A Wavelet Scattering Convolutional Network for Magnetic Resonance Spectroscopy Signal Quantitation. - Amirmohammad Shamaei; Jana Starcuková; Zenon Starcuk Jr. (BIOSIGNALS, 2021)

Spectro-ViT: A Vision Transformer Model for GABA-edited MRS Reconstruction Using Spectrograms. - Gabriel Santos Martins Dias; Rodrigo Pommot Berto; Mateus Oliveira; Lucas H. Ueda; Sergio Dertkigil; Paula D. P. Costa; Amirmohammad Shamaei; Roberto Souza 001; Ashley D. Harris; Letícia Rittner (CoRR, 2023)

Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data. - Amirmohammad Shamaei; Jana Starcuková; Zenon Starcuk (Comput. Biol. Medicine, 2023)

Unsupervised Domain Adaptation of Brain MRI Skull Stripping Trained on Adult Data to Newborns: Combining Synthetic Data with Domain Invariant Features. - Abbas Omidi; Amirmohammad Shamaei; Anouk Verschuu; Regan King; Lara Leijser; Roberto Souza 001 (MIDL, 2024)

Quantifying White Matter Hyperintensities: Predicting Periventricular Fazekas Scores with Uncertainty Estimation. - Susanne Schmid; Amirmohammad Shamaei; Roberto Souza 001; Richard Frayne (ISBI, 2025)

Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging. - Amirmohammad Shamaei; Alexander Stebner; Salome Bosshart; Johanna Ospel; Gouri Ginde; Mariana P. Bento; Roberto Souza 001 (CoRR, 2025)