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| 001 | 268788 | ||
| 005 | 20240415115757.0 | ||
| 020 | _ | _ | |a 978-3-658-44036-7 (print) |
| 020 | _ | _ | |a 978-3-658-44037-4 (electronic) |
| 024 | 7 | _ | |a 10.1007/978-3-658-44037-4_43 |2 doi |
| 037 | _ | _ | |a DZNE-2024-00331 |
| 100 | 1 | _ | |a Maier, Andreas |0 0000-0002-9550-5284 |b 0 |e Editor |
| 111 | 2 | _ | |a German Conference on Medical Image Computing |c Erlangen |d 2024-03-10 - 2024-03-12 |w Germany |
| 245 | _ | _ | |a Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles |
| 260 | _ | _ | |a Wiesbaden |c 2024 |b Springer Fachmedien Wiesbaden |
| 295 | 1 | 0 | |a Bildverarbeitung 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 |
| 300 | _ | _ | |a 149 - 154 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1713169642_9658 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Contribution to a book |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |m contb |
| 490 | 0 | _ | |a Informatik aktuell |
| 500 | _ | _ | |a Missing Journal: = 2628-8958 (import from CrossRef Book Series, Journals: pub.dzne.de) |
| 520 | _ | _ | |a 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. However, they often lack methods for aggregating information at different brain abstraction levels, and lack an intuitive visualizations.We propose a computational pipeline for quantifying hierarchical volumetric deviations and generating interactive summary visualizations. We collected N=3115 MRI scans from five different data cohorts. We used the FastSurferCNN tool to obtain brain region segmentations and estimate their raw volumes. First, we created a semantic model, encoding hierarchical anatomical relationships in the web ontology language (OWL) model and a computational framework for aggregating volumetric deviations. Second,we developed a visualization framework, providing interactive visual ‘sunburst’ summary plots. The summary plots can highlight mean-group or single-subject atrophy profiles, enhancing visual comparison of atrophy profiles with different AD phases. Our pipeline could assist clinicians in discovering brain pathologies or subgroups in an interpretable and reliable manner. |
| 536 | _ | _ | |a 353 - Clinical and Health Care Research (POF4-353) |0 G:(DE-HGF)POF4-353 |c POF4-353 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series, Journals: pub.dzne.de |
| 700 | 1 | _ | |a Deserno, Thomas M. |0 0000-0003-3492-4407 |b 1 |e Editor |
| 700 | 1 | _ | |a Handels, Heinz |0 0000-0002-3499-4328 |b 2 |e Editor |
| 700 | 1 | _ | |a Maier-Hein, Klaus |0 0000-0002-6626-2463 |b 3 |e Editor |
| 700 | 1 | _ | |a Palm, Christoph |0 0000-0001-9468-2871 |b 4 |e Editor |
| 700 | 1 | _ | |a Tolxdorff, Thomas |0 0000-0002-8612-8157 |b 5 |e Editor |
| 700 | 1 | _ | |a Singh, Devesh |0 P:(DE-2719)9002353 |b 6 |u dzne |
| 700 | 1 | _ | |a Dyrba, Martin |0 P:(DE-2719)2810283 |b 7 |u dzne |
| 773 | _ | _ | |a 10.1007/978-3-658-44037-4_43 |
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| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 6 |6 P:(DE-2719)9002353 |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 7 |6 P:(DE-2719)2810283 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-353 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Clinical and Health Care Research |x 0 |
| 914 | 1 | _ | |y 2024 |
| 920 | 1 | _ | |0 I:(DE-2719)1510100 |k AG Teipel |l Clinical Dementia Research (Rostock /Greifswald) |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a contb |
| 980 | _ | _ | |a I:(DE-2719)1510100 |
| 980 | _ | _ | |a UNRESTRICTED |
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