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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-76518-z
Abstract: Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle, environment and disease. We developed a deep neural network model trained on brain MRI scans of healthy people to predict…
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Keywords:
brain ageing;
accelerated mri;
mri predicted;
predicted brain ... See more keywords
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Published in 2023 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/acc0cd
Abstract: Three-dimensional MRI has been increasingly incorporated into various clinical applications, as it provided better through-plane spatial resolution which potentially enhanced the ability to detect more-subtle abnormalities, and provides much more valuable information for clinical usage.…
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Keywords:
accelerated mri;
advances highly;
biology;
highly accelerated ... See more keywords
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Published in 2021 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2021.3097596
Abstract: Convolutional Neural Networks (CNNs) are highly effective for image reconstruction problems. Typically, CNNs are trained on large amounts of training images. Recently, however, un-trained CNNs such as the Deep Image Prior and Deep Decoder have…
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Keywords:
reconstruction;
trained neural;
accelerated mri;
performance ... See more keywords
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Published in 2019 at "Quantitative imaging in medicine and surgery"
DOI: 10.21037/qims.2019.06.18
Abstract: Background To evaluate the performance of a highly accelerated 3D MRI on inter-fractional positional measurement for MR-guided radiotherapy (MRgRT) in the head and neck (HN). Methods Fourteen healthy volunteers received 159 scans on a 1.5…
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Keywords:
highly accelerated;
accelerated mri;
lqi mri;
guided radiotherapy ... See more keywords