Ma imran (22 résultats)

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Brand New. 133 pages. 6.14x0.30x9.21 inches. In Stock.

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Paperback. Etat : Brand New. 228 pages. 9.25x6.10x0.51 inches. In Stock.

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA).…

Taschenbuch. Etat : Neu. Multi-class Segmentation of the Aorta | AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings | Muhammad Imran (u. a.) | Taschenbuch | Lecture Notes in Computer Science | x | Englisch | 2026 | Springer | EAN 9783032142450 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Gebunden. Etat : New. Muhammad Ali Imran, Professor of Communication Systems in University of Glasgow, Dean University of Glasgow UESTC and Head of Communications, Sensing and Imaging Group.Lina Mohjazi, Lecturer, with the James Watt School of Engineering, University of Glasgow..

Etat : New. EDITED BYMUHAMMAD ALI IMRAN, is Dean Glasgow College UESTC, Professor of Communication Systems and Head of Communications Sensing and Imaging group in the James Watt School of Engineering at the University of Glasgow, UK.RAMI GHANNAM, is Lecturer (Assistant.

Etat : New. MUHAMMAD ALI IMRAN is the Vice Dean of Glasgow College UESTC and Professor of Communication Systems in the School of Engineering at the University of Glasgow, UK. He is a senior member of IEEE, a Fellow of IET, and a Senior Fellow of the Higher Education Ac.

Gebunden. Etat : New. MUHAMMAD A. IMRAN, PHD, is Professor of Communication Systems at the James Watt School of Engineering and the Dean, University of Glasgow, UESTC. He is also an Affiliate Professor at the University of Oklahoma, USA, and a Visiting Professor at 5G Innovation.

Etat : New. Muhammad Ali Imran, is Dean University of Glasgow, UESTC, Professor of Communication Systems and Head of Communications Sensing and Imaging Group at the James Watt School of Engineering, University of Glasgow, UK.Oluwakayode Onireti, PhD, is a Lecturer at t.

paperback. Etat : New. Paperback. Pub Date: 2021-09-01 Pages: 280 Language: Chinese Publisher: Machinery Industry Press This book is dedicated to solving practical problems using algorithms and is divided into three parts.?The first part introduces the core content of the algorithm. discusses what an algorithm is. how to design an algorithm. and at the same time learns the data structure used in the algorithm. and also explains in depth the sorting algorithm. search algorithm and algorithm for solving graph problem.…

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). 123 pp. Englisch.…

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Paperback. Etat : new. Paperback. This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024. The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA). This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book constitutes the proceedings of the First MICCAI Challenge Multi-class Segmentation of the Aorta, AortaSeg 2024, held in conjunction with MICCAI 2024, as a virtual event, during October 2024.The 10 papers included in the book were carefully reviewed and selected from 16 submitting teams. This challenge aimed to advance the field of medical image segmentation by introducing the first large-scale, publicly available dataset for multi-class segmentation of the aorta, its branches, and clinically relevant zones in computed tomography angiography (CTA).Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.…