Research Paper (538)

  • LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion
    LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion

    Xintong Hu

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  • Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports
    Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports

    Yuxin Liu

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  • Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data
    Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data

    Yaqing Meng

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  • PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation
    PCRFed: personalized federated learning with contrastive representation for non-independently and identically distributed medical image segmentation

    Shengyuan Liu

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  • Active interaction strategy generation for human-robot collaboration based on trust
    Active interaction strategy generation for human-robot collaboration based on trust

    Yujie Guo

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  • Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems
    Harmonized technical standard test methods for quality evaluation of medical fluorescence endoscopic imaging systems

    Bodong Liu

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  • Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images
    Advancing breast cancer diagnosis: token vision transformers for faster and accurate classification of histopathology images

    Mouhamed Laid Abimouloud

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  • Artificial intelligence in retinal image analysis for hypertensive retinopathy diagnosis: a comprehensive review and perspective
    Artificial intelligence in retinal image analysis for hypertensive retinopathy diagnosis: a comprehensive review and perspective

    Rajendra Kankrale

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  • Graph visualization efficiency of popular web-based libraries
    Graph visualization efficiency of popular web-based libraries

    Xin Zhao

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  • Avatars in the educational metaverse
    Avatars in the educational metaverse

    Md Zabirul Islam

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  • Explainable machine learning framework for cataracts recognition using visual features
    Explainable machine learning framework for cataracts recognition using visual features

    Xiao Wu

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  • Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior
    Global residual stress field inference method for die-forging structural parts based on fusion of monitoring data and distribution prior

    Shuyuan Chen

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  • Radiographic prediction model based on X-rays predicting anterior cruciate ligament function in patients with knee osteoarthritis
    Radiographic prediction model based on X-rays predicting anterior cruciate ligament function in patients with knee osteoarthritis

    Guanghan Gao

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  • Nucleus pulposus clamping procedures based on optimized material point method for surgical simulation systems
    Nucleus pulposus clamping procedures based on optimized material point method for surgical simulation systems

    Jianlong Ni

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  • Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction
    Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction

    Huong Hoang Luong

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  • Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation
    Visual explainable artificial intelligence for graph-based visual question answering and scene graph curation

    Sebastian Künzel

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  • Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning
    Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learning

    Linxuan Wang

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  • Machine learning approach for the prediction of macrosomia
    Machine learning approach for the prediction of macrosomia

    Xiaochen Gu

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  • Survey of real-time brainmedia in artistic exploration
    Survey of real-time brainmedia in artistic exploration

    Rem RunGu Lin

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  • Medical image registration and its application in retinal images: a review
    Medical image registration and its application in retinal images: a review

    Qiushi Nie

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  • V4RIN: visual analysis of regional industry network with domain knowledge
    V4RIN: visual analysis of regional industry network with domain knowledge

    Wenli Xiong

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  • IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models
    IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models

    Zhihao Chen

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  • Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics
    Non-invasively identifying candidates of active surveillance for prostate cancer using magnetic resonance imaging radiomics

    Yuwei Liu

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  • Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm
    Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm

    Taofik Ahmed Suleiman

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  • Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items
    Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items

    Divya Velayudhan

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  • Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images
    Correction: Multi-task approach based on combined CNN-transformer for efficient segmentation and classification of breast tumors in ultrasound images

    Jaouad Tagnamas

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  • Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
    Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms

    Muhammad Ramzan

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  • Flipover outperforms dropout in deep learning
    Flipover outperforms dropout in deep learning

    Yuxuan Liang

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  • Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification
    Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification

    Yun Gao

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  • Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification
    Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification

    Yufei Li

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