Rezultati - Shaoting Zhang

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  1. 1
    On the challenges and perspectives of foundation models for medical image analysis

    On the challenges and perspectives of foundation models for medical image analysis od Shaoting Zhang, Dimitris Metaxas

    Izdano 2023
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  2. 2
    Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction

    Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction od Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang

    Izdano 2021
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  3. 3
    Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization

    Robust Low-Dose CT Perfusion Deconvolution via Tensor Total-Variation Regularization od Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli

    Izdano 2015
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  4. 4
    Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer

    Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer od Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang

    Izdano 2021
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  5. 5
    Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach

    Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach od Rahil Mehrizi, Xi Peng, Dimitris Metaxas, Xu Xu, Shaoting Zhang, Kang Li

    Izdano 2019
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  6. 6
    A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark

    A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark od Yunhe Gao, Mu Zhou, Di Liu, Zhennan Yan, Shaoting Zhang, Dimitris Metaxas

    Izdano 2022
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  7. 7
    SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

    SAM on Medical Images: A Comprehensive Study on Three Prompt Modes od Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li

    Izdano 2023
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  8. 8
    MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset

    MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset od Guotai Wang, Jianghao Wu, Xiangde Luo, Xinglong Liu, Kang Li, Shaoting Zhang

    Izdano 2023
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  9. 9
    Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation

    Weakly supervised vessel segmentation in X-ray angiograms by self-paced learning from noisy labels with suggestive annotation od Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu

    Izdano 2020
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  10. 10
    Classification of lung cancer subtypes on CT images with synthetic pathological priors

    Classification of lung cancer subtypes on CT images with synthetic pathological priors od Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris Metaxas

    Izdano 2024
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  11. 11
    SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching

    SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching od Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris Metaxas, Shaoting Zhang

    Izdano 2021
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  12. 12
    Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma

    Node-RADS category on preoperative CT predicts prognosis in patients with papillary renal cell carcinoma od Xiaoxia Li, Dengqiang Lin, Ying Xiong, Weifeng Lin, Shaoting Zhang, Shunfa Huang, Jianjun Zhou, Chenchen Dai

    Izdano 2025
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  13. 13
    TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology

    TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology od Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, Ruikun He, Shaoting Zhang, Liansheng Wang, Junwei Liu, Y Li

    Izdano 2024
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  14. 14
    CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

    CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation od Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michaël Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang

    Izdano 2020
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  15. 15
    Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

    Efficient Semi-supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency od Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang

    Izdano 2021
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  16. 16
    PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

    PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation od Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang

    Izdano 2023
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  17. 17
    Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning

    Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning od Weijian Huang, Cheng Li, Hong-Yu Zhou, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shaoting Zhang, Shanshan Wang

    Izdano 2024
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  18. 18
    A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images

    A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images od Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang

    Izdano 2020
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  19. 19
    WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

    WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image od Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris Metaxas, Guotai Wang, Shaoting Zhang

    Izdano 2022
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  20. 20
    Evaluating and Enhancing Large Language Models’ Performance in Domain-specific Medicine: Explainable LLM with DocOA (Preprint)

    Evaluating and Enhancing Large Language Models’ Performance in Domain-specific Medicine: Explainable LLM with DocOA (Preprint) od Xi Chen, Wang Li, Mingke You, Weizhi Liu, Yu Fu, Jie Xu, Shaoting Zhang, Gang Chen, Kang Li, Jian Li

    Izdano 2024
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