Deep Learning Advancements

in MR Spectroscopy:

Metabolite Quantification & more

This presentation will introduce the use of Deep Learning on the topic of Magnetic Resonance Spectroscopy. Deep Learning has been applied in the field of spectrum denoising, artifact filtering, and as the main topic of the seminar, metabolite quantification. In addition, it will show the usage of Deep Learning Frameworks (Torch) for curve fitting and accelerated metabolite quantification.

The lecture will be held as a zoom meeting, please connect using:

https://unibe-ch.zoom.us/j/61954796127?pwd=b25nSWVIVi9PWlV4Vlp3NXpMdjRQdz09

For further info please contact: bernd.jung@insel.ch