Publications

Dennis van de Sande et al., “Magnetic Resonance Spectroscopy Data Generation Using Physics-informed Autoencoders”, ISMRM, 4-9 May 2024, Singapore

Dennis van de Sande et al., “Comparison of Variational Autoencoders for Magnetic Resonance Spectroscopy Data Synthesis”, ISMRM, 4-9 May 2024, Singapore

Julian Merkofer et al., “Assessing Machine Learning Robustness in MRS Quantification: Impact of Training Strategies on Out-of-Distribution Generalization”, ISMRM, 4-9 May 2024, Singapore

Julian Merkofer et al., “Data-Driven MRS Signal Decomposition Using Wavelet Analysis”, ISMRM, 4-9 May 2024, Singapore

Dennis van de Sande, Sina Amirrajab, Mitko Veta, Marcel Breeuwer “Conditional VAE for Single-Voxel MRS Data Generation”, poster presentation at the ISMRM Benelux conference, March 24th, Brussels, Belgium

Julian Merkofer, Sina Amirrajab, Johan S. van den Brink, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, and Ruud J. G. van Sloun, “Predicting Uncertainty of Metabolite Quantification in MRS with Applications for Adaptive Ensembling”, poster presentation at the ISMRM Benelux conference, March 24th, Brussels, Belgium

Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab, Mitko Veta, Ruud J. G. van Sloun, Maarten J. Versluis, Jacobus F. A. Jansen, Johan S. van den Brink, Marcel Breeuwer, “A Review of Machine Learning Applications for the Proton Magnetic Resonance Spectroscopy Workflow”, arXiv:2305.09621, https://doi.org/10.48550/arXiv.2305.09621

Dennis van de Sande, Sina Amirrajab, Mitko Veta, Marcel Breeuwer “Conditional VAE for Single-Voxel MRS Data Generation”, poster presentation at the 2023 ISMRM Annual Meeting and Exhibition, 3-8 June 2023, Toronto, Canada

Julian Merkofer, Sina Amirrajab, Johan S. van den Brink, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, and Ruud J. G. van Sloun, “Predicting Uncertainty of Metabolite Quantification in MRS with Applications for Adaptive Ensembling”, p poster presentation at the 2023 ISMRM Annual Meeting and Exhibition, 3-98 June 2023, Toronto, Canada

Veeraiah P, Jansen JFA., Multinuclear Magnetic Resonance Spectroscopy at Ultra-High-Field: Assessing Human Cerebral Metabolism in Healthy and Diseased States. Metabolites. 2023 Apr 19;13(4):577. https://10.3390/metabo13040577.

Rodrigo Pommot Berto, Hanna Bugler, Gabriel Dias, Mateus Oliveira, Lucas Ueda, Sergio Dertkigil, Paula D. P. Costa, Leticia Rittner, Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun, Abdul Qayyum, Cristobal Rodero, Steven Niederer, Roberto Souza, Ashley D. Harris. “Advancing GABA-edited MRS Research through a Reconstruction Challenge.” bioRxiv 2023.09.21.557971; doi: https://doi.org/10.1101/2023.09.21.557971 (2023).

Julian P. Merkofer, Dennis M. J. van de Sande, Sina Amirrajab, Gerhard S. Drenthen, Mitko Veta, Jacobus F. A. Jansen, Marcel Breeuwer, Ruud J. G. van Sloun. “A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge.” arXiv:2306.02984; doi: https://doi.org/10.48550/arXiv.2306.02984 (2023).

Dennis M. J. van de Sande, Julian P. Merkofer, Sina Amirrajab, Mitko Veta, Ruud J. G. van Sloun, Maarten J. Versluis, Jacobus F. A. Jansen, Johan S. van den Brink, Marcel Breeuwer. “A review of machine learning applications for the proton MR spectroscopy workflow.” Magnetic Resonance in Medicine 90.4: 1253-1270; doi: https://doi.org/10.1002/mrm.29793 (2023).