Publications

Markus Bauer, und Christoph Augenstein. Can Unlabelled Data Improve AI Applications? A Comparative Study on Self-Supervised Learning in Computer Vision.. Proceedings of the 18th Conference on Computer Science and Intelligence Systems, (35):93–101, IEEE, September 2023. [PUMA: Study Learning Computer Data Self-Supervised Unlabelled Vision. Comparative] URL

Mats Ole Ellenberg, Marc Satkowski, Weizhou Luo, und Raimund Dachselt. Spatiality and Semantics - Towards Understanding Content Placement in Mixed Reality. CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 254:1--254:8, Association for Computing Machinery (ACM), New York, United States of America, 19.04.2023. [PUMA: Augemented FIS_scads Study User Design Reality, Mixed Content Layout, topic_visualcomputing Space, Organization,]

Ali Al-Fatlawi, Negin Malekian, Sebastián Garc\'ıa, Andreas Henschel, Ilwook Kim, Andreas Dahl, Beatrix Jahnke, Peter Bailey, Sarah Naomi Bolz, Anna R Poetsch, Sandra Mahler, Robert Grützmann, Christian Pilarsky, und Michael Schroeder. Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, Mai 2021. [PUMA: cancer; pancreatitis; study transcriptome-wide deep learning; topic_lifescience association pancreatic chronic]

Thomas W Winkler, Felix Grassmann, Caroline Brandl, Christina Kiel, Felix Günther, Tobias Strunz, Lorraine Weidner, Martina E Zimmermann, Christina A Korb, Alicia Poplawski, Alexander K Schuster, Martina Müller-Nurasyid, Annette Peters, Franziska G Rauscher, Tobias Elze, Katrin Horn, Markus Scholz, Marisa Cañadas-Garre, Amy Jayne McKnight, Nicola Quinn, Ruth E Hogg, Helmut Küchenhoff, Iris M Heid, Klaus J Stark, und Bernhard H F Weber. Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced disease. BMC Med. Genomics, (13)1:120, Springer Science and Business Media LLC, August 2020. [PUMA: macular study (IAMDGC); consortium association TYR; Genome-wide Age-related degeneration (GWAS); UK Machine-learning; AMD CD46; (UKBB) Early genomics (AMD); phenotyping; Meta-analysis; biobank Automated AMD; International]

Patrick Ebel, Florian Brokhausen, und Andreas Vogelsang. The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: systems study in-vehicle interview user information experience] URL

Janne Pott, Valentin Schlegel, Andrej Teren, Katrin Horn, Holger Kirsten, Christina Bluecher, Juergen Kratzsch, Markus Loeffler, Joachim Thiery, Ralph Burkhardt, und Markus Scholz. Genetic regulation of PCSK9 (proprotein convertase subtilisin/Kexin type 9) plasma levels and its impact on atherosclerotic vascular disease phenotypes. Circ. Genom. Precis. Med., (11)5:e001992, Ovid Technologies (Wolters Kluwer Health), Mai 2018. [PUMA: genome-wide study atherosclerosis; association]