Department Artificial Intelligence in Biomedical Engineering (AIBE)


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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Unpublished / Preprint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

From
To

Abstract

Journal

Special Issue Editorial: Advancing Psychoneuroendocrinology through Artificial Intelligence and Digital Technologies (2025) Richer R, Rohleder N Journal article Sensor-Based Detection of Fear and Stress in Lower Back Pain Simulation (2025) Heuler A, Oeler C, Richer R, Rohleder N, Barke A, Weise C Conference contribution, Abstract of a poster Implicit neural representations for laryngeal aerodynamics (2025) Hauser S, Kist A, Döllinger M, Kniesburges S Journal article Adaptive Biofeedback for Digital Physiotherapy Using Sakoe-Chiba Constrained Pose Matching (2025) Müller J, Weiß A, Eskofier B Conference contribution Don’t get me wrong: How to apply deep visual interpretations to time series (2025) Löffler C, Lai WC, Zanca D, Schmidt L, Eskofier B, Mutschler C Journal article 3D Tumor microenvironment interaction reveals AP-1 complex regulation and contact-mediated reprogramming of bone marrow stromal cells in chronic lymphocytic leukemia (2025) Lindacher J, Hartebrodt A, Dingfelder J, Lukas P, Würthner L, Völkl S, Blumenthal DB, et al. Journal article Myoelectric grip force prediction using deep learning for hand robot (2025) Anam K, Ardhiansyah DD, Sasono MAH, Imron AMN, Rizal NA, Ramadhan ME, Muttaqin AZ, et al. Journal article Multimodal stress assessment: Connecting task-related changes in self-reported stress, salivary biomarkers, heart rate, and facial expressions in the context of the stress response to the Trier Social Stress Test (2025) Ringgold V, Burkhardt F, Abel L, Kurz M, Müller V, Richer R, Eskofier B, et al. Journal article Towards a Real-Time, Interactive, Incremental Learning Algorithm for Prosthetic Myocontrol (2025) Canepa M, Marucchi L, Boccardo N, Marinelli A, Di Domenico D, Gandolla M, Laffranchi M, Castellini C Conference contribution A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs (2025) Salehihafshejani F, Salin E, Smarr B, Bayat S, Kleyer A, Schett G, Fritsch-Stork R, Eskofier B Journal article