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19 Result(s)

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  1. No Access

    Chapter and Conference Paper

    Two-Stage Hybrid Supervision Framework for Fast, Low-Resource, and Accurate Organ and Pan-Cancer Segmentation in Abdomen CT

    Abdominal organ and tumour segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manual assessment is inherently subjective wit...

    Wentao Liu, Tong Tian, Wei** Xu… in Fast, Low-resource, and Accurate Organ and… (2024)

  2. Article

    Open Access

    A feedback loop of PPP and PI3K/AKT signal pathway drives regorafenib-resistance in HCC

    Hepatocellular carcinoma (HCC) is a principal type of liver cancer with high incidence and mortality rates. Regorafenib is a novel oral multikinase inhibitor for second-line therapy for advanced HCC. However, ...

    Huihua Yang, Dahong Chen, Yafei Wu, Heming Zhou, Wen**g Diao… in Cancer & Metabolism (2023)

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  3. No Access

    Article

    Phthalate Mixture Exposure is Associated with Elevated Blood Pressure in Chinese Children: A Panel Study

    There is unclearly epidemiological evidence regarding relations of phthalates (PAEs) with children’s blood pressure (BP) and its potential mechanism. We designed a panel study with up to 3 repeated visits over...

    Miao Liu, Lei Zhao, Linlin Liu, Wenting Guo, Huihua Yang, Meng Li… in Exposure and Health (2023)

  4. No Access

    Article

    Associations of urinary polycyclic aromatic hydrocarbon metabolites and blood pressure with the mediating role of cytokines: A panel study among children

    Little was known regarding the relations of polycyclic aromatic hydrocarbon (PAH) mixture with children’s blood pressure (BP) and its potential mechanism. We conducted a panel study with up to 3 visits across ...

    Miao Liu, Lei Zhao, Linlin Liu, Wenting Guo… in Environmental Science and Pollution Resear… (2022)

  5. No Access

    Chapter and Conference Paper

    Combining Self-training and Hybrid Architecture for Semi-supervised Abdominal Organ Segmentation

    Abdominal organ segmentation has many important clinical applications, such as organ quantification, surgical planning, and disease diagnosis. However, manually annotating organs from CT scans is time-consumin...

    Wentao Liu, Wei** Xu, Songlin Yan… in Fast and Low-Resource Semi-supervised Abdo… (2022)

  6. No Access

    Chapter and Conference Paper

    PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation

    The success of Transformer in computer vision has attracted increasing attention in the medical imaging community. Especially for medical image segmentation, many excellent hybrid architectures based on convol...

    Wentao Liu, Tong Tian, Wei** Xu… in Medical Image Computing and Computer Assis… (2022)

  7. No Access

    Article

    Region- and Pixel-Level Multi-Focus Image Fusion through Convolutional Neural Networks

    Capturing all-in-focus images with 3D scenes is typically a challenging task due to depth of field limitations, and various multi-focus image fusion methods have been employed to generate all-in-focus images. ...

    Wenyi Zhao, Huihua Yang, Jie Wang, **peng Pan… in Mobile Networks and Applications (2021)

  8. No Access

    Chapter

    CBCNet: A Deep Learning Approach to Urban Images Classification in Urban Computing

    Urban images classification is an import part of urban computing. It is a challenging task for object detection and classification of urban images due to the high complexity of image contents. i.e., an image m...

    Zhenbing Liu, Zeya Li, Lingqiao Li, Huihua Yang in Artificial Intelligence and Robotics (2021)

  9. No Access

    Article

    Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images

    Fine-grained classification and grading of breast cancer (BC) histopathological images are of great value in clinical application. However, automatic classification and grading of BC histopathological images a...

