Changes
On December 2, 2024 at 11:46:35 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in FairDiff: Fair Segmentation with Point-Image Diffusion -
Changed value of field
doi_date_published
to2024-12-02
in FairDiff: Fair Segmentation with Point-Image Diffusion -
Added resource Original Metadata to FairDiff: Fair Segmentation with Point-Image Diffusion
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Wenyi Li", | 3 | "author": "Wenyi Li", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.48550/arXiv.2407.06250", | 7 | "defined_in": "https://doi.org/10.48550/arXiv.2407.06250", | ||
8 | "doi": "10.57702/2rl1j0nq", | 8 | "doi": "10.57702/2rl1j0nq", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Haoran Xu", | 15 | "extra_author": "Haoran Xu", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Guiyu Zhang", | 19 | "extra_author": "Guiyu Zhang", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Huan-ang Gao", | 23 | "extra_author": "Huan-ang Gao", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Mingju Gao", | 27 | "extra_author": "Mingju Gao", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | }, | 29 | }, | ||
30 | { | 30 | { | ||
31 | "extra_author": "Mengyu Wang", | 31 | "extra_author": "Mengyu Wang", | ||
32 | "orcid": "" | 32 | "orcid": "" | ||
33 | }, | 33 | }, | ||
34 | { | 34 | { | ||
35 | "extra_author": "Hao Zhao", | 35 | "extra_author": "Hao Zhao", | ||
36 | "orcid": "" | 36 | "orcid": "" | ||
37 | } | 37 | } | ||
38 | ], | 38 | ], | ||
39 | "groups": [ | 39 | "groups": [ | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Fairness in AI", | 42 | "display_name": "Fairness in AI", | ||
43 | "id": "b5336f7c-d119-4850-8ef4-7ea4b730aa73", | 43 | "id": "b5336f7c-d119-4850-8ef4-7ea4b730aa73", | ||
44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "fairness-in-ai", | 45 | "name": "fairness-in-ai", | ||
46 | "title": "Fairness in AI" | 46 | "title": "Fairness in AI" | ||
47 | }, | 47 | }, | ||
48 | { | 48 | { | ||
49 | "description": "", | 49 | "description": "", | ||
50 | "display_name": "Medical Image Analysis", | 50 | "display_name": "Medical Image Analysis", | ||
51 | "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438", | 51 | "id": "2f8bf60c-dbda-4650-b6f0-ee38a7549438", | ||
52 | "image_display_url": "", | 52 | "image_display_url": "", | ||
53 | "name": "medical-image-analysis", | 53 | "name": "medical-image-analysis", | ||
54 | "title": "Medical Image Analysis" | 54 | "title": "Medical Image Analysis" | ||
55 | } | 55 | } | ||
56 | ], | 56 | ], | ||
57 | "id": "bc91bb9a-3afe-4a4b-8de2-78d734a1e121", | 57 | "id": "bc91bb9a-3afe-4a4b-8de2-78d734a1e121", | ||
58 | "isopen": false, | 58 | "isopen": false, | ||
59 | "landing_page": "https://github.com/wenyi-li/FairDiff", | 59 | "landing_page": "https://github.com/wenyi-li/FairDiff", | ||
60 | "license_title": null, | 60 | "license_title": null, | ||
61 | "link_orkg": "", | 61 | "link_orkg": "", | ||
62 | "metadata_created": "2024-12-02T23:46:33.817528", | 62 | "metadata_created": "2024-12-02T23:46:33.817528", | ||
n | 63 | "metadata_modified": "2024-12-02T23:46:33.817534", | n | 63 | "metadata_modified": "2024-12-02T23:46:34.355614", |
64 | "name": "fairdiff--fair-segmentation-with-point-image-diffusion", | 64 | "name": "fairdiff--fair-segmentation-with-point-image-diffusion", | ||
65 | "notes": "Fairness is an important topic for medical image analysis, | 65 | "notes": "Fairness is an important topic for medical image analysis, | ||
66 | driven by the challenge of unbalanced training data among diverse | 66 | driven by the challenge of unbalanced training data among diverse | ||
67 | target groups and the societal demand for equitable medical quality.", | 67 | target groups and the societal demand for equitable medical quality.", | ||
n | 68 | "num_resources": 0, | n | 68 | "num_resources": 1, |
69 | "num_tags": 3, | 69 | "num_tags": 3, | ||
70 | "organization": { | 70 | "organization": { | ||
71 | "approval_status": "approved", | 71 | "approval_status": "approved", | ||
72 | "created": "2024-11-25T12:11:38.292601", | 72 | "created": "2024-11-25T12:11:38.292601", | ||
73 | "description": "", | 73 | "description": "", | ||
