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1
Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3188710
Abstract: Vessel segmentation is critical for disease diagnosis and surgical planning. Recently, the vessel segmentation method based on deep learning has achieved outstanding performance. However, vessel segmentation remains challenging due to thin vessels with low contrast…
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Keywords:
network;
vessel;
segmentation;
resolution network ... See more keywords
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Published in 2024 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2024.3381544
Abstract: Phase unwrapping is an important research direction in fringe projection profilometry. Improving the accuracy of phase unwrapping from a single wrapped phase map has been a research focus. Existing the deep learning mathods for phase…
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phase unwrapping;
map;
phase;
resolution network ... See more keywords
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2
Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2021.3122462
Abstract: Acquiring accurate channel state information (CSI) is critical for downlink precoding in frequency division duplexity (FDD) massive multiple-input multiple-output (MIMO) systems. In contrast to the traditional compressive sensing (CS) based methods, whose performance is hindered…
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Keywords:
mimo systems;
feedback;
network;
resolution network ... See more keywords
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Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2023.3289752
Abstract: Multi-Beam LiDAR (MBL) sensors sample the real-world with discrete 3D point clouds (PC) and have become a major and essential 3D sensing capability for autonomous robots. To ensure an accurate point sampling on surfaces, high-resolution…
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Keywords:
semantics;
sgsr net;
resolution;
resolution network ... See more keywords
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2
Published in 2023 at "Clinical and translational science"
DOI: 10.1111/cts.13542
Abstract: Endoscopic evaluation is the key to the management of ulcerative colitis (UC). However, there is interobserver variability in interpreting endoscopic images among gastroenterologists. Furthermore, it is time-consuming. Convolutional neural networks (CNNs) can help overcome these…
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Keywords:
evaluation;
endoscopic;
high resolution;
class balanced ... See more keywords
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Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0325299
Abstract: The rapid advancement of Distributed Acoustic Sensing (DAS) technology has opened up extensive prospects within the field of seismic exploration. However, unforeseeable noise present in actual DAS seismic records has led to the submergence of…
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Keywords:
multi resolution;
hybrid multi;
das data;
resolution ... See more keywords