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Michael Wand

Showing results (11-20 of 17) with videos related to

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Communications Medicine|July 2, 2025
Overcoming data scarcity in life-threatening arrhythmia detection through transfer learningGiuliana Monachino, Beatrice Zanchi, Michael Wand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech ConversionZhao Ren, Kevin Scheck, Qinhan Hou, et al.
The Journal of Chemical Physics|May 19, 2026
Reconstruction of spin structures from topological charge distributions via generative neural network systemsKyra H M Klos, Jan Disselhoff, Michael Wand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech InterfacesQinhan Hou, Stefano van Gogh, Kevin Scheck, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cross-Speaker Training and Adaptation for Electromyography-to-Speech ConversionKevin Scheck, Zhao Ren, Tom Dombeck, et al.
Journal of Neuroengineering and Rehabilitation|February 13, 2021
User training for machine learning controlled upper limb prostheses: a serious game approachMorten B Kristoffersen, Andreas W Franzke, Raoul M Bongers, et al.
European Urology|May 2, 2020
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological SlidesAnn-Christin Woerl, Markus Eckstein, Josephine Geiger, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Communications Medicine|July 2, 2025
Overcoming data scarcity in life-threatening arrhythmia detection through transfer learningGiuliana Monachino, Beatrice Zanchi, Michael Wand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diff-ETS: Learning a Diffusion Probabilistic Model for Electromyography-to-Speech ConversionZhao Ren, Kevin Scheck, Qinhan Hou, et al.
The Journal of Chemical Physics|May 19, 2026
Reconstruction of spin structures from topological charge distributions via generative neural network systemsKyra H M Klos, Jan Disselhoff, Michael Wand, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
emg2vec: Self-supervised Pretraining in Electromyography-based Silent Speech InterfacesQinhan Hou, Stefano van Gogh, Kevin Scheck, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Cross-Speaker Training and Adaptation for Electromyography-to-Speech ConversionKevin Scheck, Zhao Ren, Tom Dombeck, et al.
Journal of Neuroengineering and Rehabilitation|February 13, 2021
User training for machine learning controlled upper limb prostheses: a serious game approachMorten B Kristoffersen, Andreas W Franzke, Raoul M Bongers, et al.
European Urology|May 2, 2020
Deep Learning Predicts Molecular Subtype of Muscle-invasive Bladder Cancer from Conventional Histopathological SlidesAnn-Christin Woerl, Markus Eckstein, Josephine Geiger, et al.
Pageof 2