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.
Edited by:
Seyed-Ahmad Ahmadi, Anees Kazi Imprint: Springer International Publishing AG Country of Publication: Switzerland Volume: 15182 Dimensions:
Height: 235mm,
Width: 155mm,
ISBN:9783031832420 ISBN 10: 3031832426 Series:Lecture Notes in Computer Science Pages: 142 Publication Date:02 March 2025 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active
