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 1...
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| 企業作者: | |
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| 其他作者: | , |
| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| 版: | 1st ed. 2025. |
| 叢編: | Lecture Notes in Computer Science,
15182 |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/978-3-031-83243-7 |
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| 總結: | 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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| 實物描述: | XII, 142 p. 44 illus., 37 illus. in color. online resource. |
| ISBN: | 9783031832437 |
| ISSN: | 1611-3349 ; |
| DOI: | 10.1007/978-3-031-83243-7 |