Advancing GABA-edited MRS Research through a Reconstruction Challenge
R. P. Berto, H. Bugler, G. Dias, M. Oliveira, L. Ueda, S. Dertkigil, P. D. P. Costa, L. Rittner, J. P. Merkofer, D. M. J. Van de Sande, S. Amirrajab, G. S. Drenthen, M. Veta, J. F. A. Jansen, M. Breeuwer, , A. D. Harris
This paper presents a benchmark challenge to compare machine learning models for GABA-edited MRS reconstruction using reduced transients, finding that deep learning models achieve comparable metrics to conventional methods.
bioRxiv · Sep 21, 2023Bioengineering