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Department Artificial Intelligence in Biomedical Engineering (AIBE)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Overview
Publications
(1,244)
Research Data
(3)
Research Grants
(4)
Types of publications
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Journal article
Journal article
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Book chapter / Article in edited volumes
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Authored book
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Translation
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Thesis
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Conference contribution
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Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers (2023)
Gruenerbel L, Heinrich F, Böhlhoff-Martin J, Röper L, Machens HG, Gruenerbel A, Schillinger M, et al.
Journal article
openTSST – An open web platform for large-scale, video-based motion analysis during acute psychosocial stress (2023)
Richer R, Geßler T, Herzer L, Abel L, Küderle A, Rohleder N, Eskofier B
Conference contribution, Abstract of a poster
Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar (2023)
Krauß D, Richer R, Albrecht NC, Küderle A, Abel L, Leutheuser H, Jukic J, et al.
Conference contribution, Abstract of a poster
Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer (2023)
Bachhuber S, Lehmann D, Dorschky E, Koelewijn A, Seel T, Weygers I
Journal article
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation (2023)
Qiu J, Wilm F, Öttl M, Schlereth M, Liu C, Heimann T, Aubreville M, Breininger K
Conference contribution, Conference Contribution
Simplifying Medical Ultrasound (2023)
Kainz B, Noble JA, Schnabel J, Khanal B, Müller J, Day T
Edited Volume
Artificial Intelligence in Laryngeal Endoscopy Künstliche Intelligenz in der laryngealen Endoskopie (2023)
Kist A
Journal article
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach (2023)
Dumbach P, Schwinn L, Löhr T, Do PL, Eskofier B
Journal article, Original article
Impact of Including Pathological Speech in Pre-Training on Pathology Detection (2023)
Yang SH, Weise T, Demir K
Conference contribution, Conference Contribution
Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making (2023)
Ammeling J, Manger C, Kwaka E, Krügel S, Uhl M, Kießig A, Fritz A, et al.
Conference contribution
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