Clustering-Based Model Reduction for Glioma Graph Networks

Mlinarić P, Sokolikj Z, Talla G, Meyer-Baese U, Stadlbauer A, Malberg H, Na CH, Juetten K, Wiestler B, Meyer-Baese A (2025)


Publication Type: Conference contribution

Publication year: 2025

Journal

Publisher: SPIE

Book Volume: 13410

Conference Proceedings Title: Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Event location: San Diego, CA, USA

ISBN: 9781510685987

DOI: 10.1117/12.3049196

Abstract

We analyze structural and functional connectivity graphs for both healthy and glioma subjects by clustering-based model reduction to obtain a detailed understanding of these complex graphs. The reduced-order network is obtained by dividing the connected brain regions or nodes into disjoint clusters. Further, each cluster is replaced by a single new node in a reduced-size graph network. Several partitions are analyzed and evaluated based on model reduction errors.

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How to cite

APA:

Mlinarić, P., Sokolikj, Z., Talla, G., Meyer-Baese, U., Stadlbauer, A., Malberg, H.,... Meyer-Baese, A. (2025). Clustering-Based Model Reduction for Glioma Graph Networks. In Barjor S. Gimi, Andrzej Krol (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. San Diego, CA, USA: SPIE.

MLA:

Mlinarić, P., et al. "Clustering-Based Model Reduction for Glioma Graph Networks." Proceedings of the Medical Imaging 2025: Clinical and Biomedical Imaging, San Diego, CA, USA Ed. Barjor S. Gimi, Andrzej Krol, SPIE, 2025.

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