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Unpublished / Preprint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

Human Activity Recognition based on the Fading characteristics of the On-body Channel (2022) Dib W, Ghanem K, Ababou A, Eskofier B Journal article Wearable gait analysis systems: ready to be used by medical practitioners in geriatric wards? (2022) Ollenschläger M, Müller-Schulz M, Püllen R, Möller C, Klucken J, Eskofier B, Kluge F Journal article Video Summarization Through Reinforcement Learning with a 3D Spatiooral U-Net (2022) Liu T, Meng Q, Huang JJ, Vlontzos A, Rueckert D, Kainz B Journal article Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement (2022) Mehringer W, Wirth M, Roth D, Michelson G, Eskofier B Journal article A Virtual Reality Based System for the Screening and Classification of Autism (2022) Robles M, Namdarian N, Otto J, Wassiljew E, Navab N, Falter-Wagner C, Roth D Journal article Federated Learning for Healthcare: Systematic Review and Architecture Proposal (2022) Antunes RS, Da Costa CA, Küderle A, Abdullahi I, Eskofier B Journal article, Review article Lack of increased rate of force development after strength training is explained by specific neural, not muscular, motor unit adaptations (2022) Del Vecchio A, Casolo A, Dideriksen JL, Aagaard P, Felici F, Falla D, Farina D Journal article How many sensors are enough? Trajectory optimization using sparse inertial sensor sets (2022) Nitschke M, Mayer M, Dorschky E, Koelewijn A Conference contribution, Abstract of lecture What should a metabolic energy model look like? Sensitivity of metabolic energy model parameters during gait (2022) Gambietz M, Nitschke M, Miehling J, Koelewijn A Conference contribution, Abstract of a poster Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning (2022) Popp A, Taubmann O, Thamm F, Ditt H, Maier A, Breininger K Conference contribution