2024-04-18 16:03 |
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2024-04-12 10:18 |
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2024-04-12 09:07 |
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2024-04-11 15:41 |
[DZNE-2024-00389]
Contribution to a conference proceedings
Campbell, A. ; Spasov, S. ; Toschi, N. ; et al
DBGDGM: Dynamic Brain Graph Deep Generative Model
2024Medical Imaging with Deep Learning, MIDL 2023, Nashville, Tenn.Nashville, Tenn., USA, 10 Jul 2023 - 12 Jul 20232023-07-102023-07-12
227, 1346 - 1371 (2024)2024
Graphs are a natural representation of brain activity derived from functional magnetic imaging (fMRI) data. It is well known that clusters of anatomical brain regions, known as functional connectivity networks (FCNs), encode temporal relationships which can serve as useful biomarkers for understanding brain function and dysfunction. [...]
Restricted: PDF PDF (PDFA);
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2024-04-11 12:21 |
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2024-04-11 12:19 |
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2024-04-02 14:20 |
[DZNE-2024-00331]
Contribution to a conference proceedings/Contribution to a book
Maier, A. ; Deserno, T. M. ; Handels, H. ; et al
Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles
2024Bildverarbeitung für die Medizin 2024 / Maier, Andreas (Editor) [https://orcid.org/0000-0002-9550-5284] ; Wiesbaden : Springer Fachmedien Wiesbaden, 2024, Chapter 43 ; ISSN: 1431-472X=2628-8958 ; ISBN: 978-3-658-44036-7=978-3-658-44037-4 ; doi:10.1007/978-3-658-44037-4 German Conference on Medical Image Computing, ErlangenErlangen, Germany, 10 Mar 2024 - 12 Mar 20242024-03-102024-03-12
Wiesbaden : Springer Fachmedien Wiesbaden, Informatik aktuell 149 - 154 (2024) [10.1007/978-3-658-44037-4_43]2024
Alzheimer’s disease (AD) accounts for more than two-thirds of all dementia cases. Existing MRI volumetry tools summarize pathology found within brain MRI scans. [...]
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2024-01-22 13:51 |
[DZNE-2024-00089]
Contribution to a conference proceedings/Contribution to a book
Betz, P. K. ; Stoll, J. ; Grappendorf, V. ; et al
ESID: Exploring the Design and Development of a Visual Analytics Tool for Epidemiological Emergencies
20232023 IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes) : [Proceedings] - IEEE, 2023. - ISBN 979-8-3503-3026-7 - doi:10.1109/Vis4PandEmRes60343.2023.00007 2023 IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes), MelbourneMelbourne, Australia, 22 Oct 2023 - 23 Oct 20232023-10-222023-10-23
IEEE 8 - 14 (2023) [10.1109/Vis4PandEmRes60343.2023.00007]2023
Visual analytics tools can help illustrate the spread of infectious diseases and enable informed decisions on epidemiological and public health issues. To create visualisation tools that are intuitive, easy to use, and effective in communicating information, continued research and development focusing on user-centric and methodological design models is extremely important. [...]
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2024-01-18 15:04 |
[DZNE-2024-00086]
Contribution to a conference proceedings
Iyyappan Valsala, P. ; Ehses, P. ; Veldmann, M. ; et al
Rapid and high-resolution bSSFP fMRI using 3D stack of spirals at 9.4 T
2023ISMRM & ISMRT Annual Meeting & Exhibition, TorontoToronto, Canada, 3 Jun 2023 - 8 Jun 20232023-06-032023-06-08
Zenodo 1278 pp. (2023)2023
We explored the spatio-temporal resolution and coverage of bSSFP BOLD contrast using a highly segmented 3D spiral readout. The functional activation maps acquired with the novel functional contrast for full visual field checkerboard stimulus is presented at submillimeter resolutions (0.6 mm3 & 0.8 mm3) and at 1.2 mm3 for whole brain coverage. [...]
External link: Fulltext
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2024-01-18 14:43 |
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