Keidel, Ralf: SIVERT Research Group Goals

SIVERT (a newly founded research group) aims to unlock the potential of particle therapy and pCT by improving the reliability and precision of diagnoses and therapeutic results through robust, real-time visualization and reconstruction methods. Researching and developing novel machine learning approaches is the central theme of all activities, because of their promising potential in addressing the multiple competing requirements. In this talk we will try to give support for the development of research questions. Details on Monte Carlo simulation strategies, data management, data conversion, historical evaluation methods and shortcomings of the pCT detector and software systems are also addressed.

How to join:

The talk is held online via Jitsi. You can join with the link https://jitsi.uni-kl.de/SciCompSeminar_04. Please follow the rules below:

• Use a chrome based browser (One member with a different browser can crash the whole meeting).
• Mute your microphone and disable your camera.
• If you have a question, raise your hand.

More information is available at https://www.rhrk.uni-kl.de/dienstleistungen/netz-telefonie/konferenzdienste/jitsi/.

Referent: Prof. Dr. Ralf Keidel, HS Worms

Zeit: 11:30 Uhr

Ort: online