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David Rügamer

Showing results (1-10 of 14) with videos related to

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Scientific Reports|March 11, 2022
Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in GermanyCornelius Fritz, Emilio Dorigatti, David Rügamer
Radiology. Artificial Intelligence|January 15, 2025
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionTobias Weber, Jakob Dexl, David Rügamer, et al.
BMC Research Notes|February 27, 2014
Giardiosis and other enteropathogenic infections: a study on diarrhoeic calves in Southern GermanyJulia Gillhuber, David Rügamer, Kurt Pfister, et al.
Biometrical Journal. Biometrische Zeitschrift|September 27, 2024
Functional Data Analysis: An Introduction and Recent DevelopmentsJan Gertheiss, David Rügamer, Bernard X W Liew, et al.
Gait & Posture|December 16, 2023
Neuromechanical stabilisation of the centre of mass during runningBernard X W Liew, David Rügamer, Aleksandra V Birn-Jeffery
Journal of Clinical Medicine|October 14, 2023
Automatic Variable Selection Algorithms in Prognostic Factor Research in Neck PainBernard X W Liew, Francisco M Kovacs, David Rügamer, et al.
Journal of Biomechanics|February 20, 2024
Strategies to optimise machine learning classification performance when using biomechanical featuresBernard X W Liew, Florian Pfisterer, David Rügamer, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 30, 2022
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck painBernard X W Liew, Francisco M Kovacs, David Rügamer, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 8, 2021
Machine learning approaches applied in spinal pain researchDeborah Falla, Valter Devecchi, David Jiménez-Grande, et al.
Journal of Biomechanics|October 30, 2021
Comparing shallow, deep, and transfer learning in predicting joint moments in runningBernard X W Liew, David Rügamer, Xiaojun Zhai, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Scientific Reports|March 11, 2022
Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in GermanyCornelius Fritz, Emilio Dorigatti, David Rügamer
Radiology. Artificial Intelligence|January 15, 2025
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionTobias Weber, Jakob Dexl, David Rügamer, et al.
BMC Research Notes|February 27, 2014
Giardiosis and other enteropathogenic infections: a study on diarrhoeic calves in Southern GermanyJulia Gillhuber, David Rügamer, Kurt Pfister, et al.
Biometrical Journal. Biometrische Zeitschrift|September 27, 2024
Functional Data Analysis: An Introduction and Recent DevelopmentsJan Gertheiss, David Rügamer, Bernard X W Liew, et al.
Gait & Posture|December 16, 2023
Neuromechanical stabilisation of the centre of mass during runningBernard X W Liew, David Rügamer, Aleksandra V Birn-Jeffery
Journal of Clinical Medicine|October 14, 2023
Automatic Variable Selection Algorithms in Prognostic Factor Research in Neck PainBernard X W Liew, Francisco M Kovacs, David Rügamer, et al.
Journal of Biomechanics|February 20, 2024
Strategies to optimise machine learning classification performance when using biomechanical featuresBernard X W Liew, Florian Pfisterer, David Rügamer, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|March 30, 2022
Machine learning versus logistic regression for prognostic modelling in individuals with non-specific neck painBernard X W Liew, Francisco M Kovacs, David Rügamer, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 8, 2021
Machine learning approaches applied in spinal pain researchDeborah Falla, Valter Devecchi, David Jiménez-Grande, et al.
Journal of Biomechanics|October 30, 2021
Comparing shallow, deep, and transfer learning in predicting joint moments in runningBernard X W Liew, David Rügamer, Xiaojun Zhai, et al.
Pageof 2