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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Chen Wei",
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  "author": "Chen Wei",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2208.04616",
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  "defined_in": "https://doi.org/10.48550/arXiv.2208.04616",
            
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  "doi": "10.57702/tgzceeph",
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  "doi": "10.57702/tgzceeph",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Shenghan Ren",
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      "extra_author": "Shenghan Ren",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Kaitai Guo",
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      "extra_author": "Kaitai Guo",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Haihong Hu",
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      "extra_author": "Haihong Hu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jimin Liang",
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      "extra_author": "Jimin Liang",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "name": "brain-tumor-segmentation",
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      "name": "brain-tumor-segmentation",
            
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      "title": "Brain Tumor Segmentation"
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      "title": "Brain Tumor Segmentation"
            
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      "title": "Medical Image Analysis"
            
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      "name": "medical-image-segmentation",
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      "name": "medical-image-segmentation",
            
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      "title": "Medical Image Segmentation"
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      "title": "Medical Image Segmentation"
            
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  "name": "brats-2021",
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  "name": "brats-2021",
            
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  "notes": "Multi-parametric MRI scans from 2000 patients were used 
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  "notes": "Multi-parametric MRI scans from 2000 patients were used 
            
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for BraTS2021, 1251 of which were provided with segmentation labels to 
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for BraTS2021, 1251 of which were provided with segmentation labels to 
            
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the participants for developing their algorithms, 219 of which were 
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the participants for developing their algorithms, 219 of which were 
            
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used for the public leaderboard during the validation phase, and the 
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used for the public leaderboard during the validation phase, and the 
            
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remaining 530 cases were intended for the private leaderboard and the 
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remaining 530 cases were intended for the private leaderboard and the 
            
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final ranking of the participants.",
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final ranking of the participants.",
            
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}