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Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200083
Abstract: The vast amount of reflectance information obtained from the hyperspectral imaging devices offers great opportunities for investigating the function and structure of human tissue. However, the captured hyperspectral data often contain various noises due to…
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Keywords:
denoising hyperspectral;
hyperspectral data;
adaptive denoising;
visualization enhancement ... See more keywords
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1
Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202200362
Abstract: As a burgeoning medical imaging method based on hybrid fusion of light and ultrasound, photoacoustic imaging (PAI) has demonstrated high potential in various biomedical applications, especially in revealing the functional and molecular information to improve…
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Keywords:
noise;
photoacoustic signal;
kalman filter;
denoising photoacoustic ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3222826
Abstract: Image denoising is a highly challenging problem yet important task in image processing. Recently, many CNN-based denoising methods have made great performances but they commonly denoise blindly texture and non-texture regions together. This frequently leads…
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Keywords:
non texture;
region;
texture;
texture non ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3606024
Abstract: To address the challenges of “pseudo-peak” misjudgment rates in broadband impedance spectroscopy-based cable fault localization, this article proposes a dual-stage optimization method integrating wavelet adaptive denoising with particle swarm-genetic hybrid windowing. The study first introduces…
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Keywords:
fault localization;
cable fault;
wavelet adaptive;
localization ... See more keywords
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Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3526623
Abstract: Multi-Modal Knowledge Graphs (MMKGs), comprising relational triples and related multi-modal data (e.g., text and images), usually suffer from the problems of low coverage and incompleteness. To mitigate this, existing studies introduce a fundamental MMKG fusion…
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Keywords:
entity resolution;
denoising multi;
multi;
multi modal ... See more keywords
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Published in 2025 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2025.3555288
Abstract: Traffic measurement in high-speed networks is crucial for applications like traffic engineering, network management, and surveillance. Restricted by the limitations of on-chip memory resources and the speed of packet processing, most existing solutions use compact…
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Keywords:
traffic measurement;
adaptive denoising;
measurement;
denoising network ... See more keywords
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3
Published in 2023 at "Computer methods and programs in biomedicine"
DOI: 10.2139/ssrn.4327656
Abstract: BACKGROUND AND OBJECTIVE Choosing the most appropriate denoising method to improve the quality of diagnostic images maximally is key in pre-processing of diffusion MRI images. Recent advancements in acquisition and reconstruction techniques have questioned traditional…
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Keywords:
diffusion;
methodology;
kurtosis;
adaptive denoising ... See more keywords
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Published in 2024 at "Mathematics"
DOI: 10.3390/math12192996
Abstract: Traditional U-shape segmentation models can achieve excellent performance with an elegant structure. However, the single-layer decoder structure of U-Net or SwinUnet is too “thin” to exploit enough information, resulting in large semantic differences between the…
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Keywords:
decoder;
segmentation;
scale nested;
medical image ... See more keywords
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Published in 2024 at "Photonics"
DOI: 10.3390/photonics12010013
Abstract: The intertidal zone, as a dynamic ecosystem at the interface of land and sea, plays a critical role in environmental protection and disaster mitigation. The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is equipped with…
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Keywords:
photon;
intertidal zones;
point;
adaptive denoising ... See more keywords