Citation

Climent Pardo JC, Zapaishchykova A, Boyd A, Tak D, Zielke J, Mahootiha M, Ye Z, Vajapeyam S, Jones J, Smith C, Familiar AM, Nabavizadeh A, Bandopadhayay P, Mueller S, Aerts HJWL, Haas-Kogan DA, Michor F, Ligon KL, Poussaint TY, Faghihroohi S, Kann BH. 2025. Deep learning volumetrics reveal distinct clinical trajectories for pediatric low-grade gliomas under surveillance: A multicenter study. Neuro-oncology advances. 7(1):vdaf145. Pubmed: 40718648 DOI:10.1093/noajnl/vdaf145

Abstract

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© The Author(s) 2025. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

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Franziska Michor uses the tools of theoretical evolutionary biology, applied mathematics, statistics, and computational biology to address important questions in cancer research.

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