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Department Artificial Intelligence in Biomedical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Overview
Publications
(632)
Research Grants
(3)
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Journal article
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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 KC
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
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography (2023)
Denzinger F, Wels M, Taubmann O, Kordon F, Wagner F, Mehltretter S, Gülsün MA, et al.
Conference contribution
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples (2023)
Rivera Monroy L, Rist L, Eberhardt M, Ostalecki C, Baur A, Vera J, Breininger K, Maier A
Conference contribution
Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis (2023)
Ibrahim A, Adler W, Gaßner H, Rothhammer V, Kluge F, Eskofier B
Journal article
Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion (2023)
Mayer K, Del Vecchio A, Eskofier B, Farina D
Journal article
Impact of Including Pathological Speech in Pre-training on Pathology Detection (2023)
Weise T, Maier A, Demir KC, Pérez Toro PA, Arias Vergara T, Heismann B, Nöth E, et al.
Conference contribution
Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages (2023)
Tayebi Arasteh S, Rios-Urrego CD, Nöth E, Maier A, Yang SH, Rusz J, Rafael Orozco-Arroyave J
Conference contribution, Conference Contribution
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