Graphs in Biomedical Image Analysis

Beschreibung

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.

Autor*in

Seyed-Ahmad Ahmadi

Themen in »Graphs in Biomedical Image Analysis«

Artificial intelligence Machine learning Modeling and simulation Life and medical sciences Design and analysis of algorithms Medical imaging Image segmentation Image classification Health informatics Geometric deep learning Graph analytics

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