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  1. No Access

    Article

    SoccerNet 2023 challenges results

    The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into t...

    Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera in Sports Engineering (2024)

  2. No Access

    Article

    QEA-QCNN: optimization of quantum convolutional neural network architecture based on quantum evolution

    Quantum neural network (QNN) is a research orientation that combines quantum computing and machine learning. It has the potential to solve the bottleneck problem of shortage of computing resource in deep learn...

    Yangyang Li, **aobin Hao, Guanlong Liu, Ronghua Shang, Licheng Jiao in Memetic Computing (2024)

  3. No Access

    Article

    Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification

    Real-world data are long-tailed, the lack of tail samples leads to a significant limitation in the generalization ability of the model. Although numerous approaches of class re-balancing perform well for moder...

    Yanbiao Ma, Licheng Jiao, Fang Liu in International Journal of Computer Vision (2024)

  4. No Access

    Article

    Triboelectric and piezoelectric materials for smart health in human-integrated healthcare systems

    This paper presents a comprehensive exploration of the role of smart materials, specifically triboelectric and piezoelectric materials, in the context of human-integrated healthcare systems. The study begins b...

    Reza Mohsenian, Ali Matin Nazar, Fatemeh Ranjbar in MRS Communications (2024)

  5. Article

    Open Access

    Correction to: High remnant cholesterol as a risk factor for develo** chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population

    Wenting Zhu, Qiushi Liu, Fang Liu, Chenfeng Jiao, Lihua Zhang in Acta Diabetologica (2024)

  6. Article

    Open Access

    High remnant cholesterol as a risk factor for develo** chronic kidney disease in patients with prediabetes and type 2 diabetes: a cross-sectional study of a US population

    To examine any potential links between remnant cholesterol (RC) and comorbid chronic kidney disease (CKD) in individuals with prediabetes and type 2 diabetes mellitus (T2DM).

    Wenting Zhu, Qiushi Liu, Fang Liu, Chenfeng Jiao, Lihua Zhang in Acta Diabetologica (2024)

  7. No Access

    Article

    Mediation of mitochondrial DNA copy number and oxidative stress in fluoride-related bone mineral density alteration in Chinese farmers

    Excessive fluoride can adversely affect bone mineral density (BMD). Oxidative stress and mitochondrial dysfunction are crucial mechanisms of health damage induced by fluoride. Here, a cross-sectional survey in...

    Yue Ba, Zichen Feng, **aoli Fu, Ruiqin Chen in Environmental Geochemistry and Health (2024)

  8. No Access

    Article

    A novel approach correlating pathologic complete response with digital pathology and radiomics in triple-negative breast cancer

    This rapid communication highlights the correlations between digital pathology—whole slide imaging (WSI) and radiomics—magnetic resonance imaging (MRI) features in triple-negative breast cancer (TNBC) patients...

    Sean M. Hacking, Gabrielle Windsor, Robert Cooper, Zhicheng Jiao in Breast Cancer (2024)

  9. Article

    Open Access

    Visual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment

    Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). ...

    Anlin Luo, Shui** Gou, Nuo Tong, Bo Liu, Licheng Jiao, Hu Xu in npj Digital Medicine (2024)

  10. No Access

    Article

    An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer

    Uptake segmentation and classification on PSMA PET/CT are important for automating whole-body tumor burden determinations. We developed and evaluated an automated deep learning (DL)-based framework that segmen...

    Yang Li, Maliha R. Imami, Linmei Zhao in Journal of Imaging Informatics in Medicine (2024)

  11. Article

    Open Access

    Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network

    Facial expression recognition (FER) is still challenging due to the small interclass discrepancy in facial expression data. In view of the significance of facial crucial regions for FER, many existing studies ...

    Guanghui Shi, Shasha Mao, Shui** Gou, Dandan Yan in Machine Intelligence Research (2024)

  12. No Access

    Article

    Active Learning in Brain Tumor Segmentation with Uncertainty Sampling and Annotation Redundancy Restriction

    Deep learning models have demonstrated great potential in medical imaging but are limited by the expensive, large volume of annotations required. To address this, we compared different active learning strategi...

    Daniel D Kim, Rajat S Chandra, Li Yang in Journal of Imaging Informatics in Medicine (2024)

  13. No Access

    Article

    Deep convolutional encoder–decoder networks based on ensemble learning for semantic segmentation of high-resolution aerial imagery

    Due to the complexity of object information and optical conditions of high-resolution aerial imagery, it is difficult to obtain fine semantic segmentation performance. Although various deep neural network stru...

    Huming Zhu, Chendi Liu, Qiuming Li in CCF Transactions on High Performance Compu… (2024)

  14. No Access

    Article

    Mmy-net: a multimodal network exploiting image and patient metadata for simultaneous segmentation and diagnosis

    Accurate medical image segmentation can effectively assist disease diagnosis and treatment. While neural networks were often applied to solve the segmentation problem in recent computer-aided diagnosis, the me...

    Renshu Gu, Yueyu Zhang, Lisha Wang, Dechao Chen, Yaqi Wang in Multimedia Systems (2024)

  15. No Access

    Article

    Investigations of Vibration Energy Harvester Applying the Triangular Structure with a Tunable Resonant Frequency

    This paper investigates a vibration energy harvester with a triangular structure for lowfrequency vibrations, focusing on the analysis of nonlinear stiffness and dam** characteristics generated by the struct...

    **aozhe Chen, Zhicheng Jiao, Jialian Shi in Journal of Vibration Engineering & Technologies (2024)

  16. Article

    Open Access

    RcMYB8 enhances salt and drought tolerance in rose (Rosa chinensis) by modulating RcPR5/1 and RcP5CS1

    Plant Myeloblastosis (MYB) proteins function crucially roles upon variegated abiotic stresses. Nonetheless, their effects and mechanisms in rose (Rosa chinensis) are not fully clarified. In this study, we charact...

    Yichang Zhang, Shuang Yu, Pengfei Niu, Lin Su, Xuecheng Jiao in Molecular Horticulture (2024)

  17. No Access

    Article

    Evidence for the Late Pliocene Aridification in the Eastern Tarim Basin, Northwest China

    Hua Zhang, Feng-Lin Lü, Cheng-Lin Liu, Peng-Cheng Jiao in Journal of Earth Science (2023)

  18. No Access

    Article

    Brain Tumor Segmentation for Multi-Modal MRI with Missing Information

    Deep convolutional neural networks (DCNNs) have shown promise in brain tumor segmentation from multi-modal MRI sequences, accommodating heterogeneity in tumor shape and appearance. The fusion of multiple MRI s...

    Xue Feng, Kanchan Ghimire, Daniel D. Kim, Rajat S. Chandra in Journal of Digital Imaging (2023)

  19. Article

    Open Access

    Mechanical metamaterials and beyond

    Mechanical metamaterials enable the creation of structural materials with unprecedented mechanical properties. However, thus far, research on mechanical metamaterials has focused on passive mechanical metamate...

    Pengcheng Jiao, Jochen Mueller, Jordan R. Raney in Nature Communications (2023)

  20. No Access

    Article

    The value of inflammatory biomarkers in the occurrence and prognosis of sudden sensorineural hearing loss: a meta-analysis

    Sudden sensorineural hearing loss (SSNHL) is one of the common emergencies in otorhinolaryngology. Several studies have shown that chronic inflammation is associated with its onset and prognosis. However, the ...

    Li Chen, Maohua Wang, Wentao Zhang, Xu Zhang in European Archives of Oto-Rhino-Laryngology (2023)

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