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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Gongshu Wang",
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  "author": "Gongshu Wang",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.02148",
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  "defined_in": "https://doi.org/10.48550/arXiv.2103.02148",
            
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  "doi": "10.57702/x0abgk1y",
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  "doi": "10.57702/x0abgk1y",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Ning Jiang",
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      "extra_author": "Ning Jiang",
            
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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": "Yunxiao Ma",
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      "extra_author": "Yunxiao Ma",
            
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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": "Tiantian Liu",
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      "extra_author": "Tiantian Liu",
            
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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": "Duanduan Chen",
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      "extra_author": "Duanduan Chen",
            
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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": "Jinglong Wu",
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      "extra_author": "Jinglong Wu",
            
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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": "Guoqi Li",
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      "extra_author": "Guoqi Li",
            
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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": "Dong Liang",
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      "extra_author": "Dong Liang",
            
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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": "Tianyi Yan",
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      "extra_author": "Tianyi 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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      "description": "",
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      "display_name": "Brain MRI",
            
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      "name": "brain-mri",
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      "name": "brain-mri",
            
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      "title": "Brain MRI"
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      "title": "Brain MRI"
            
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      "name": "medical-imaging",
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      "name": "medical-imaging",
            
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      "title": "Medical Imaging"
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      "title": "Medical Imaging"
            
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      "description": "",
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      "image_display_url": "",
            
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      "name": "neuroimaging",
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      "name": "neuroimaging",
            
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      "title": "Neuroimaging"
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      "title": "Neuroimaging"
            
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    }
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  "isopen": false,
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  "isopen": false,
            
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  "landing_page": "https://brain-development.org/ixi-dataset",
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  "landing_page": "https://brain-development.org/ixi-dataset",
            
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  "license_title": null,
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  "metadata_modified": "2024-12-03T09:36:53.295973",
            
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  "name": "ixi",
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  "name": "ixi",
            
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  "notes": "Fast and accurate reconstruction of magnetic resonance 
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  "notes": "Fast and accurate reconstruction of magnetic resonance 
            
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(MR) images from under-sampled data is important in many clinical 
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(MR) images from under-sampled data is important in many clinical 
            
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applications. In recent years, deep learning-based methods have been 
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applications. In recent years, deep learning-based methods have been 
            
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shown to produce superior performance on MR image reconstruction. 
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shown to produce superior performance on MR image reconstruction. 
            
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However, these methods require large amounts of data which is 
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However, these methods require large amounts of data which is 
            
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difficult to collect and share due to the high cost of acquisition and 
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difficult to collect and share due to the high cost of acquisition and 
            
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medical data privacy regulations.",
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medical data privacy regulations.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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      "name": "Medical Imaging",
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      "name": "Neuroimaging",
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      "name": "Neuroimaging",
            
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    },
            
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    {
            
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      "display_name": "Under-sampled Data",
            
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    }
            
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  ],
            
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  "title": "IXI",
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  "title": "IXI",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}