    Lingqiao Li, **peng Pan, Huihua Yang, Zhenbing Liu… in Multimedia Tools and Applications (2020)

  10. No Access

    Article

    Nuclear Response Analysis of TFC for CFETR-I Using an Optimized GVR Approach

    The nuclear analysis of the toroidal field coil (TFC) has been performed using China Fusion Engineering Test Reactor (CFETR)-I model of 33.75-degree torus sector with a pitched Neutral Beam Interface port. A n...

    Jia Li, Huihua Yang, Jiaduo Chen, Huabin Zhang, Rui Li in Journal of Fusion Energy (2020)

  11. No Access

    Chapter

    Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images

    The fine-grained classification or grading of breast cancer pathological images is of great value in clinical application. However, the manual feature extraction methods not only require professional knowledge...

    **peng Pan, Lingqiao Li, Huihua Yang… in Cognitive Internet of Things: Frameworks, … (2020)

  12. No Access

    Article

    Multi-Level Ensemble Network for Scene Recognition

    Scene recognition is an important branch of computer vision and a common task for deep learning. As is known to all, different scenes are supported by different “key objects”. Therefore, the neural network use...

    Longhao Zhang, Lingqiao Li, **peng Pan, Zhiwei Cao… in Multimedia Tools and Applications (2019)

  13. No Access

    Chapter and Conference Paper

    CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning

    Pseudouridine (ψ) is a kind of RNA modification, which is formed at specific site of RNA sequence due to the catalytic action of Pseudouridine synthase in the process of gene transcription. It is the most prev...

    Yongxian Fan, Yongzhen Li, Huihua Yang… in Intelligent Data Engineering and Automated… (2019)

  14. No Access

    Article

    T-test based Alzheimer’s disease diagnosis with multi-feature in MRIs

    Diagnosing Alzheimer’s disease (AD) with magnetic resonance imaging (MRI) has attracted increasing attention. In this paper, we propose a new feature selection method for AD diagnosis by selecting interested s...

    Zhenbing Liu, Tao Xu, Chao Ma, Chunyang Gao… in Multimedia Tools and Applications (2018)

  15. No Access

    Article

    Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks

    Automated nucleus/cell detection is usually considered as the basis and a critical prerequisite step of computer assisted pathology and microscopy image analysis. However, due to the enormous variability (cell...

    **peng Pan, Dengxian Yang, Lingqiao Li, Zhenbing Liu, Huihua Yang… in World Wide Web (2018)

  16. No Access

    Article

    Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance

    Collaborative representation has been successfully used in pattern recognition and machine learning. However, most existing collaborative representation classification methods are to achieve the highest classi...

    Zhenbing Liu, Chao Ma, Chunyang Gao, Huihua Yang… in Multimedia Tools and Applications (2018)

  17. No Access

    Chapter

    Leukemia Early Screening by Using NIR Spectroscopy and LAR-PLS Regression Model

    In this paper, a regression analysis method based on the combination of Least Angle Regression (LAR) and Partial Least Squares (PLS) is proposed, which uses the non-invasive characteristics of near infrared sp...

    Ying Qi, Zhenbing Liu, **peng Pan, Weidong Zhang… in Artificial Intelligence and Robotics (2018)

  18. No Access

    Chapter

    Cost-Sensitive Collaborative Representation Based Classification via Probability Estimation Addressing the Class Imbalance Problem

    Collaborative representation has been successfully used in pattern recognition and machine learning. However, most existing collaborative representation classification methods are to achieve the highest classi...

    Zhenbing Liu, Chao Ma, Chunyang Gao, Huihua Yang… in Artificial Intelligence and Robotics (2018)

  19. No Access

    Chapter

    Near Infrared Spectroscopy Drug Discrimination Method Based on Stacked Sparse Auto-Encoders Extreme Learning Machine

    This paper describes a method for drug discrimination with near infrared spectroscopy based on SSAE-ELM. ELM instead of the BP was introduced to fine-tuning SSAE, which can reduce the training time of SSAE and...

    Weidong Zhang, Zhenbing Liu, **quan Hu, **peng Pan… in Artificial Intelligence and Robotics (2018)