Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning – Insights from Training and Performance Evaluation on Simulated and Real Data


Zien Ma, 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, The British Machine Vision Association and Society for Pattern Recognition, Wednesday 8 November 2023. [PDF:abstract]

 

Cite this page as 'Frank C Langbein, "Quantification of Metabolites in Magnetic Resonance Spectra with Deep Learning – Insights from Training and Performance Evaluation on Simulated and Real Data," Ex Tenebris Scientia, 12th September 2023, https://langbein.org/talk-bmva-workshop-2023/ [accessed 28th February 2024]'.

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