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  "author": "Ilkin Islera",
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    {
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    {
            
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      "extra_author": "Curtis Lislea",
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    },
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    {
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      "extra_author": "Justin Rineerc",
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    {
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      "extra_author": "Patrick Kellyc",
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    },
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    },
            
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    {
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      "extra_author": "Damla Turguta",
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      "extra_author": "Damla Turguta",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Jacob Riccic",
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      "extra_author": "Jacob Riccic",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Ulas Bagcia",
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      "extra_author": "Ulas Bagcia",
            
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      "name": "radiation-oncology",
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      "name": "radiation-oncology",
            
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      "title": "Radiation Oncology"
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      "title": "Radiation Oncology"
            
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  "name": "nsclc-radiomics",
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  "name": "nsclc-radiomics",
            
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  "notes": "The dataset used for testing and validation of the 
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  "notes": "The dataset used for testing and validation of the 
            
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proposed Monte Carlo Transformer-based U-Net (MC-Swin-U) architecture 
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proposed Monte Carlo Transformer-based U-Net (MC-Swin-U) architecture 
            
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for tumor and OAR segmentation in radiation oncology settings.",
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for tumor and OAR segmentation in radiation oncology settings.",
            
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  "title": "NSCLC-Radiomics",
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  "version": ""
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  "version": ""
            
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}
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}