Graphs in Biomedical Image Analysis - 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

This book constitutes the refereed proceedings of the 6th International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 12 full papers included in this volume were carefully reviewed and selected from 19 submissions.
The papers cover a wide range of topics, such as deep/machine learning on graphs; probabilistic graphical models for biomedical data analysis; signal processing on graphs for biomedical image analysis; explainable AI (XAI) methods in geometric deep learning; big data analysis with graphs; graphs for small data sets; semantic graph research in medicine; modeling and applications of graph symmetry/equivariance; or graph generative models.

Produktdetails

• Mitarbeit: Seyed-Ahmad Ahmadi (Herausgeber), Kazi (Herausgeber), Anees Kazi (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 25.02.2025
• EAN: 9783031832420
• ISBN: 978-3-0-3183242-0
• Seiten: 142
• Abmessung: 155 mm x 9 mm x 235 mm
• Gewicht: 248 g
• Illustration: XII, 142 p. 44 illus., 37 illus. in color.
• Serie: Lecture Notes in Computer Science
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Allgemeines, Lexika; Künstliche Intelligenz, machine learning, Maschinelles Lernen, Artificial Intelligence, computer science, Health Informatics, Medical imaging, Design and Analysis of Algorithms, image segmentation, modeling and simulation, life and medical sciences, image classification, Graph analytics, Geometric deep learning