Dong Zhang

3D Human Pose Estimation from Monocular Video Sequences in Underwater Scenarios

Shuwen Liang, Hailong Liu, Ping Liu, Dong Zhang et autres

This paper presents a novel approach for estimating 3D human pose from monocular video sequences in underwater scenarios, tackling the unique challenges posed by water refraction, body occlusion, low image quality and illumination distortion in underwater environments. Leveraging both 2D keypoint extraction …

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Inflammation, immune cells, signaling mechanisms, and diseases of male reproductive system

Yan-na Zhu, Wen-Cong Jin, Dong Zhang, Zuping He

Male infertility has become a serious issue in reproductive health. Inflammation of male reproductive system is a prevalent factor that influences male fertility. On the one hand, inflammation serves as the innate defense mechanism against injury, infection, and abnormal stimuli; and notably, …

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NLRP3 activation by lipopolysaccharide (LPS) mediates the pyroptosis of human spermatogonial stem cells via GBP4 regulation

Wen-Cong Jin, Dong Zhang, Ying-Hong Cui, Li Du et autres

Human spermatogonial stem cells (SSCs) are crucial for spermatogenesis and male reproduction. Although abnormal pyroptosis caused by inflammation impacts male fertility, the molecular mechanisms underlying the pyroptosis of human SSCs are elusive. To induce pyroptosis, lipopolysaccharide (LPS) was introduced into the vas …

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Brain tumor segmentation in Sub-Saharan Africa patient population: The BraTS-Africa challenge

Maruf Adewole, Jeffrey D. Rudie, Anu Gbadamosi, Dong Zhang et autres

Background: Automated brain tumor segmentation on multi-parametric magnetic resonance imaging (mpMRI) is crucial in assessing patient outcomes and remains a challenge across Sub-Saharan Africa (SSA). Since 2012, the Brain Tumor Segmentation (BraTS) Challenge has evaluated state-of-the-art artificial intelligence (AI) methods to detect, …

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Fabrication of BiOI/UiO-66 Z-scheme heterojunctions with improved photodegradation performance of tetracycline

Xinyu Bai, Saheed Olalekan Sanni, Zhengliang Dong, Yanjun Zhang et autres

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Cation-π interactions at the Cu-HHTP/MXene hybrid interface for efficient electrocatalytic CO2 reduction

Li‐Qun Gu, Ren Ma, Feiyang Yu, Dong Zhang et autres

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Accuracy comparative study of automatic landmarking and diagnostic models on lateral cephalograms

Wen-Qing Bu, Zhiqiang Tian, Mengqi Han, Dong Zhang et autres

BACKGROUND: The application of deep learning techniques in cephalometric analysis has become increasingly prominent. Although automatic landmarking models for cephalometric analysis have been developed, their accuracy still requires validation and relies heavily on clinicians to resolve discrepancies between results. To address these …

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Novel Resin–Gel Composite for Multistage Water Shut‐Off in Fractured Tight Reservoirs: Mechanistic Insights and Performance Evaluation

Hu Jia, Siqi Liu, Juncheng Li, Huijie Ma et autres

ABSTRACT The development of fractured tight oil reservoirs is challenged by early water breakthrough and inefficient sweep efficiency. This study presents a novel resin–gel composite (composed of thermosetting phenolic resin, xanthan gum, bentonite, and sodium metasilicate) for multistage conformance control. The composite …

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Corrigendum to “Investigating the corrosion and cavitation resistance of novel Al-Co-Cr-Ni eutectic high-entropy alloys” [Journal of Alloys and Compounds 1044 (2025) 184321]

Xueming Wei, Qixiang Jia, Lijun Zhang, Fengyi Zhang et autres

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Investigating the corrosion and cavitation resistance of novel Al-Co-Cr-Ni eutectic high-entropy alloys

Xueming Wei, Qixiang Jia, Lijun Zhang, Fengyi Zhang et autres

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A depth-estimation-based method for multi-view synthesis applied to Chinese landscape paintings

Xianlin Peng, Wanlin Zhou, Qiyao Hu, Teng‐Fei Li et autres

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Machine learning–based quantification of overall and internal ultrasound characteristics for diagnosing malignant partially cystic thyroid nodules

Yutong Zhang, Jue Jiang, Aqian Chen, Dong Zhang et autres

Introduction: Partially cystic thyroid nodules (PCTNs) with malignant potential are frequently underestimated due to limited recognition of their sonographic characteristics. Methods: This retrospective analysis included 486 PCTNs identified between March 2021 and September 2022. Machine learning (ML) was employed to quantitatively evaluate …

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