Department Artificial Intelligence in Biomedical Engineering


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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

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Abstract

Journal

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