74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 74 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
75 | "image_url": "", | 75 | "image_url": "", | ||
76 | "is_organization": true, | 76 | "is_organization": true, | ||
77 | "name": "no-organization", | 77 | "name": "no-organization", | ||
78 | "state": "active", | 78 | "state": "active", | ||
79 | "title": "No Organization", | 79 | "title": "No Organization", | ||
80 | "type": "organization" | 80 | "type": "organization" | ||
81 | }, | 81 | }, | ||
82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 82 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
83 | "private": false, | 83 | "private": false, | ||
84 | "relationships_as_object": [], | 84 | "relationships_as_object": [], | ||
85 | "relationships_as_subject": [], | 85 | "relationships_as_subject": [], | ||
t | 86 | "resources": [], | t | 86 | "resources": [ |
87 | { | ||||
88 | "cache_last_updated": null, | ||||
89 | "cache_url": null, | ||||
90 | "created": "2024-12-03T00:20:35", | ||||
91 | "data": [ | ||||
92 | "dcterms:title", | ||||
93 | "dcterms:accessRights", | ||||
94 | "dcterms:creator", | ||||
95 | "dcterms:description", | ||||
96 | "dcterms:issued", | ||||
97 | "dcterms:language", | ||||
98 | "dcterms:identifier", | ||||
99 | "dcat:theme", | ||||
100 | "dcterms:type", | ||||
101 | "dcat:keyword", | ||||
102 | "dcat:landingPage", | ||||
103 | "dcterms:hasVersion", | ||||
104 | "dcterms:format", | ||||
105 | "mls:task", | ||||
106 | "datacite:isDescribedBy" | ||||
107 | ], | ||||
108 | "description": "The json representation of the dataset with its | ||||
109 | distributions based on DCAT.", | ||||
110 | "format": "JSON", | ||||
111 | "hash": "", | ||||
112 | "id": "1a828596-9cdc-4f58-8377-3ad1705e773f", | ||||
113 | "last_modified": "2024-12-02T23:46:34.347928", | ||||
114 | "metadata_modified": "2024-12-02T23:46:34.358457", | ||||
115 | "mimetype": "application/json", | ||||
116 | "mimetype_inner": null, | ||||
117 | "name": "Original Metadata", | ||||
118 | "package_id": "bc91bb9a-3afe-4a4b-8de2-78d734a1e121", | ||||
119 | "position": 0, | ||||
120 | "resource_type": null, | ||||
121 | "size": 986, | ||||
122 | "state": "active", | ||||
123 | "url": | ||||
124 | resource/1a828596-9cdc-4f58-8377-3ad1705e773f/download/metadata.json", | ||||
125 | "url_type": "upload" | ||||
126 | } | ||||
127 | ], | ||||
87 | "services_used_list": "", | 128 | "services_used_list": "", | ||
88 | "state": "active", | 129 | "state": "active", | ||
89 | "tags": [ | 130 | "tags": [ | ||
90 | { | 131 | { | ||
91 | "display_name": "Fairness in AI", | 132 | "display_name": "Fairness in AI", | ||
92 | "id": "6e6d4e1a-1a3a-40b4-98f8-b5f5f4ba8d61", | 133 | "id": "6e6d4e1a-1a3a-40b4-98f8-b5f5f4ba8d61", | ||
93 | "name": "Fairness in AI", | 134 | "name": "Fairness in AI", | ||
94 | "state": "active", | 135 | "state": "active", | ||
95 | "vocabulary_id": null | 136 | "vocabulary_id": null | ||
96 | }, | 137 | }, | ||
97 | { | 138 | { | ||
98 | "display_name": "Medical Image Synthesis", | 139 | "display_name": "Medical Image Synthesis", | ||
99 | "id": "c24cfbca-dfc9-402a-a2fa-d05819adc20d", | 140 | "id": "c24cfbca-dfc9-402a-a2fa-d05819adc20d", | ||
100 | "name": "Medical Image Synthesis", | 141 | "name": "Medical Image Synthesis", | ||
101 | "state": "active", | 142 | "state": "active", | ||
102 | "vocabulary_id": null | 143 | "vocabulary_id": null | ||
103 | }, | 144 | }, | ||
104 | { | 145 | { | ||
105 | "display_name": "Point-Image Diffusion", | 146 | "display_name": "Point-Image Diffusion", | ||
106 | "id": "c0ad9e80-c3d6-402d-a573-c02a7540746d", | 147 | "id": "c0ad9e80-c3d6-402d-a573-c02a7540746d", | ||
107 | "name": "Point-Image Diffusion", | 148 | "name": "Point-Image Diffusion", | ||
108 | "state": "active", | 149 | "state": "active", | ||
109 | "vocabulary_id": null | 150 | "vocabulary_id": null | ||
110 | } | 151 | } | ||
111 | ], | 152 | ], | ||
112 | "title": "FairDiff: Fair Segmentation with Point-Image Diffusion", | 153 | "title": "FairDiff: Fair Segmentation with Point-Image Diffusion", | ||
113 | "type": "dataset", | 154 | "type": "dataset", | ||
114 | "version": "" | 155 | "version": "" | ||
115 | } | 156 | } |