Rethinking the neighborhood information for deep learning-based optical coherence tomography angiography.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15618
Abstract: PURPOSE Optical coherence tomography angiography (OCTA) is a premium imaging modality for non-invasive microvasculature studies. Deep learning networks have achieved promising results in the OCTA reconstruction task, benefiting from their powerful modeling capability. However, two… read more here.
Keywords: information; neighborhood information; octa reconstruction; deep learning ... See more keywords
Practical characterization of large networks using neighborhood information
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DOI: 10.1007/s10115-018-1167-0
Abstract: Characterizing large complex networks such as online social networks through node querying is a challenging task. Network service providers often impose severe constraints on the query rate, hence limiting the sample size to a small… read more here.
Keywords: large networks; information; neighborhood information; characterization large ... See more keywords
Knowledge-Aware Enhanced Network Combining Neighborhood Information for Recommendations
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DOI: 10.3390/app13074577
Abstract: In recent years, the application of knowledge graphs to alleviate cold start and data sparsity problems of users and items in recommendation systems, has aroused great interest. In this paper, in order to address the… read more here.
Keywords: information; neighborhood information; knowledge graph; knowledge aware ... See more keywords