Zobrazeno 1 - 10
of 462
pro vyhledávání: '"P. Gassert"'
Autor:
Unger, Tim, Moslehian, Arash Sal, Peiffer, J. D., Ullrich, Johann, Gassert, Roger, Lambercy, Olivier, Cotton, R. James, Easthope, Chris Awai
Marker-based Optical Motion Capture (OMC) paired with biomechanical modeling is currently considered the most precise and accurate method for measuring human movement kinematics. However, combining differentiable biomechanical modeling with Markerles
Externí odkaz:
http://arxiv.org/abs/2411.14992
Autor:
Gassert, Philipp, Althoff, Matthias
Reinforcement learning (RL) is not yet competitive for many cyber-physical systems, such as robotics, process automation, and power systems, as training on a system with physical components cannot be accelerated, and simulation models do not exist or
Externí odkaz:
http://arxiv.org/abs/2410.23419
Autor:
Kaster, Lennard, Klein, Henriette, Marka, Alexander W., Urban, Theresa, Karl, Sandra, Gassert, Florian T., Steinhelfer, Lisa, Makowski, Marcus R., Pfeiffer, Daniela, Pfeiffer, Franz
Objectives: Evaluating the effects and artifacts introduced by medical foreign bodies in clinical dark-field chest radiographs and assessing their influence on the evaluation of pulmonary tissue, compared to conventional radiographs. Material & Metho
Externí odkaz:
http://arxiv.org/abs/2408.10855
Autor:
Konovalova, Natalia, Tolpadi, Aniket, Liu, Felix, Akkaya, Zehra, Gassert, Felix, Giesler, Paula, Luitjens, Johanna, Han, Misung, Bahroos, Emma, Majumdar, Sharmila, Pedoia, Valentina
This study investigates the relationship between deep learning (DL) image reconstruction quality and anomaly detection performance, and evaluates the efficacy of an artificial intelligence (AI) assistant in enhancing radiologists' interpretation of m
Externí odkaz:
http://arxiv.org/abs/2407.12184
Autor:
Stolz, Roland, Krasowski, Hanna, Thumm, Jakob, Eichelbeck, Michael, Gassert, Philipp, Althoff, Matthias
Continuous action spaces in reinforcement learning (RL) are commonly defined as multidimensional intervals. While intervals usually reflect the action boundaries for tasks well, they can be challenging for learning because the typically large global
Externí odkaz:
http://arxiv.org/abs/2406.03704
Autor:
Jon F. Rischewski, Florian T. Gassert, Theresa Urban, Johannes Hammel, Alexander Kufner, Christian Braun, Maximilian Lochschmidt, Marcus R. Makowski, Daniela Pfeiffer, Alexandra S. Gersing, Franz Pfeiffer
Publikováno v:
European Radiology Experimental, Vol 8, Iss 1, Pp 1-11 (2024)
Abstract Background Dark-field radiography imaging exploits the wave character of x-rays to measure small-angle scattering on material interfaces, providing structural information with low radiation exposure. We explored the potential of dark-field i
Externí odkaz:
https://doaj.org/article/53b273cffa1d4d3c9d93ded4bfaa6615
Autor:
Giada Devittori, Mosè Peduzzi, Daria Dinacci, Paolo Rossi, Claudio Petrillo, Roger Gassert, Olivier Lambercy
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background It is estimated that 1 in 4 stroke survivors will experience a second stroke. Educating patients about risk factors for stroke and a generally healthier lifestyle may help prevent recurrent strokes, which are a burden on society a
Externí odkaz:
https://doaj.org/article/cffdfe3e6e014134924670961588d241
While much progress has been achieved over the last decades in neuro-inspired machine learning, there are still fundamental theoretical problems in gradient-based learning using combinations of neurons. These problems, such as saddle points and subop
Externí odkaz:
http://arxiv.org/abs/2306.09253
Autor:
Christoph M. Kanzler, Tom Armand, Leonardo Simovic, Ramona Sylvester, Nadine Domnik, Antonia M. Eilfort, Carola Rohner, Roger Gassert, Roman Gonzenbach, Olivier Lambercy
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 21, Iss 1, Pp 1-16 (2024)
Abstract Background Technology-based assessments using 2D virtual reality (VR) environments and goal-directed instrumented tasks can deliver digital health metrics describing upper limb sensorimotor function that are expected to provide sensitive end
Externí odkaz:
https://doaj.org/article/ce1535498ad049da9e3834b0002b327b
Autor:
Gustavo S.P. Pamplona, Amedeo Giussani, Lena Salzmann, Philipp Staempfli, Stefan Schneller, Roger Gassert, Silvio Ionta
Publikováno v:
NeuroImage, Vol 300, Iss , Pp 120870- (2024)
Based on visuo-tactile stimulation, the rubber hand illusion induces a sense of ownership for a dummy hand. Manipulating the visibility of the dummy hand during the stimulation influences cognitive aspects of the illusion, suggesting that the related
Externí odkaz:
https://doaj.org/article/6ddbc9b4f1e44780ad24190ddb48e42b