2 papers
physics.med-ph2026
Data-driven Synthesis of Magnetic Resonance Spectroscopy Data using a Variational Autoencoder
Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab +4
The development of deep learning methods for magnetic resonance spectroscopy (MRS) is often hindered by limited availability of large, high-quality training datasets. While physics…
stat.ML2025
Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy
Julian P. Merkofer, Dennis M. J. van de Sande, Alex A. Bhogal +1
Magnetic resonance spectroscopy (MRS) is a non-invasive technique to measure the metabolic composition of tissues, offering valuable insights into neurological disorders, tumor det…