Technik & Innovation
Machine Learning in den Neurowissenschaften: Anwendungen in der Neurochirurgie II

Programm

• 11:00 – 11:15 10 Min. 5 Min.

  • Abstractvortrag

  Radiomics outperforms semantic features for prediction of response to stereotactic radiosurgery in brain metastases

  • Martin Kocher (Köln)
• 11:15 – 11:30 10 Min. 5 Min.

  • Abstractvortrag

  Unsupervised Classification of Stimulated Raman Scattering Microscopy in Meningiomas Using Deep Convolutional Neural Networks

  • Pierre Scheffler (Freiburg im Breisgau)
• 11:30 – 11:45 10 Min. 5 Min.

  • Abstractvortrag

  Towards an automated risk assessment in brain tumor surgery using AI-based methods: A pilot study

  • Tizian Rosenstock (Berlin)
• 11:45 – 12:00 15 Min. 0 Min.

  • Vortrag

  Zusammenfassung, Wahl des besten Vortrages, Evaluation, Verabschiedung

  • Stefan Linsler (Homburg)