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Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-10545-1
Abstract: Magnetic Resonance Imaging (MRI) is rarely used for molecular binding studies and never without synthetic metallic labels. We designed an MRI approach that can specifically detect the binding of natural substrates (i.e. no chemical labels).…
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Keywords:
substrate binding;
detection;
detection dynamic;
binding using ... See more keywords
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Published in 2021 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2114413119
Abstract: Significance Amyloid-β (Aβ) is the subject of intense scrutiny because of its close association with Alzheimer’s disease (AD), which currently afflicts about 50 million people worldwide. The results reported in this manuscript focus on the…
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Keywords:
nuclear polarization;
detection;
dynamic nuclear;
mas nmr ... See more keywords
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Published in 2023 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3272731
Abstract: As many real-world networks evolve over time, such as social networks, user-item networks, and IP-IP networks, anomaly detection for dynamic graphs has attracted growing attention. Most existing studies focus on detecting anomalous nodes or edges…
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Keywords:
detection dynamic;
dynamic graphs;
anomaly detection;
motif level ... See more keywords
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Published in 2017 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13273
Abstract: Detecting anatomical landmarks on various human models with dynamic poses remains an important and challenging problem in computer graphics research. We present a novel framework that consists of two‐level regressors for finding correlations between human…
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Keywords:
landmark detection;
regression;
detection dynamic;
human models ... See more keywords