Machine learning mri methods (5 risultati)

Machine Learning in MRI : From Methods to Clinical Translation
Kuestner, Thomas (EDT); Huang, Hao (EDT); F Baumgartner, Christian (EDT); Payabvash, Sam (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 187,34
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Machine Learning in MRI : From Methods to Clinical Translation
Kuestner, Thomas (EDT); Huang, Hao (EDT); F Baumgartner, Christian (EDT); Payabvash, Sam (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 181,39
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Machine Learning in MRI : From Methods to Clinical Translation
Kuestner, Thomas (EDT); Huang, Hao (EDT); F Baumgartner, Christian (EDT); Payabvash, Sam (EDT)
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 187,12
EUR 17,97 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.

Machine Learning in MRI : From Methods to Clinical Translation
Kuestner, Thomas (EDT); Huang, Hao (EDT); F Baumgartner, Christian (EDT); Payabvash, Sam (EDT)
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 230,05
EUR 2,36 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.

Lingua: Inglese
Editore: Elsevier Science & Technology, Academic Press Dez 2025, 2025
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 243,09
EUR 45,29 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. Neuware - Machine Learning in MRI: From Methods to Clinical Translation, Volume Thirteen in theAdvances in Magnetic Resonance Technology and Applications series presents state-of-the-art machine learning methods in magnetic resonance imaging that can shape and impact the future of patient treatment and planning. Common methods and strategies along the processing chain of data acquisition, image reconstruction, image post-processing, and image analysis of these imaging modalities are presented and illustrated. The book focuses on applications and anatomies for which machine learning methods can bring, or have already brought. Ideas and concepts on how processing could be harmonized and used to provide deployable frameworks that integrate into the clinical workflows are also considered.Pitfalls and current limitations are discussed in the context of how they could be overcome to cater for clinical needs, making this an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. By giving an interdisciplinary presentation and discussion on the obstacles and possible solutions for the clinical translation of machine learning methods, this book enables the evolution of machine learning in medical imaging for the next decade.…