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Title:

Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort.

Document type:
Journal Article
Author(s):
Gatidis, Sergios; Kart, Turkay; Fischer, Marc; Winzeck, Stefan; Glocker, Ben; Bai, Wenjia; Bülow, Robin; Emmel, Carina; Friedrich, Lena; Kauczor, Hans-Ulrich; Keil, Thomas; Kröncke, Thomas; Mayer, Philipp; Niendorf, Thoralf; Peters, Annette; Pischon, Tobias; Schaarschmidt, Benedikt M; Schmidt, Börge; Schulze, Matthias B; Umutle, Lale; Völzke, Henry; Küstner, Thomas; Bamberg, Fabian; Schölkopf, Bernhard; Rueckert, Daniel
Abstract:
OBJECTIVES: The UK Biobank (UKBB) and German National Cohort (NAKO) are among the largest cohort studies, capturing a wide range of health-related data from the general population, including comprehensive magnetic resonance imaging (MRI) examinations. The purpose of this study was to demonstrate how MRI data from these large-scale studies can be jointly analyzed and to derive comprehensive quantitative image-based phenotypes across the general adult population. MATERIALS AND METHODS: Image-deriv...     »
Journal title abbreviation:
Invest Radiol
Year:
2023
Journal volume:
58
Journal issue:
5
Pages contribution:
346-354
Fulltext / DOI:
doi:10.1097/RLI.0000000000000941
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/36729536
Print-ISSN:
0020-9996
TUM Institution:
656; Institut für KI und Informatik in der Medizin
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