Хайлтын үр дүнгүүд - 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 -н Shaoting Zhang, Dimitris Metaxas

    Хэвлэсэн 2023
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    Artigo
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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 -н Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang

    Хэвлэсэн 2021
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    Artigo
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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 -н Ruogu Fang, Shaoting Zhang, Tsuhan Chen, Pina C. Sanelli

    Хэвлэсэн 2015
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    Artigo
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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 -н Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, Shaoting Zhang

    Хэвлэсэн 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 -н Rahil Mehrizi, Xi Peng, Dimitris Metaxas, Xu Xu, Shaoting Zhang, Kang Li

    Хэвлэсэн 2019
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    Artigo
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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 -н Yunhe Gao, Mu Zhou, Di Liu, Zhennan Yan, Shaoting Zhang, Dimitris Metaxas

    Хэвлэсэн 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 -н Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li

    Хэвлэсэн 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 -н Guotai Wang, Jianghao Wu, Xiangde Luo, Xinglong Liu, Kang Li, Shaoting Zhang

    Хэвлэсэн 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 -н Jingyang Zhang, Guotai Wang, Hongzhi Xie, Shuyang Zhang, Ning Huang, Shaoting Zhang, Lixu Gu

    Хэвлэсэн 2020
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    Artigo
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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 -н Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris Metaxas

    Хэвлэсэн 2024
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    Artigo
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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 -н Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris Metaxas, Shaoting Zhang

    Хэвлэсэн 2021
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    Artigo
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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 -н Xiaoxia Li, Dengqiang Lin, Ying Xiong, Weifeng Lin, Shaoting Zhang, Shunfa Huang, Jianjun Zhou, Chenchen Dai

    Хэвлэсэн 2025
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    Artigo
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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 -н Feng-ao Wang, Zhenfeng Zhuang, Feng Gao, Ruikun He, Shaoting Zhang, Liansheng Wang, Junwei Liu, Y Li

    Хэвлэсэн 2024
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    Artigo
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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 -н Ran Gu, Guotai Wang, Tao Song, Rui Huang, Michaël Aertsen, Jan Deprest, Sébastien Ourselin, Tom Vercauteren, Shaoting Zhang

    Хэвлэсэн 2020
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    Artigo
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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 -н Xiangde Luo, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Nianyong Chen, Guotai Wang, Shaoting Zhang

    Хэвлэсэн 2021
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    Capítulo de Livro
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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 -н Guotai Wang, Xiangde Luo, Ran Gu, Shuojue Yang, Yijie Qu, Shuwei Zhai, Qianfei Zhao, Kang Li, Shaoting Zhang

    Хэвлэсэн 2023
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    Artigo
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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 -н Weijian Huang, Cheng Li, Hong-Yu Zhou, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shaoting Zhang, Shanshan Wang

    Хэвлэсэн 2024
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    Artigo
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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 -н Guotai Wang, Xinglong Liu, Chaoping Li, Zhiyong Xu, Jiugen Ruan, Haifeng Zhu, Tao Meng, Kang Li, Ning Huang, Shaoting Zhang

    Хэвлэсэн 2020
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    Artigo
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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 -н Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris Metaxas, Guotai Wang, Shaoting Zhang

    Хэвлэсэн 2022
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    Artigo
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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) -н Xi Chen, Wang Li, Mingke You, Weizhi Liu, Yu Fu, Jie Xu, Shaoting Zhang, Gang Chen, Kang Li, Jian Li

    Хэвлэсэн 2024
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    Artigo
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