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  1. Article

    Open Access

    Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences

    This study aims to enhance supervised human activity recognition based on spatiotemporal graph convolutional neural networks by addressing two key challenges: (1) extracting local spatial feature information f...

    Jianmin Xu, Fenglin Liu, Qinghui Wang in EURASIP Journal on Advances in Signal Proc… (2024)

  2. Article

    Open Access

    Enhancing medical image object detection with collaborative multi-agent deep Q-networks and multi-scale representation

    Object detection holds a crucial role in medical diagnostics. Tasks like organ segmentation and malignancy diagnosis typically necessitate preliminary localization of corresponding anatomical structures. Preci...

    Qinghui Wang, Fenglin Liu, Ruirui Zou in EURASIP Journal on Advances in Signal Proc… (2023)

  3. No Access

    Article

    Dictionary Learning-Based Image Reconstruction for Terahertz Computed Tomography

    Terahertz computed tomography (THz CT) demonstrates its advantages in aspects of nonmetallic and nonpolar materials penetration, 3D internal structure visualization, etc. To perform satisfied reconstruction re...

    Fasheng Zhong, Liting Niu, Weiwen Wu in Journal of Infrared, Millimeter, and Terah… (2021)

  4. No Access

    Article

    A novel technique for the detection of myocardial dysfunction using ECG signals based on hybrid signal processing and neural networks

    Heart disease prevention is one of the most important tasks for healthcare problems since more than 50 million people around the world are at the risk of cardiovascular disease. Traditionally, electrocardiogra...

    Wei Zeng, Jian Yuan, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang in Soft Computing (2021)

  5. No Access

    Article

    Top-Level System Designs for Hybrid Low-Field MRI–CT with Potential of Pulmonary Imaging

    We previously discussed “omni-tomography”, but intrinsic conflicts between the magnetic fields of the MRI and the X-ray tube within the CT are inherent. We propose that by using low-field MRI with a negligible...

    Venkata R. Yelleswarapu, Fenglin Liu, Wenxiang Cong, Ge Wang in Sensing and Imaging (2014)