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Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29441
Abstract: To develop and validate a deep learning‐based reconstruction framework for highly accelerated two‐dimensional (2D) phase contrast (PC‐MRI) data with accurate and precise quantitative measurements.
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Keywords:
based reconstruction;
two dimensional;
dimensional phase;
deep learning ... See more keywords
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Published in 2023 at "NMR in biomedicine"
DOI: 10.1002/nbm.4927
Abstract: PURPOSE Intravoxel incoherent motion (IVIM) imaging and diffusion-tensor imaging (DTI) facilitate non-invasive quantification of tissue perfusion and diffusion. Both are promising biomarkers in various diseases and a combined acquisition is therefore desirable. This comes with…
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Keywords:
based reconstruction;
diffusion;
parameter;
reconstruction ... See more keywords
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Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-017-1079-6
Abstract: We deal with the reconstruction of surfaces that deform under a variety of conditions. The deformation can range from no extension to a certain degree of extensibility. The deformed surface is reconstructed from a single…
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Keywords:
reconstruction;
surface;
surfaces undergoing;
based reconstruction ... See more keywords
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Published in 2021 at "Indian journal of orthopaedics"
DOI: 10.1007/s43465-021-00456-9
Abstract: Aim Patient Specific Instrumentation (PSI) with 3D bone models have been used to improve the outcomes of Total Knee Arthroplasty (TKA). The PSI, however, needs a CT (Computed tomography)/MRI scan to reproduce a bone-based model.…
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Keywords:
reconstruction;
tka;
reconstruction lower;
lower limb ... See more keywords
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Published in 2017 at "Journal of Wind Engineering and Industrial Aerodynamics"
DOI: 10.1016/j.jweia.2017.07.007
Abstract: The development of efficient methodologies for the reconstruction of pollutant source characteristics in urban areas is a challenging issue due to the complexity of the flow in such environments, requiring the use of expensive computational…
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Keywords:
assimilation;
pollutant source;
data assimilation;
based reconstruction ... See more keywords
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Published in 2021 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2021.10.038
Abstract: OBJECTIVE To assess a new deep learning-based MR reconstruction method, "DLRecon," for clinical evaluation of peripheral nerves. METHODS Sixty peripheral nerves were prospectively evaluated in 29 patients (mean age: 49 ± 16 years, 17 female) undergoing standard-of-care (SOC)…
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Keywords:
reconstruction;
agreement;
visualization;
deep learning ... See more keywords
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Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aa9ea6
Abstract: A new directed interval-based tomographic reconstruction algorithm, called non-additive interval based expectation maximization (NIBEM) is presented. It uses non-additive modeling of the forward operator that provides intervals instead of single-valued projections. The detailed approach is…
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Keywords:
interval based;
reconstruction uncertainty;
interval;
based reconstruction ... See more keywords
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Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac4830
Abstract: Objective. Pulmonary embolism (PE) is an acute condition that blocks the perfusion to the lungs and is a common complication of Covid-19. However, PE is often not diagnosed in time, especially in the pandemic time…
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Keywords:
based reconstruction;
pulmonary embolism;
perfusion;
bioimpedance ... See more keywords
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Published in 2018 at "Plastic and Reconstructive Surgery"
DOI: 10.1097/prs.0000000000004275
Abstract: Background: Social media are used for information sharing among patients with similar health conditions, and analysis of social media activity could inform clinical decision-making. The aim of this study was to use Facebook to evaluate…
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Keywords:
reconstruction;
social media;
implant based;
breast reconstruction ... See more keywords
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Published in 2022 at "Investigative Radiology"
DOI: 10.1097/rli.0000000000000943
Abstract: Objectives The aim of this study was to evaluate the usefulness of breath-hold turbo spin echo with deep learning–based reconstruction (BH-DL-TSE) in acquiring fat-suppressed T2-weighted images (FS-T2WI) of the liver by comparing this method with…
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Keywords:
based reconstruction;
haste;
deep learning;
tse ... See more keywords
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Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3147814
Abstract: Concrete cracks are one of the most apparent indicators for possible structural deterioration and need to be periodically inspected. However, for current image-based automated crack inspection techniques, accurate and detailed crack quantification and assessment remain…
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Keywords:
based reconstruction;
crack;
reconstruction bayesian;
crack quantification ... See more keywords