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Sep 27, 2019 - Medical Informatics
Seitz, Max W.; Listl, Stefan; Bartols, Andreas; Schubert, Ingrid; Blaschke, Katja; Haux, Christian; van der Zande, Marieke M., 2019, "Current knowledge on correlations between highly prevalent dental conditions and chronic diseases: an umbrella review [Dataset]", https://doi.org/10.11588/data/ORTPJN, heiDATA, V1
Introduction: There are existing studies investigating relationships between chronic systemic and dental conditions, but it remains unclear how such knowledge can be used in clinical practice. The present report provides an overview on existing systematic reviews, identifying and...
Medical Informatics(Heidelberg University - Medical Faculty Heidelberg)
Sep 27, 2019
Data publications from the Research group Medical Informatics at Heidelberg University's Institute of Medical Biometry and Informatics.
May 28, 2019 - KnopLab
Buchmuller, Benjamin C; Herbst, Konrad; Meurer, Matthias; Kirrmaier, Daniel; Sass, Ehud; Levy, Emmanuel D; Knop, Michael, 2019, "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast [Dataset]", https://doi.org/10.11588/data/L45TRX, heiDATA, V2
Data accompanying the paper "Pooled clone collections by multiplexed CRISPR-Cas12a-assisted gene tagging in yeast" by Buchmuller and Herbst et al, 2019, Nat Communications. This contains raw NGS data for all genotyping analysis in the publication as well as the source code of the...
Feb 6, 2019 - Computer Assisted Clinical Medicine
Zöllner, Frank; Lietzmann, Florian; Attenberger, Ulrike; Haneder, Stefan; Michaely, Henrik; Schad, Lothar, 2019, "DCE-MRI of the human kidney using BLADE: A feasibility study in healthy volunteers [Dataset]", https://doi.org/10.11588/data/5RSAM3, heiDATA, V1
To evaluate the degree of motion compensation in the kidney using two different sampling methods, each in their optimized settings: A BLADE k-space acquisition technique and a routinely used kidney perfusion acquisition scheme (TurboFLASH). Dynamic contrast enhanced magnetic reso...
Feb 5, 2019 - Computer Assisted Clinical Medicine
Davids, M.; Zöllner, F.; Ruttorf, M.; Nees, F.; Flor, H.; Schumann, G.; Schad, L.; the Imagen Consortium, 2019, "Fully-automated quality assurance in multi-center studies using MRI phantom measurements [Dataset]", https://doi.org/10.11588/data/RR5BMF, heiDATA, V1
43 measurements acquired in eight different sites within the IMAGEN-project, comprising the following 3 T scanner types: Siemens Verio and TimTrio; General Electric Signa Excite, and Signa HDx; Philips Achieva. Additionally one phantom data set was aquired on a 3 T Siemens Skyra...
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