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Published in 2018 at "Brain Topography"
DOI: 10.1007/s10548-018-0647-6
Abstract: Parcellation-based approaches are an important part of functional magnetic resonance imaging data analysis. They are a necessary processing step for sorting data in structurally or functionally homogenous regions. Real functional magnetic resonance imaging datasets usually…
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Keywords:
representative signals;
relative data;
robustness representative;
signals relative ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922293
Abstract: With the development of the Internet of Things (IoT), the delay caused by network transmission has led to low data processing efficiency. The emergence of edge computing can effectively reduce the delay of data transmission…
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Keywords:
protection;
data loss;
differential privacy;
edge computing ... See more keywords
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Published in 2020 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2019.2962691
Abstract: Emergence of Solid-State Drives (SSDs) have evolved the data storage industry where they are rapidly replacing Hard Disk Drives (HDDs) due to their superiority in performance and power. Meanwhile, SSDs have reliability issues due to…
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Keywords:
data loss;
erasure codes;
ssd arrays;
bad chips ... See more keywords
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Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0247343
Abstract: Magnetic Resonance Imaging (MRI) motion artefacts frequently complicate structural and diffusion MRI analyses. While diffusion imaging is easily ‘scrubbed’ of motion affected volumes, the same is not true for T1w or T2w ‘structural’ images. Structural…
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Keywords:
structural images;
diffusion;
generated diffusion;
diffusion imaging ... See more keywords