[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Jonas Weidner

[eoas-seminar at lists.fsu.edu]

"Brain Tumor Growth Modeling for Radiotherapy Planning"

Jonas Weidner
Technical University of Munich

Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room. Zoom access is intended for external (non-departmental) participants only.

https://fsu.zoom.us/j/94273595552
Meeting # 942 7359 5552

🎦 Colloquium recordings will be made available here,
Https://www.sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C4db414ebe2f543d08f5408de20b29699%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638984148554843298%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=WW6yNu3op%2F%2Fw4EtdV7QLMB01z9eIKMoOUx3xFEC6TvA%3D&reserved=0>


Wednesday, Nov 12, 2025, Schedule:

☕ Nespresso & Teatime - 417 DSL Commons
* 3:00 to 3:30 PM Eastern Time (US and Canada)

🕟 Colloquium - 499 DSL Seminar Room
* 3:30 to 4:30 PM Eastern Time (US and Canada)


Abstract:
Accurate modeling of brain tumor growth holds great promise for improving radiotherapy planning by capturing microscopic infiltration that remains invisible on standard imaging. In this talk, I will present a series of advances toward patient-specific biophysical and data-driven models of glioma growth. Our work integrates mechanistic tumor modeling with machine learning to enable accurate, efficient, and individualized predictions of tumor spread. By combining reaction-diffusion formulations with structural information from diffusion tensor imaging, we capture how white matter architecture shapes glioma invasion. A learnable inference framework then bridges these biophysical models with data-driven parameter estimation, enabling fast and robust reconstruction of patient-specific tumor cell distributions from MRI. Together, these developments move toward clinically applicable tumor growth modeling for personalized radiotherapy planning.

[cid:e9d41a1e-deb5-48a7-aa81-e35056955ad3]

Additional colloquium details can be found here,
https://www.sc.fsu.edu/news-and-events/colloquium/1893-colloquium-with-jonas-weidner-2025-11-12<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1893-colloquium-with-jonas-weidner-2025-11-12&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C4db414ebe2f543d08f5408de20b29699%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638984148554874484%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=XxBdEOpaZqhApUIEvHsy7GJsjaIhs4%2FkjidSdnfXG4c%3D&reserved=0>
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