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On December 2, 2024 at 10:35:10 PM UTC, admin:
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Changed value of field
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in Physics-guided Diffusion Model for Diffusion MRI Synthesis -
Changed value of field
doi_date_published
to2024-12-02
in Physics-guided Diffusion Model for Diffusion MRI Synthesis -
Added resource Original Metadata to Physics-guided Diffusion Model for Diffusion MRI Synthesis
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3 | "author": "Juanhua Zhang", | 3 | "author": "Juanhua Zhang", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
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n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-02", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
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13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Ruodan Yan", | 15 | "extra_author": "Ruodan Yan", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Alessandro Perelli", | 19 | "extra_author": "Alessandro Perelli", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | }, | 21 | }, | ||
22 | { | 22 | { | ||
23 | "extra_author": "Xi Chen", | 23 | "extra_author": "Xi Chen", | ||
24 | "orcid": "" | 24 | "orcid": "" | ||
25 | }, | 25 | }, | ||
26 | { | 26 | { | ||
27 | "extra_author": "Chao Li", | 27 | "extra_author": "Chao Li", | ||
28 | "orcid": "" | 28 | "orcid": "" | ||
29 | } | 29 | } | ||
30 | ], | 30 | ], | ||
31 | "groups": [ | 31 | "groups": [ | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Diffusion MRI", | 34 | "display_name": "Diffusion MRI", | ||
35 | "id": "c3d5a544-92aa-4d45-9a8e-dfa8d89c1795", | 35 | "id": "c3d5a544-92aa-4d45-9a8e-dfa8d89c1795", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "diffusion-mri", | 37 | "name": "diffusion-mri", | ||
38 | "title": "Diffusion MRI" | 38 | "title": "Diffusion MRI" | ||
39 | }, | 39 | }, | ||
40 | { | 40 | { | ||
41 | "description": "", | 41 | "description": "", | ||
42 | "display_name": "Image Synthesis", | 42 | "display_name": "Image Synthesis", | ||
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44 | "image_display_url": "", | 44 | "image_display_url": "", | ||
45 | "name": "image-synthesis", | 45 | "name": "image-synthesis", | ||
46 | "title": "Image Synthesis" | 46 | "title": "Image Synthesis" | ||
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52 | "license_title": null, | 52 | "license_title": null, | ||
53 | "link_orkg": "", | 53 | "link_orkg": "", | ||
54 | "metadata_created": "2024-12-02T22:35:08.632053", | 54 | "metadata_created": "2024-12-02T22:35:08.632053", | ||
n | 55 | "metadata_modified": "2024-12-02T22:35:08.632059", | n | 55 | "metadata_modified": "2024-12-02T22:35:09.414807", |
56 | "name": | 56 | "name": | ||
57 | "physics-guided-diffusion-model-for-diffusion-mri-synthesis", | 57 | "physics-guided-diffusion-model-for-diffusion-mri-synthesis", | ||
58 | "notes": "Diffusion MRI (dMRI) is an essential neuroimaging | 58 | "notes": "Diffusion MRI (dMRI) is an essential neuroimaging | ||
59 | technique with high acquisition costs. Deep learning approaches have | 59 | technique with high acquisition costs. Deep learning approaches have | ||
60 | been used to enhance dMRI and predict diffusion biomarkers through | 60 | been used to enhance dMRI and predict diffusion biomarkers through | ||
61 | undersampled dMRI. To generate more comprehensive raw dMRI, generative | 61 | undersampled dMRI. To generate more comprehensive raw dMRI, generative | ||
62 | adversarial network based methods are proposed to include b-values and | 62 | adversarial network based methods are proposed to include b-values and | ||
63 | b-vectors as conditions, but they are limited by unstable training and | 63 | b-vectors as conditions, but they are limited by unstable training and | ||
64 | less desirable diversity. The emerging diffusion model (DM) promises | 64 | less desirable diversity. The emerging diffusion model (DM) promises | ||
65 | to improve generative performance. However, it remains challenging to | 65 | to improve generative performance. However, it remains challenging to | ||
66 | include essential information in conditioning DM for more relevant | 66 | include essential information in conditioning DM for more relevant | ||
67 | generation, i.e., the physical principles of dMRI and white matter | 67 | generation, i.e., the physical principles of dMRI and white matter | ||
68 | tract structures. In this study, we propose a physics-guided diffusion | 68 | tract structures. In this study, we propose a physics-guided diffusion | ||
69 | model to generate high-quality dMRI.", | 69 | model to generate high-quality dMRI.", | ||
n | 70 | "num_resources": 0, | n | 70 | "num_resources": 1, |
71 | "num_tags": 4, | 71 | "num_tags": 4, | ||
72 | "organization": { | 72 | "organization": { | ||
73 | "approval_status": "approved", | 73 | "approval_status": "approved", | ||
74 | "created": "2024-11-25T12:11:38.292601", | 74 | "created": "2024-11-25T12:11:38.292601", | ||
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80 | "state": "active", | 80 | "state": "active", | ||
81 | "title": "No Organization", | 81 | "title": "No Organization", | ||
82 | "type": "organization" | 82 | "type": "organization" | ||
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87 | "relationships_as_subject": [], | 87 | "relationships_as_subject": [], | ||
t | 88 | "resources": [], | t | 88 | "resources": [ |
89 | { | ||||
90 | "cache_last_updated": null, | ||||
91 | "cache_url": null, | ||||
92 | "created": "2024-12-02T22:29:38", | ||||
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94 | "dcterms:title", | ||||
95 | "dcterms:accessRights", | ||||
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106 | "dcterms:format", | ||||
107 | "mls:task" | ||||
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109 | "description": "The json representation of the dataset with its | ||||
110 | distributions based on DCAT.", | ||||
111 | "format": "JSON", | ||||
112 | "hash": "", | ||||
113 | "id": "0b8b87dd-d966-46c6-8b50-309f7ecb31df", | ||||
114 | "last_modified": "2024-12-02T22:35:09.407084", | ||||
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116 | "mimetype": "application/json", | ||||
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118 | "name": "Original Metadata", | ||||
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90 | "state": "active", | 130 | "state": "active", | ||
91 | "tags": [ | 131 | "tags": [ | ||
92 | { | 132 | { | ||
93 | "display_name": "Diffusion MRI", | 133 | "display_name": "Diffusion MRI", | ||
94 | "id": "b67b08ed-c460-4db4-8d51-98162a605cda", | 134 | "id": "b67b08ed-c460-4db4-8d51-98162a605cda", | ||
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98 | }, | 138 | }, | ||
99 | { | 139 | { | ||
100 | "display_name": "Diffusion Model", | 140 | "display_name": "Diffusion Model", | ||
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103 | "state": "active", | 143 | "state": "active", | ||
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105 | }, | 145 | }, | ||
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111 | "vocabulary_id": null | 151 | "vocabulary_id": null | ||
112 | }, | 152 | }, | ||
113 | { | 153 | { | ||
114 | "display_name": "Physics-guided", | 154 | "display_name": "Physics-guided", | ||
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119 | } | 159 | } | ||
120 | ], | 160 | ], | ||
121 | "title": "Physics-guided Diffusion Model for Diffusion MRI | 161 | "title": "Physics-guided Diffusion Model for Diffusion MRI | ||
122 | Synthesis", | 162 | Synthesis", | ||
123 | "type": "dataset", | 163 | "type": "dataset", | ||
124 | "version": "" | 164 | "version": "" | ||
125 | } | 165 | } |