Search Results - Recent Advances in Deep Learning for Biomedical Signal Processing

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  1. 1

    Machine learning methods for bio-medical image and signal processing: Recent advances by Wang, Lipo, Sourina, Olga, Erdt, Marius, Wang, Yaoli, Chang, Qing

    ISSN: 1046-2023, 1095-9130, 1095-9130
    Published: United States Elsevier Inc 01.06.2022
    Published in Methods (San Diego, Calif.) (01.06.2022)
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    Journal Article
  2. 2

    Special issue on deep learning in biomedical signal and medical image processing [1128 T] by Hu, Tao, Liu, Liu, Si, Wen

    ISSN: 1380-7501, 1573-7721
    Published: New York Springer US 01.04.2020
    Published in Multimedia tools and applications (01.04.2020)
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    Journal Article
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    Recent Advances in Biomedical Signal Processing by Górriz, Juan Manuel, Lang, Elmar W, Ramírez, Javier

    ISBN: 1608055701, 9781608055708
    Published: Sharjah Bentham Science Publishers 2011
    “…Biomedical signal processing is a rapidly expanding field with a wide range of applications, from the construction of artificial limbs and aids for disabilities to the development of sophisticated…”
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    eBook
  5. 5

    Deep EEG: Deep learning in biomedical signal processing with EEG applications

    ISBN: 0128189460, 9780128189467
    Published: United States Elsevier Science & Technology 2020
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    Book Chapter
  6. 6

    Exploring Cutting-Edge Developments in Deep Learning for Biomedical Signal Processing by Zhu, Yukun, Zhang, Haiyan, Liu, Bing, Dou, Junyan

    ISSN: 2158-107X, 2156-5570
    Published: West Yorkshire Science and Information (SAI) Organization Limited 2024
    “… Biomedical signal processing determines patterns of signals and serves as the backbone for reliable applications, medical diagnostics, and research. Deep Learning (DL…”
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    Journal Article
  7. 7

    A Multi-Resolution Deep Learning Approach for IoT-Integrated Biomedical Signal Processing using CNN-LSTM by Priyadharshini, K., Mathias, Ajisha, Krishnan, R. Santhana, Kanthimathi, N, Francis Raj, J. Relin, Malar, P. Stella Rose

    Published: IEEE 07.04.2025
    “… To enhance signal quality, the preprocessing stage employs Wavelet Transform (WT) for denoising biomedical signals, mitigating motion artifacts and environmental noise…”
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    Conference Proceeding
  8. 8

    Deep Learning in Biomedical Image and Signal Processing: A Survey by Omarov, Batyrkhan

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Published: Henderson Tech Science Press 2025
    Published in Computers, materials & continua (2025)
    “…Deep learning now underpins many state-of-the-art systems for biomedical image and signal processing, enabling automated lesion detection, physiological monitoring, and therapy planning with accuracy…”
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    Journal Article
  9. 9

    RETRACTED: EEG signal processing by feature extraction and classification based on biomedical deep learning architecture with wireless communication by Sodagudi, Suhasini, Manda, Sridhar, Smitha, Bandi, Chaitanya, N., Ahmed, Mohammed Altaf, Deb, Nabamita

    ISSN: 0030-4026
    Published: Elsevier GmbH 01.11.2022
    Published in Optik (Stuttgart) (01.11.2022)
    “…This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/locate/withdrawalpolicy). This article has been…”
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    Journal Article
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    Advances in Deep Learning for Digital Signal Processing in Coherent Optical Modems by Kuschnerov, Maxim, Schaedler, Maximilian, Bluemm, Christian, Calabro, Stefano

    Published: OSA 01.03.2020
    “…We analyze the advances of deep learning in optical coherent modems on the physical layer with respect to modulation design, equalization and signal detection and give an outlook on a combined control…”
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    Conference Proceeding
  13. 13

    Subsurface Exploration: Recent Advances in Geo-Signal Processing, Interpretation, and Learning [From the Guest Editors] by AlRegib, Ghassan, Fomel, Sergey, Lopes, Renato

    ISSN: 1053-5888, 1558-0792
    Published: New York IEEE 01.03.2018
    Published in IEEE signal processing magazine (01.03.2018)
    “… Signal processing, data interpretation, and modeling have been the cornerstones of such innovations…”
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    Magazine Article
  14. 14

    Topological Signal Processing and Learning: Recent Advances and Future Challenges by Isufi, Elvin, Leus, Geert, Beferull-Lozano, Baltasar, Barbarossa, Sergio, Paolo Di Lorenzo

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 02.12.2024
    Published in arXiv.org (02.12.2024)
    “… Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing their interactions, leading to the establishment of the fields of graph signal processing (GSP…”
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    Paper
  15. 15

    Recent advances in machine learning for signal analysis and processing by Cao, Jiuwen, Kummert, Anton, Lin, Zhiping, Velten, Joerg

    ISSN: 0016-0032, 1879-2693, 0016-0032
    Published: Elmsford Elsevier Ltd 01.03.2018
    Published in Journal of the Franklin Institute (01.03.2018)
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    Journal Article
  16. 16

    Topological signal processing and learning: Recent advances and future challenges by Isufi, Elvin, Leus, Geert, Beferull-Lozano, Baltasar, Barbarossa, Sergio, Di Lorenzo, Paolo

    ISSN: 0165-1684
    Published: Elsevier B.V 01.08.2025
    Published in Signal processing (01.08.2025)
    “… Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing their interactions, leading to the establishment of the fields of graph signal processing (GSP…”
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    Journal Article
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    A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications by Liu, Sijia, Chen, Pin-Yu, Kailkhura, Bhavya, Zhang, Gaoyuan, Hero, Alfred O., Varshney, Pramod K.

    ISSN: 1053-5888, 1558-0792
    Published: New York IEEE 01.09.2020
    Published in IEEE signal processing magazine (01.09.2020)
    “…Zeroth-order (ZO) optimization is a subset of gradient-free optimization that emerges in many signal processing and machine learning (ML) applications…”
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    Magazine Article
  18. 18

    Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals by Essa, Almabrok, Kotte, Hari

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 30.12.2021
    Published in arXiv.org (30.12.2021)
    “…), Computed Tomography (CT) and others, which will be discussed briefly in this paper. This paper discusses about the currently emerging techniques such as the usage of different Deep Learning (DL…”
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    Paper
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    A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers by Zhang, Xiang, Yao, Lina, Wang, Xianzhi, Monaghan, Jessica, McAlpine, David, Zhang, Yu

    ISSN: 1741-2552, 1741-2552
    Published: England 01.06.2021
    Published in Journal of neural engineering (01.06.2021)
    “… The emerging deep learning techniques have improved the study of brain signals significantly in recent years…”
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    Journal Article