Mariana Bento - Publications

Affiliations: 
University of Calgary, Calgary, Alberta, Canada 

6 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Harris AD, Amiri H, Bento M, Cohen R, Ching CRK, Cudalbu C, Dennis EL, Doose A, Ehrlich S, Kirov II, Mekle R, Oeltzschner G, Porges E, Souza R, Tam FI, et al. Harmonization of multi-scanner magnetic resonance spectroscopy: ENIGMA consortium task group considerations. Frontiers in Neurology. 13: 1045678. PMID 36686533 DOI: 10.3389/fneur.2022.1045678  0.614
2022 Bento M, Fantini I, Park J, Rittner L, Frayne R. Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers in Neuroinformatics. 15: 805669. PMID 35126080 DOI: 10.3389/fninf.2021.805669  0.623
2021 Fantini I, Yasuda C, Bento M, Rittner L, Cendes F, Lotufo R. Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 90: 101897. PMID 33770561 DOI: 10.1016/j.compmedimag.2021.101897  0.435
2020 Souza R, Bento M, Nogovitsyn N, Chung KJ, Loos W, Lebel RM, Frayne R. Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction. Magnetic Resonance Imaging. PMID 32562744 DOI: 10.1016/J.Mri.2020.06.002  0.6
2019 Bento M, Souza R, Salluzzi M, Rittner L, Zhang Y, Frayne R. Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set. Magnetic Resonance Imaging. PMID 31228556 DOI: 10.1016/J.Mri.2019.06.007  0.404
2019 Kuijf HJ, Biesbroek JM, de Bresser J, Heinen R, Andermatt S, Bento M, Berseth M, Belyaev M, Cardoso MJ, Casamitjana A, Collins DL, Dadar M, Georgiou A, Ghafoorian M, Jin D, et al. Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge. Ieee Transactions On Medical Imaging. PMID 30908194 DOI: 10.1109/Tmi.2019.2905770  0.313
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