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Condizione: New.
Condizione: As New. Unread book in perfect condition.
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 303144857X ISBN 13: 9783031448577
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Prima edizione
Paperback. Condizione: new. Paperback. This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions.The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track).The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Editore: Springer Nature Switzerland AG, CH, 2020
ISBN 10: 3030668428 ISBN 13: 9783030668426
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 74,63
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Aggiungi al carrelloPaperback. Condizione: New. 1st ed. 2020. This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging.For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience.*The workshops were held virtually due to the COVID-19 pandemic.
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Condizione: New. 1st ed. 2020 edition NO-PA16APR2015-KAP.
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Condizione: New. pp. 184.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Editore: Springer-Nature New York Inc, 2021
ISBN 10: 3030668428 ISBN 13: 9783030668426
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 324 pages. 9.25x6.10x0.83 inches. In Stock.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 184 pages. 9.26x6.10x0.40 inches. In Stock.
Condizione: New.
Condizione: New.
Editore: Springer, Berlin|Springer Nature Switzerland|Springer, 2022
ISBN 10: 303117898X ISBN 13: 9783031178986
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 52,76
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Editore: Springer International Publishing, Springer Nature Switzerland Dez 2020, 2020
ISBN 10: 3030668428 ISBN 13: 9783030668426
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2020, and the Second International Workshop on Radiogenomics in Neuro-oncology, RNO-AI 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.\*For MLCN 2020, 18 papers out of 28 submissions were accepted for publication. The accepted papers present novel contributions in both developing new machine learning methods and applications of existing methods to solve challenging problems in clinical neuroimaging. For RNO-AI 2020, all 8 submissions were accepted for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical neuroimaging to discuss and hopefully bridge the existing challenges of applied machine learning in clinical neuroscience. \*The workshops were held virtually due to the COVID-19 pandemic.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch.