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  "access_rights": "",
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  "author": "Kun Han",
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  "author": "Kun Han",
            
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  "author_email": "",
            
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2304.04106",
            
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  "doi": "10.57702/5u6244j7",
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  "doi": "10.57702/5u6244j7",
            
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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": "Yifeng Xiong",
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      "extra_author": "Yifeng Xiong",
            
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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": "Chenyu You",
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      "extra_author": "Chenyu You",
            
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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": "Pooya Khosravi",
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      "extra_author": "Pooya Khosravi",
            
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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": "Shanlin sun",
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      "extra_author": "Shanlin sun",
            
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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": "Xiangyi Yan",
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      "extra_author": "Xiangyi Yan",
            
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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": "James Duncan",
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      "extra_author": "James Duncan",
            
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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": "Xiaohui Xie",
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      "extra_author": "Xiaohui Xie",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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      "name": "medical-image-segmentation",
            
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      "title": "Medical Image Segmentation"
            
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  "name": 
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  "name": 
            
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-a-deep-generative-framework-for-paired-3d-image-and-mask-generation",
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-a-deep-generative-framework-for-paired-3d-image-and-mask-generation",
            
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  "notes": "Acquiring and annotating sufficient labeled data is 
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  "notes": "Acquiring and annotating sufficient labeled data is 
            
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crucial in developing accurate and robust learning-based models, but 
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crucial in developing accurate and robust learning-based models, but 
            
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obtaining such data can be challenging in many medical image 
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obtaining such data can be challenging in many medical image 
            
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segmentation tasks. One promising solution is to synthesize realistic 
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segmentation tasks. One promising solution is to synthesize realistic 
            
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data with ground-truth mask annotations.",
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data with ground-truth mask annotations.",
            
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  "tags": [
            
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      "display_name": "3D Medical Images",
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      "display_name": "3D Medical Images",
            
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    }
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  ],
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  "title": "MedGen3D: A Deep Generative Framework for Paired 3D Image 
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  "title": "MedGen3D: A Deep Generative Framework for Paired 3D Image 
            
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and Mask Generation",
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and Mask Generation",
            
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  "type": "dataset",
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  "version": ""
            
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}
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}