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Department Artificial Intelligence in Biomedical Engineering (AIBE)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Fakultät
Overview
Publications
(861)
Research Grants
(138)
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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
Conference contribution
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Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement (2021)
Richer R, Küderle A, Dörr J, Rohleder N, Eskofier B
Conference contribution, Original article
A gamified smartphone-based intervention for depression: Randomized Controlled Pilot Trial. (2021)
Lukas C, Eskofier B, Berking M
Journal article, Original article
Prediction of the effect of midsole stiffness and energy return using trajectory optimisation (2021)
Nitschke M, Luckfiel T, Schlarb H, Dorschky E, Koelewijn A
Conference contribution, Abstract of lecture
On the Privacy of Federated Pipelines (2021)
Nasirigerdeh R, Torkzadehmahani R, Baumbach J, Blumenthal DB
Conference contribution, Conference Contribution
A Predictive Simulation Study into the Effect of Below-Knee Prosthesis Alignment on Metabolic Cost (2021)
Koelewijn A, Nitschke M, van den Bogert AJ
Conference contribution, Abstract of a poster
Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors (2021)
Nitschke M, Dorschky E, Eskofier B, Koelewijn A, van den Bogert AJ
Conference contribution, Abstract of lecture
BROAD – A Benchmark for Robust Inertial Orientation Estimation (2021)
Laidig D, Caruso M, Cereatti A, Seel T
Journal article
Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy (2021)
Husvogt L, Abu-Qamar O, Levine E, Schottenhamml J, Ploner S, Breininger K, Moult E, et al.
Conference contribution, Abstract of a poster
Assessing visual exploratory activity of athletes in virtual reality using head motion characteristics (2021)
Wirth M, Kohl S, Gradl S, Farlock R, Roth D, Eskofier B
Journal article
Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators (2021)
Hug F, Avrillon S, Del Vecchio A, Casolo A, Ibanez J, Nuccio S, Rossato J, et al.
Journal article
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