Produktnummer:
18f3f80148db6f435e85760c83f0ac9c84
Themengebiete: | Artificial intelligence Design and analysis of algorithms Geometric deep learning Health informatics Image classification Image segmentation Life and medical sciences Machine learning Medical imaging Modeling and simulation |
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Veröffentlichungsdatum: | 01.03.2025 |
EAN: | 9783031832437 |
Sprache: | Englisch |
Seitenzahl: | 142 |
Produktart: | Unbekannt |
Herausgeber: | Ahmadi, Seyed-Ahmad Kazi, Anees |
Verlag: | Springer International Publishing |
Untertitel: | 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings |
Produktinformationen "Graphs in Biomedical Image Analysis"
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.

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