Deep learning-based post-processing of real-time MRI to assess and quantify 
dynamic wrist movement in health and disease

Radke, K. L.; Wollschläger, L. M.; Nebelung, S.; Abrar, D. B.; Schleich, C.; Boschheidgen, M.; Frenken, M.; Schock, J.; Klee, D.; Frahm, J.; Antoch, G.; Thelen, S.; Wittsack, H. J.; Müller-Lutz, A.

doi:10.3390/diagnostics11061077

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Deep learning-based post-processing of real-time MRI to assess and quantify dynamic wrist movement in health and disease

Radke, K. L., Wollschläger, L. M., Nebelung, S., Abrar, D. B., Schleich, C., Boschheidgen, M., et al. (2021). Deep learning-based post-processing of real-time MRI to assess and quantify dynamic wrist movement in health and disease. Diagnostics, 11, 1077. doi:10.3390/diagnostics11061077.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-7662-3 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-7663-2

Genre: Journal Article

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Creators:
Radke, K. L., Author
Wollschläger, L. M., Author
Nebelung, S., Author
Abrar, D. B., Author
Schleich, C., Author
Boschheidgen, M., Author
Frenken, M., Author
Schock, J., Author
Klee, D., Author
Frahm, J.¹, Author
Antoch, G., Author
Thelen, S., Author
Wittsack, H. J., Author
Müller-Lutz, A., Author

Affiliations:
1Research Group of Biomedical NMR, MPI for Biophysical Chemistry, Max Planck Society, ou_578633

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Free keywords: magnetic resonance imaging; scapholunate ligament injury; carpal instability; real-time; deep learning; dynamic instability

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Language(s): eng - English

Dates: Modified: 2021-06-06Submitted: 2021-05-24Accepted: 2021-06-09Published Online: 2021-06-11

Publication Status: Published online

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Rev. Type: Peer

Identifiers: DOI: 10.3390/diagnostics11061077

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Title: Diagnostics

Source Genre: Journal

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Publ. Info: Basel : MPDI

Pages: 17 Volume / Issue: 11 Sequence Number: - Start / End Page: 1077 Identifier: ISSN: 2075-4418