Articles with "preserving network" as a keyword



Hybrid attention structure preserving network for reconstruction of under-sampled OCT images

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Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-82812-x

Abstract: Optical coherence tomography (OCT) is a non-invasive, high-resolution imaging technology that provides cross-sectional images of tissues. Dense acquisition of A-scans along the fast axis is required to obtain high digital resolution images. However, the dense… read more here.

Keywords: hybrid attention; attention structure; attention; preserving network ... See more keywords

FourierNet: Shape-Preserving Network for Henle's Fiber Layer Segmentation in Optical Coherence Tomography Images

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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3225425

Abstract: Henle's fiber layer (HFL), a retinal layer located in the outer retina between the outer nuclear and outer plexiform layers (ONL and OPL, respectively), is composed of uniformly linear photoreceptor axons and Müller cell processes.… read more here.

Keywords: network; layer; shape preserving; preserving network ... See more keywords
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SHNE: Semantics and Homophily Preserving Network Embedding.

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Published in 2021 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2021.3116936

Abstract: Graph convolutional networks (GCNs) have achieved great success in many applications and have caught significant attention in both academic and industrial domains. However, repeatedly employing graph convolutional layers would render the node embeddings indistinguishable. For… read more here.

Keywords: homophily preserving; network embedding; semantics; semantics homophily ... See more keywords

A technique for preserving network structure in randomized Hi-C data

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Published in 2024 at "Journal of bioinformatics and computational biology"

DOI: 10.1142/s0219720024400018

Abstract: Chromatin interaction data are frequently analyzed as a network to study several aspects of chromatin structure. Hi-C experiments are costly and there is a need to create simulated networks for quality assessment or result validation… read more here.

Keywords: structure randomized; structure; preserving network; network ... See more keywords

SPNet: Structure preserving network for depth completion

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Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0280886

Abstract: Depth completion aims to predict a dense depth map from a sparse one. Benefiting from the powerful ability of convolutional neural networks, recent depth completion methods have achieved remarkable performance. However, it is still a… read more here.

Keywords: depth completion; preserving network; structure preserving; depth ... See more keywords