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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Jingyang Lin",
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  "author": "Jingyang Lin",
            
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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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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2404.15272",
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  "defined_in": "https://doi.org/10.48550/arXiv.2404.15272",
            
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  "doi": "10.57702/s8xnnmwe",
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  "doi": "10.57702/s8xnnmwe",
            
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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": "Yingda Xia",
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      "extra_author": "Yingda Xia",
            
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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": "Jianpeng Zhang",
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      "extra_author": "Jianpeng Zhang",
            
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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": "Ke Yan",
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      "extra_author": "Ke 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": "Le Lu",
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      "extra_author": "Le Lu",
            
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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": "Jiebo Luo",
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      "extra_author": "Jiebo Luo",
            
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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": "Ling Zhang",
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      "extra_author": "Ling Zhang",
            
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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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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Medical Imaging",
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      "display_name": "Medical Imaging",
            
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      "id": "b86e8f52-a230-44ce-b290-7823c9f6a877",
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      "image_display_url": "",
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      "image_display_url": "",
            
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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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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Vision-Language Pretraining",
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      "display_name": "Vision-Language Pretraining",
            
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      "id": "c94f4691-d4a2-45e1-bc04-4344bf4a0665",
            
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      "image_display_url": "",
            
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      "name": "vision-language-pretraining",
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      "name": "vision-language-pretraining",
            
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      "title": "Vision-Language Pretraining"
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      "title": "Vision-Language Pretraining"
            
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    }
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    }
            
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  ],
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  ],
            
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  "id": "b36b0176-feaf-4e96-be03-def66f000b13",
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  "metadata_created": "2024-12-03T07:50:48.491079",
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  "metadata_created": "2024-12-03T07:50:48.491079",
            
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  "metadata_modified": "2024-12-03T07:50:49.184102",
            
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  "name": 
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  "name": 
            
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"ct-glip--3d-grounded-language-image-pretraining-with-ct-scans",
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"ct-glip--3d-grounded-language-image-pretraining-with-ct-scans",
            
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  "notes": "Medical Vision-Language Pretraining (Med-VLP) establishes 
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  "notes": "Medical Vision-Language Pretraining (Med-VLP) establishes 
            
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a connection between visual content from medical images and the 
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a connection between visual content from medical images and the 
            
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relevant textual descriptions. Existing Med-VLP methods primarily 
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relevant textual descriptions. Existing Med-VLP methods primarily 
            
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focus on 2D images depicting a single body part, notably chest X-rays. 
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focus on 2D images depicting a single body part, notably chest X-rays. 
            
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In this paper, we extend the scope of Med-VLP to encompass 3D images, 
70
In this paper, we extend the scope of Med-VLP to encompass 3D images, 
            
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specifically targeting full-body scenarios, by using a multimodal 
71
specifically targeting full-body scenarios, by using a multimodal 
            
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dataset of CT images and reports.",
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dataset of CT images and reports.",
            
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      "created": "2024-12-03T08:34:31",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "45147a80-2388-4ca7-8f99-76fb5f4a372d",
            
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  "tags": [
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  "tags": [
            
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    {
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    {
            
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      "display_name": "CT scans",
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      "display_name": "CT scans",
            
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      "id": "c9a7a2fa-09f0-4ac3-952e-72a465e448fa",
            
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      "name": "CT scans",
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      "name": "CT scans",
            
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      "state": "active",
            
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    },
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    {
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    {
            
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      "display_name": "Medical images",
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      "display_name": "Medical images",
            
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      "name": "Medical images",
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      "name": "Medical images",
            
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    },
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    },
            
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    {
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      "display_name": "Radiology reports",
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      "display_name": "Radiology reports",
            
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      "id": "19b0c11f-ee6b-4f05-8173-28edadcdf26a",
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      "id": "19b0c11f-ee6b-4f05-8173-28edadcdf26a",
            
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      "name": "Radiology reports",
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      "name": "Radiology reports",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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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      "display_name": "Text descriptions",
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      "display_name": "Text descriptions",
            
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      "id": "ee95033b-d129-499b-94ae-5a94a032e863",
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      "id": "ee95033b-d129-499b-94ae-5a94a032e863",
            
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      "name": "Text descriptions",
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      "name": "Text descriptions",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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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": "CT-GLIP: 3D Grounded Language-Image Pretraining with CT 
165
  "title": "CT-GLIP: 3D Grounded Language-Image Pretraining with CT 
            
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Scans",
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Scans",
            
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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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}