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  "access_rights": "",
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  "author": "Ariel H. Curiale",
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  "author": "Ariel H. Curiale",
            
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  "author_email": "",
            
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  "doi": "10.57702/dff0u1fi",
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  "doi": "10.57702/dff0u1fi",
            
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  "doi_date_published": "2024-12-16",
            
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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": "Facundo Cabrera",
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      "extra_author": "Facundo Cabrera",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Pablo Jimenez",
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      "extra_author": "Pablo Jimenez",
            
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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": "Jorgelina Medus",
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      "extra_author": "Jorgelina Medus",
            
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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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      "extra_author": "German Mato",
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      "extra_author": "German Mato",
            
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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": "Matias E. Calandrelli",
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      "extra_author": "Matias E. Calandrelli",
            
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      "orcid": ""
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      "name": "cardiovascular-imaging",
            
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      "title": "Cardiovascular Imaging"
            
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  "name": 
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  "name": 
            
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e-magnetic-resonance-images-using-artificial-intelligence-techniques",
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e-magnetic-resonance-images-using-artificial-intelligence-techniques",
            
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  "notes": "The dataset used in this study is a retrospective 
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  "notes": "The dataset used in this study is a retrospective 
            
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observational study of 75 subjects with various diseases, including 
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observational study of 75 subjects with various diseases, including 
            
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acute myocardial infarction, left ventricular hypertrophy, 
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acute myocardial infarction, left ventricular hypertrophy, 
            
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hypertrophic cardiomyopathy, dilated left ventricle, and those with a 
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hypertrophic cardiomyopathy, dilated left ventricle, and those with a 
            
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normal diagnosis.",
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normal diagnosis.",
            
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distributions based on DCAT.",
            
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      "display_name": "Fibrosis",
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      "display_name": "Fibrosis",
            
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      "id": "ac149813-56a8-4131-b018-58e040f2da29",
            
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      "name": "Fibrosis",
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      "name": "Fibrosis",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "display_name": "Myocardial Lesions",
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      "display_name": "Myocardial Lesions",
            
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      "id": "57136074-97e0-4d93-be43-f93632a0208b",
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      "id": "57136074-97e0-4d93-be43-f93632a0208b",
            
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      "name": "Myocardial Lesions",
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      "name": "Myocardial Lesions",
            
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "Detection of Fibrosis in Cine Magnetic Resonance Images 
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  "title": "Detection of Fibrosis in Cine Magnetic Resonance Images 
            
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Using Artificial Intelligence Techniques",
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Using Artificial Intelligence Techniques",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}