Seller: Fundus-Online GbR Borkert Schwarz Zerfaß, Berlin, Germany
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Add to basketPp. Condition: 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.
Published by Hirmer Verlag, München, 2012
ISBN 10: 3777459917 ISBN 13: 9783777459912
Language: English
Seller: Butterfly Books GmbH & Co. KG, Herzebrock-Clarholz, Germany
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Add to basketHardcover. Condition: 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. 472 Seiten Deutsch 4424g.
Seller: SpringBooks, Berlin, Germany
First Edition
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Add to basketHardcover. Condition: Very Good. 1. Auflage. Unread, with a mimimum of shelfwear. Immediately dispatched from Germany.
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Add to basketAK. 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 !
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Hirmer,
Seller: Butterfly Books GmbH & Co. KG, Herzebrock-Clarholz, Germany
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Add to basketHardcover. Condition: Sehr gut. Ein visuell beeindruckendes Buch über die Werke von Wang Xiaosong und Xiao Hui Wang, das die kulturellen Kontraste zwischen Ost und West thematisiert. Zustand: Einband mit geringfügigen Gebrauchsspuren, insgesamt SEHR GUTER Zustand! Stichworte: Genres: Fotografie, Kunst, Kultur; Schlagworte: Wang Xiaosong, Xiao Hui Wang, Kunst, Fotografie, Kultur, Introspektion, Moderner Kunst, Visuelle Symbole, Chinesische Kunst, Sachbuch. 123 Englisch 4437g.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Hardcover. Condition: 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.
Published by Berlin Hochschule der Künste - Club der chinesischen Kultur und Gesellschaft, 1997
Signed
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Add to basketOriginal-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.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Wiley-Blackwell 2019-02-12, 2019
ISBN 10: 1119237300 ISBN 13: 9781119237303
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: HPB-Red, Dallas, TX, U.S.A.
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Add to baskethardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Seller: Majestic Books, Hounslow, United Kingdom
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Published by John Wiley and Sons Inc, US, 2019
ISBN 10: 1119237300 ISBN 13: 9781119237303
Language: English
Seller: Rarewaves.com UK, London, United Kingdom
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Add to basketHardback. Condition: New. An all-in-one guide to the theory and applications of plasticity in metal forming, featuring examples from the automobile and aerospace industries Provides a solid grounding in plasticity fundamentals and material propertiesFeatures models, theorems and analysis of processes and relationships related to plasticity, supported by extensive experimental dataOffers a detailed discussion of recent advances and applications in metal forming.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: New. New. book.
Published by Springer International Publishing, 2019
ISBN 10: 3030139689 ISBN 13: 9783030139681
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: 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.
Published by Springer International Publishing, 2020
ISBN 10: 3030139719 ISBN 13: 9783030139711
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: 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.
Seller: Mispah books, Redhill, SURRE, United Kingdom
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Seller: Books Puddle, New York, NY, U.S.A.
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 520 pages. 8.66x6.08x0.89 inches. In Stock.
Published by Springer International Publishing, Springer Nature Switzerland Okt 2020, 2020
ISBN 10: 3030139719 ISBN 13: 9783030139711
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: 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.