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Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2019.163457
Abstract: Abstract Optical tomography is a powerful tool for preclinical and clinical biomedical research, which enables quantitative observation and precise localization of regions of interest within biological tissues. However, the excessive time caused by the forward…
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Keywords:
phantom;
method;
forward model;
optical tomography ... See more keywords
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Published in 2020 at "International Journal of Thermal Sciences"
DOI: 10.1016/j.ijthermalsci.2020.106377
Abstract: Abstract This paper reports the results of an investigation to solve the inverse problem of estimating the strengths of different strip heat sources embedded in a flat plate under laminar steady-state forced convection and by…
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Keywords:
heat;
forward model;
liquid crystal;
heat sources ... See more keywords
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Published in 2020 at "Ultrasonics"
DOI: 10.1016/j.ultras.2020.106168
Abstract: Computed ultrasound tomography in echo mode (CUTE) allows determining the spatial distribution of speed-of-sound (SoS) inside tissue using handheld pulse-echo ultrasound (US). This technique is based on measuring the changing phase of beamformed echoes obtained…
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Keywords:
speed sound;
forward model;
pulse echo;
phase shift ... See more keywords
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Published in 2020 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2021/04/033
Abstract: A forward model of matter and biased tracers at arbitrary order in Lagrangian perturbation theory (LPT) is presented. The forward model contains the complete LPT displacement field at any given order in perturbations, as well…
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Keywords:
model large;
order;
lagrangian forward;
forward model ... See more keywords
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Published in 2019 at "Brain"
DOI: 10.1093/brain/awy306
Abstract: Current theories of motor control emphasize how the brain may use internal models of the body to ensure accurate planning and control of movements. One such internal model-a forward model-is thought to generate an estimate…
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Keywords:
forward model;
control;
tourette syndrome;
movement ... See more keywords
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Published in 2018 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2017.2764461
Abstract: Multiple scattering of an electromagnetic wave as it passes through an object is a fundamental problem that limits the performance of current imaging systems. In this paper, we describe a new technique—called Series Expansion with…
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Keywords:
forward model;
image reconstruction;
seagle sparsity;
multiple scattering ... See more keywords
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1
Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3094714
Abstract: Deep neural networks have been applied successfully to a wide variety of inverse problems arising in computational imaging. These networks are typically trained using a forward model that describes the measurement process to be inverted,…
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Keywords:
inverse;
inverse problems;
model;
network ... See more keywords
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Published in 2021 at "Frontiers in Neurology"
DOI: 10.3389/fneur.2021.694653
Abstract: Lesions in the Guillain–Mollaret (G–M) triangle frequently cause various types of tremors or tremor-like movements. Nevertheless, we know relatively little about their generation mechanisms. The deep cerebellar nuclei (DCN), which is a primary node of…
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Keywords:
tremor like;
forward model;
path;
loop ... See more keywords