EUR 22,39
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Aggiungi al carrelloHardcover. Condizione: Sehr gut. Dieser Katalog begleitet die Einzelausstellung von Wang Xiaosong in den Lübecker Museen und dem LUDWIGMUSEUM, mit einem Fokus auf introspektive und moderne Kunstwerke. Zustand: Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Genres: Kunst, Moderne Kunst, Fotografie; Schlagworte: Wang Xiaosong, Xiao Hui Wang, Introspection, Unruly Ants, Lübecker Museen, LUDWIGMUSEUM, Hirmer Verlag, Moderne Kunst, Fotografie, Kunstausstellung. 123 Deutsch 4424g.
EUR 11,00
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Aggiungi al carrelloAK. Lübecker Museen, 8.7.2012 - 2.9.2012 / Ludwig Museum Koblenz,4.11.2012 - 16.1.2013. Mit Texten von Thorsten Rodiek, Beate Reiffenscheid, Demetrio Paparoni, Gao Minglu und Fan D'ian. München: Hirmer Verlag, 2012. Rot illustr. OHardc. 246 Seiten mit Texten in deutsch, englisch und chinesisch sowie 64 teils doppelseitige, farbige Werkabbildungen und Textillustrationen, Bio- und Bibliographie des Künstlers. - 32,5 x 25,5. * Wang Xiaosong ist ein 1964 in Wuhan geborener chinesischer Künstler und Kunst-Professor. Wang, der von 1983 bis 1997 in Peking und Berlin studiert hat, verwendet in seinen Arbeiten einen Zusammenfluss chinesischer und westlicher Kunst. Er nahm 2011 an einem 'Gegenprogramm' zum offiziellen Beitrag der Biennale teilnahm und sorgte so für Aufsehen mit seinen Gemälden. - Druckfrisch und unbenutzt. - Versand gewichtsbedingt nur mit Paket-Zusatzporto möglich !
Da: Fundus-Online GbR Borkert Schwarz Zerfaß, Berlin, Germania
EUR 29,00
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Aggiungi al carrelloPp. Condizione: Wie neu. 1.Auflage. 2 Bände im Schuber, zus. 472 S., überw. Ill. Neuwertiges Exemplar, Originalverschweißt. - Beitr. teilw. dt., teilw. engl., teilw. chin. - Abstrakte Kunst nimmt in China einen Sonderstatus ein. Erst in den vergangenen Jahren behauptet sie sich allmählich gegenüber der figurativen Malerei. Wan Xiaosong war einer der Künstler, der 2011 an einem 'Gegenprogramm' zum offiziellen Beitrag der Biennale teilnahm und so für Aufsehen mit seinen Gemälden sorgte. Die Fotokünstlerin Xiao Hui Wang gilt inzwischen weltweit als eine der einflussreichsten Künstlerinnen unserer Zeit. In ihren neueren Arbeiten wendet sie sich fotografisch scheinbar abstrakten Bildern zu, die sie am Elektronenrastermikroskop überarbeitet. Sie öffnet eine Tür zu einer wunderbaren Welt, die wir nie gesehen haben, und begeht ein neues Gebiet des künstlerischen Schaffens. ISBN 9783777459912 Sprache: Deutsch Gewicht in Gramm: 4424.
Editore: Berlin Hochschule der Künste - Club der chinesischen Kultur und Gesellschaft, 1997
Copia autografata
EUR 37,00
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Aggiungi al carrelloOriginal-Heft; 4°; 28 unpaginierte Seiten; mit Abbildungen; 1 Beilage. Fünf Künstler haben jeweils ihre Biogramme signiert (Wang Xiaosong, Shan Zeng, Chao Ping, Zhang Quikai und Ma Yong). Sehr gutes Exemplar. Sprache: Deutsch 200 gr.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 86,59
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 86,59
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,58
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 93,32
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 94,02
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 101,34
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Aggiungi al carrelloCondizione: New.
Da: Basi6 International, Irving, TX, U.S.A.
EUR 125,42
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Aggiungi al carrelloCondizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
EUR 119,22
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Aggiungi al carrelloHardcover. Condizione: Très bon. Edition 2018. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2018. Ammareal gives back up to 15% of this item's net price to charity organizations.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 147,78
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 148,21
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books Puddle, New York, NY, U.S.A.
EUR 160,62
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 152,31
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 164,50
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Da: Majestic Books, Hounslow, Regno Unito
EUR 165,76
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 161,80
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Editore: Wiley-Blackwell 2019-02-12, 2019
ISBN 10: 1119237300 ISBN 13: 9781119237303
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 163,33
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Aggiungi al carrelloHardcover. Condizione: New.
Editore: Springer International Publishing, 2020
ISBN 10: 3030139719 ISBN 13: 9783030139711
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.The book's chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval.The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.
Editore: Springer International Publishing, Springer Nature Switzerland Okt 2020, 2020
ISBN 10: 3030139719 ISBN 13: 9783030139711
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 171,19
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.
Editore: Springer International Publishing, 2019
ISBN 10: 3030139689 ISBN 13: 9783030139681
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 171,19
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.The book's chief features are as follows: It highlights how deep neural networks can be used to address new questions and protocols, and to tackle current challenges in medical image computing; presents a comprehensive review of the latest research and literature; and describes a range of different methods that employ deep learning for object or landmark detection tasks in 2D and 3D medical imaging. In addition, the book examines a broad selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to text and image deep embedding for a large-scale chest x-ray image database; and discusses how deep learning relational graphs can be used to organize a sizable collection of radiology findings from real clinical practice, allowing semantic similarity-based retrieval.The intended reader of this edited book is a professional engineer, scientist or a graduate student who is able to comprehend general concepts of image processing, computer vision and medical image analysis. They can apply computer science and mathematical principles into problem solving practices. It may be necessary to have a certain level of familiarity with a number of more advanced subjects: image formation and enhancement, image understanding, visual recognition in medical applications, statistical learning, deep neural networks, structured prediction and image segmentation.
Editore: Springer International Publishing, Springer International Publishing Okt 2019, 2019
ISBN 10: 3030139689 ISBN 13: 9783030139681
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 171,19
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -This book reviews the state of the art in deep learning approaches to high-performance robust disease detection, robust and accurate organ segmentation in medical image computing (radiological and pathological imaging modalities), and the construction and mining of large-scale radiology databases. It particularly focuses on the application of convolutional neural networks, and on recurrent neural networks like LSTM, using numerous practical examples to complement the theory.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch.
Da: dsmbooks, Liverpool, Regno Unito
EUR 165,97
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
Da: Revaluation Books, Exeter, Regno Unito
EUR 193,55
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Aggiungi al carrelloHardcover. Condizione: Brand New. 520 pages. 8.66x6.08x0.89 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 180,14
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Da: California Books, Miami, FL, U.S.A.
EUR 205,25
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Da: California Books, Miami, FL, U.S.A.
EUR 205,25
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 186,19
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Aggiungi al carrelloHardcover. Condizione: New. New. book.