Results 11 to 20 of about 619,769 (292)
Vessel wall enhancement (VWE) in contrast-enhanced magnetic resonance imaging (MRI) is a potential biomarker for intracranial aneurysm (IA) risk stratification.
Sricharan S. Veeturi +7 more
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Introducing a new Trusted Research Environment - the Safe Haven Artificial Platform (SHAIP).
Objectives Scotland has an established Trusted Research Environment (TREs) through the Scottish Safe Haven Network. These Safe Havens traditionally service structured datasets, however, researchers increasingly require access to large multi-modal linked
Katie Wilde +4 more
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Modified Gamma-Based Model for Solving Low Mach Number Compressible Two Phase Flows
This paper presents some modifications of the gamma-based model developed by K.M. Shyue (J. Comput. Phys., 1998, 142, 208-242). In deriving process of the original model, pressure equilibrium and an isentropic condition are not involved explicitly ...
Junichi OOIDA, Kota NAKANO, Kohei NAGANE
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Background: Infarct volume measured from 2,3,5-triphenyltetrazolium chloride (TTC)-stained brain slices is critical to in vivo stroke models. In this study, we developed an interactive, tunable, software that automatically computes whole-brain infarct ...
Briana A. Santo +12 more
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Use of patient specific 3D printed neurovascular phantoms to simulate mechanical thrombectomy
Background The ability of the patient specific 3D printed neurovascular phantoms to accurately replicate the anatomy and hemodynamics of the chronic neurovascular diseases has been demonstrated by many studies.
Kelsey N. Sommer +8 more
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A pressure-based method for solving low Mach number two-phase flows with surface tension
We develop a pressure-based method using a mixture model for solving low Mach number compressible two-phase flows which contain surface tension, viscous stress, and heat conduction.
Takuya YOSHIMOTO, Junichi OOIDA
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A direct aspiration-first pass technique (ADAPT) has recently gained popularity for the treatment of large vessel ischemic stroke. Here, we sought to create a machine learning-based model that uses pre-treatment imaging metrics to predict successful ...
Tatsat R. Patel +11 more
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Sparse Random Signals for Fast Convergence on Invertible Logic
This paper introduces sparse random signals for fast convergence on invertible logic. Invertible logic based on a network of probabilistic nodes (spins), similar to a Boltzmann machine, can compute functions bidirectionally by reducing the network energy
Naoya Onizawa +6 more
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Background: VWE in contrast-enhanced magnetic resonance imaging (MRI) is a potential biomarker for the evaluation of IA. The common practice to identify IAs with VWE is mainly based on a visual inspection of MR images, which is subject to errors and ...
Sricharan S. Veeturi +8 more
doaj +1 more source
Lens System Adjustment in Semiconductor Lithography Equipment
In this paper, we address the problem of lens aberration adjustment for lenses of semiconductor lithography equipment. The objective of aberration adjustment is to minimize the maximum value of aberration in any part of the images that are projected on ...
Yuji SHINANO +3 more
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