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Mariana Bento

Observed names: Bento, Mariana, Bento, Mariana Pinheiro, Bento, Mariana Pinheiro, 1988-, M. Bento, M.P. Bento, Mariana P Bento, Mariana P. Bento, Mariana Pinheiro Bento
Observed institutions: Alberta Health Services, University of Calgary, Universidade Estadual de Campinas (UNICAMP), Universidade Federal do Ceará, Foothills Medical Centre, Hotchkiss Brain Institute, Universidade Federal Rural de Pernambuco
ORCID: 0000-0001-5125-0294
Observed ORCID: 0000-0001-5125-0294
OpenAlex ID: A5083770219
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
2019 · Hugo J. Kuijf, Adria Casamitjana, et al. · IEEE Transactions on Medical Imaging · 292
On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection
2010 · Fátima N.S. Medeiros, Geraldo L.B. Ramalho, et al. · EURASIP Journal on Advances in Signal Processing · 101
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Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets
2022 · Mariana Bento, Irene Fantini, et al. · Frontiers in Neuroinformatics · 62
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Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction
2020 · Roberto Souza, Mariana Bento, et al. · Magnetic Resonance Imaging · 61
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Computational methods for corpus callosum segmentation on MRI: A systematic literature review
2017 · G.S. Cover, W.G. Herrera, et al. · Computer Methods and Programs in Biomedicine · 42
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging
2021 · Irene Fantini, Clarissa Yasuda, et al. · Computerized Medical Imaging and Graphics · 25
V-Net and U-Net for Ischemic Stroke Lesion Segmentation in a Small Dataset of Perfusion Data
2019 · Gustavo Retuci Pinheiro, Raphael Voltoline, et al. · Lecture notes in computer science · 20
Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set
2019 · Mariana Bento, Roberto Souza, et al. · Magnetic Resonance Imaging · 19
A framework for quality control of corpus callosum segmentation in large-scale studies
2020 · William Garcia Herrera, Mariana Pereira, et al. · Journal of Neuroscience Methods · 18
Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations
2023 · Ashley D. Harris, Houshang Amiri, et al. · Frontiers in Neurology · 13
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Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging
2017 · Giovana Cover, Mariana Pereira, et al. · IEEE Access · 12
Sex differences in brain MRI using deep learning toward fairer healthcare outcomes
2024 · Mahsa Dibaji, Johanna Ospel, et al. · Frontiers in Computational Neuroscience · 11
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A voxel-level approach to brain age prediction: A method to assess regional brain aging
2024 · Neha Gianchandani, Mahsa Dibaji, et al. · The Journal of Machine Learning for Biomedical Imaging · 8
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Alzheimer Disease Detection Studies: Perspective on Multi-Modal Data
2024 · Farzaneh Dehghani, Reihaneh Derafshi, et al. · Yearbook of Medical Informatics · 7
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Accuracy-fairness trade-off in ML for healthcare: A quantitative evaluation of bias mitigation strategies
2025 · Farzaneh Dehghani, Pedro Paiva, et al. · Information and Software Technology · 5
Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness
2024 · Farzaneh Dehghani, Nikita Malik, et al. · International Symposium on Medical Information Processing and Analysis (SIPAIM) · 5
Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging
2023 · Anik Das, Kaue T N Duarte, et al. · International Symposium on Medical Information Processing and Analysis (SIPAIM) · 5
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study
2018 · Roberto Souza, Oeslle Lucena, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 5
WMH Segmentation Challenge: A Texture-Based Classification Approach
2018 · Mariana Bento, Roberto de Souza, et al. · Lecture notes in computer science · 5
Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique
2018 · Mariana Bento, Roberto Souza, et al. · Lecture notes in computer science · 5
Probabilistic Segmentation of Brain White Matter Lesions Using Texture-Based Classification
2017 · Mariana Bento, Yan Sym, et al. · Lecture notes in computer science · 5
Web-based platform for collaborative medical imaging research
2015 · Leticia Rittner, Mariana P. Bento, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 5
A visual journey through medium vessel occlusion strokes: From diagnosis to treatment
2025 · Alexander Stebner, Salome L Bosshart, et al. · Interventional Neuroradiology · 4
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
2024 · Kauê T. N. Duarte, Abhijot S. Sidhu, et al. · Frontiers in Computational Neuroscience · 4
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights
2024 · Anik Das, Kaue Duarte, et al. · Frontiers in Computational Neuroscience · 4
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Works count: 74
Citation count: 769
H-index: 11
I10-index: 12
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