, Zhihan, Petrache, Mircea, Sahli, Francisco, Prieto, Claudia, Courdurier, Matìas
Magnetic resonance imaging (MRI) is fundamental for the assessment of many diseases, due to its excellent tissue contrast characterization. This is based on quantitative techniques, such as T1 , T2 , and T2* mapping. Quantitative MRI requires the acq
Externí odkaz:
http://arxiv.org/abs/2404.18182
Autor:
Spieker, Veronika, Eichhorn, Hannah, Stelter, Jonathan K., Huang, Wenqi, Braren, Rickmer F., Rückert, Daniel, Costabal, Francisco Sahli, Hammernik, Kerstin, Prieto, Claudia, Karampinos, Dimitrios C., Schnabel, Julia A.
Neural implicit k-space representations have shown promising results for dynamic MRI at high temporal resolutions. Yet, their exclusive training in k-space limits the application of common image regularization methods to improve the final reconstruct
Externí odkaz:
http://arxiv.org/abs/2404.08350
Curved free shear layers emerge in many engineering problems involving complex flow geometries, such as the flow over a backward facing step, flows with wall injection in a boundary layer, the flow inside side-dump combustors, or wakes generated by v
Externí odkaz:
http://arxiv.org/abs/2403.02435
Autor:
Sahli, Riad, Mikkelsen, Jeppe, Boye, Mathias Satherstrom, Dias, Marcelo A., Aghababaei, Ramin
The classical Hertzian contact model establishes a monotonic correlation between contact force and area. Here, we showed that the interplay between local friction and structural instability can deliberately lead to unconventional contact behavior whe
Externí odkaz:
http://arxiv.org/abs/2401.14926
Autor:
Álvarez-Barrientos, Felipe, Salinas-Camus, Mariana, Pezzuto, Simone, Costabal, Francisco Sahli
The identification of the Purkinje conduction system in the heart is a challenging task, yet essential for a correct definition of cardiac digital twins for precision cardiology. Here, we propose a probabilistic approach for identifying the Purkinje
Externí odkaz:
http://arxiv.org/abs/2312.09887
Autor:
Latifa Chkioua, Yessine Amri, Chayma Sahli, Tawfik Nasri, Mohamed Omar Miladi, Taieb Massoud, Sandrine Laradi, Mohamed Ghorbel, Hassen Ben Abdennebi
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-13 (2024)
Abstract Background Leber hereditary optic neuropathy (LHON) is a mitochondrial DNA (mtDNA) rare disease due to the pathogenic variant of the NADH dehydrogenase enzyme. LHON is characterized by a sudden central vision loss due to focal degeneration o
Externí odkaz:
https://doaj.org/article/a0f20a6f241f4b069a2613f7ba1d5aaa
Autor:
Fatma Ben Waer, Dan Iulian Alexe, Fatma Chaari, Cristina Ioana Alexe, Rabeb Laatar, Dana Badau, Haithem Rebai, Andreea Mihaela Albina, Adriana Ljubojevic, Sonia Sahli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The current study aimed to explore the effect of daily caffeine supplementation (100 mg/day) and 12-week of Zumba training on functional performances in middle-aged women. Eighty-five middle-aged women were randomized into 4 groups including
Externí odkaz:
https://doaj.org/article/2a1df0c869934c9ba4e26f83e3acf71b