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Biomedical Image Registration : 10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings / / edited by Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert



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Titolo: Biomedical Image Registration : 10th International Workshop, WBIR 2022, Munich, Germany, July 10–12, 2022, Proceedings / / edited by Alessa Hering, Julia Schnabel, Miaomiao Zhang, Enzo Ferrante, Mattias Heinrich, Daniel Rueckert Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (223 pages)
Disciplina: 006.6
Soggetto topico: Image processing - Digital techniques
Computer vision
Machine learning
Education - Data processing
Social sciences - Data processing
Bioinformatics
Computer Imaging, Vision, Pattern Recognition and Graphics
Machine Learning
Computers and Education
Computer Application in Social and Behavioral Sciences
Computational and Systems Biology
Persona (resp. second.): HeringAlessa
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Atlases -- Topology -- Uncertainty -- Architectures -- Optimization -- Metrics -- Losses -- Efficiency.
Sommario/riassunto: This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022. The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers. The papers are organized in the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology and metrics.
Titolo autorizzato: Biomedical Image Registration  Visualizza cluster
ISBN: 3-031-11203-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910584598603321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13386