Imaging habitats can predict early progression and characterise treatment response in glioblastoma: multicentre application of a novel pipeline incorporating bioinformatics and machine learning
Waqar, M. Hessen, E. van Houdt, P. Lewis, D. Li, K. Zhu, X. Jackson, A. Iqbal, M. van der Heide, U. A. Coope, D.
Waqar, M.
Hessen, E.
van Houdt, P.
Lewis, D.
Li, K.
Zhu, X.
Jackson, A.
Iqbal, M.
van der Heide, U. A.
Coope, D.
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Abstract
Description
Date
2024
Publisher
Collections
Keywords
Type
Meetings and Proceedings
Citation
Waqar M, Hessen E, van Houdt P, Lewis D, Li K, Zhu X, et al. IMAGING HABITATS CAN PREDICT EARLY PROGRESSION AND CHARACTERISE TREATMENT RESPONSE IN GLIOBLASTOMA: MULTICENTRE APPLICATION OF A NOVEL PIPELINE INCORPORATING BIOINFORMATICS AND MACHINE LEARNING. Neuro-oncology. 2024 OCT 17;26:V52-V. PubMed PMID: WOS:001340502000169. English.