Roberto Souza

Affiliations: 
2017-2021 Radiology University of Calgary, Calgary, Alberta, Canada 
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Bugler H, Berto R, Souza R, et al. (2024) Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks. Magnetic Resonance Imaging. 111: 186-195
Dubljevic N, Moore S, Lauzon ML, et al. (2024) Effect of MR head coil geometry on deep-learning-based MR image reconstruction. Magnetic Resonance in Medicine
Berto RP, Bugler H, Dias G, et al. (2024) Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time. Magma (New York, N.Y.)
Harris AD, Amiri H, Bento M, et al. (2023) Harmonization of multi-scanner magnetic resonance spectroscopy: ENIGMA consortium task group considerations. Frontiers in Neurology. 13: 1045678
Saat P, Nogovitsyn N, Hassan MY, et al. (2022) A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation. Frontiers in Neuroinformatics. 16: 919779
Jethi AK, Souza R, Ram K, et al. (2022) Improving Fast MRI Reconstructions with Pretext Learning in Low-Data Regime. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2022: 2080-2083
Beauferris Y, Teuwen J, Karkalousos D, et al. (2022) Multi-Coil MRI Reconstruction Challenge-Assessing Brain MRI Reconstruction Models and Their Generalizability to Varying Coil Configurations. Frontiers in Neuroscience. 16: 919186
Loos WS, Souza R, Andersen LB, et al. (2022) Extraction of a vascular function for a fully automated dynamic contrast-enhanced magnetic resonance brain image processing pipeline. Magnetic Resonance in Medicine. 87: 1561-1573
Souza R, Bento M, Nogovitsyn N, et al. (2020) Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction. Magnetic Resonance Imaging
Lucena O, Souza R, Rittner L, et al. (2019) Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artificial Intelligence in Medicine. 98: 48-58
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