Spectralligence at ISMRM 2024

ISMRM 2024

The Spectralligence project is well represented at the coming scientific conference of the International Society for Magnetic Resonance in Medicine. A total of 4 abstracts will be presented!

Julian P. Merkofer et al. “Assessing Machine Learning Robustness in MRS Quantification: Impact of Training Strategies on Out-of-Distribution Generalization”

Julian P. Merkofer et al. “Data-Driven MRS Signal Decomposition Using Wavelet Analysis”

Dennis van de Sande et al. “Comparison of Variational Autoencoders for Magnetic Resonance Spectroscopy DataSynthesis”

Dennis van de Sande et al. “Magnetic Resonance Spectroscopy Data Generation Using Physics-informed Autoencoders”

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