@@ -42,6 +42,8 @@ magnetic resonance spectra and developing MR pulse sequences.
*<ins>Zien Ma</ins>, Oktay Karakus, Sophie Shermer, Frank Langbein. **Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning: Insights on Simulated and Real Data**. Presentation at the [One Day Meeting: Synthetic Data for Machine Learning](https://www.bmva.org/meetings/23-11-08-Synthetic%20Data%20for%20Machine%20Learning.html), The British Machine Vision Association and Society for Pattern Recognition, Wednesday 8 November 2023. [[PDF:abstract]](https://mrs.qyber.dev/mrsnet/talk-bmva-workshop-2023/bmva-workshop-2023.pdf)
* FC Langbein. **Control and Machine Learning for Magnetic Resonance Spectroscopy**. Keynote talk, Frontiers of Intelligent Computing: Theory and Applications (FICTA), 11-12 April 2023.