Control and Machine Learning for Magnetic Resonance Spectroscopy


FC Langbein. Control and Machine Learning for Magnetic Resonance Spectroscopy. Keynote talk, Frontiers of Intelligent Computing: Theory and Applications (FICTA), 11-12 April 2023.
[Slides]

We give an overview of our work in magnetic resonance spectroscopy, using machine learning to quantify GABA and MEGAPRESS spectra and quantum control to devise chemically specific pulse sequences.

Cite this page as 'Frank C Langbein, "Control and Machine Learning for Magnetic Resonance Spectroscopy," Ex Tenebris Scientia, 7th May 2023, https://langbein.org/ficta2023/ [accessed 13th April 2024]'.

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