The cause and effect of an MR image: Robustness and generalizability

Aasa Feragen; Eike Petersen; Melanie Ganz

doi:10.1016/B978-0-443-14109-6.00016-X

The cause and effect of an MR image: Robustness and generalizability

Aasa Feragen, Eike Petersen, Melanie Ganz

Afdeling for Hjerne- og Nervesygdomme NEU

Originalsprog	Engelsk
Titel	Machine Learning in MRI - From Methods to Clinical Translation : Advances in Magnetic Resonance Technology and Applications
Redaktører	Thomas Kuestner, Hao Huang, Christian F. Baumgartner, Sam Payabvash
Antal sider	21
Vol/bind	13
Publikationsdato	2025
Udgave	1
Sider	465-485
ISBN (Trykt)	0443141096
DOI	https://doi.org/10.1016/B978-0-443-14109-6.00016-X
Status	Udgivet - 2025

Adgang til dokumentet

10.1016/B978-0-443-14109-6.00016-X

Citationsformater

Feragen, A., Petersen, E., & Ganz, M. (2025). The cause and effect of an MR image: Robustness and generalizability. I T. Kuestner, H. Huang, C. F. Baumgartner, & S. Payabvash (red.), Machine Learning in MRI - From Methods to Clinical Translation: Advances in Magnetic Resonance Technology and Applications (1 udg., Bind 13, s. 465-485) https://doi.org/10.1016/B978-0-443-14109-6.00016-X

The cause and effect of an MR image: Robustness and generalizability. / Feragen, Aasa; Petersen, Eike; Ganz, Melanie.
Machine Learning in MRI - From Methods to Clinical Translation: Advances in Magnetic Resonance Technology and Applications. red. / Thomas Kuestner; Hao Huang; Christian F. Baumgartner; Sam Payabvash. Bind 13 1. udg. 2025. s. 465-485.

Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Undervisning › peer review

Feragen, A, Petersen, E & Ganz, M 2025, The cause and effect of an MR image: Robustness and generalizability. i T Kuestner, H Huang, CF Baumgartner & S Payabvash (red), Machine Learning in MRI - From Methods to Clinical Translation: Advances in Magnetic Resonance Technology and Applications. 1 udg, bind 13, s. 465-485. https://doi.org/10.1016/B978-0-443-14109-6.00016-X

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