PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N� de r�f. du vendeur L0-9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics

Aghazadeh, Hamed; Mosaddeghi Heris, Reza; Taheri, Niloofar

Edit� par Scholars' Press, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics (Paperback)

Hamed Aghazadeh

Edit� par Scholars' Press, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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Paperback. Etat : new. Paperback. This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics

Hamed Aghazadeh

Edit� par Scholars' Press Okt 2025, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 152 pp. Englisch. N� de r�f. du vendeur 9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics (Paperback)

Hamed Aghazadeh

Edit� par Scholars' Press, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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Paperback. Etat : new. Paperback. This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics

Hamed Aghazadeh

Edit� par Scholars' Press Okt 2025, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 152 pp. Englisch. N� de r�f. du vendeur 9786209133985

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ARIA-NET Adaptive Real-Time Imaging Analytics : for Neurological Emergency Triage

Hamed Aghazadeh

Edit� par Scholars' Press, 2025

ISBN 10 : 6209133983 ISBN 13 : 9786209133985

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. N� de r�f. du vendeur 9786209133985

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