Mariana Bento

681 total citations
25 papers, 204 citations indexed

About

Mariana Bento is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mariana Bento has authored 25 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Artificial Intelligence and 7 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mariana Bento's work include Fetal and Pediatric Neurological Disorders (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Brain Tumor Detection and Classification (4 papers). Mariana Bento is often cited by papers focused on Fetal and Pediatric Neurological Disorders (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers) and Brain Tumor Detection and Classification (4 papers). Mariana Bento collaborates with scholars based in Canada, Brazil and India. Mariana Bento's co-authors include Letícia Rittner, Geraldo L. B. Ramalho, Fátima N. S. de Medeiros, Simone Appenzeller, Richard Frayne, Justin Park, Fernando Cendes, Clarissa Lin Yasuda, Roberto Lotufo and Roberto Souza and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Computer Methods and Programs in Biomedicine.

In The Last Decade

Mariana Bento

22 papers receiving 201 citations

Peers

Mariana Bento

RNMI

CSE

PPCH

NEURO

Tao Zhong China

Davood Karimi United States

Yiyuan Zhao United States

Tim Jerman Slovenia

Wanni Xu China

You-Lei Fu China

Masato Ishii Japan

Fiona Berryman United Kingdom

L. Lloret Iglesias Spain

Qing Xiao China

Tao Zhong China

Mariana Bento

233 ×3.4

RNMI

33 ×0.6

CSE

16 ×0.4

25 ×0.6

PPCH

28 ×0.8

NEURO

Citations per year, relative to Mariana Bento Mariana Bento (= 1×) peers Tao Zhong

Countries citing papers authored by Mariana Bento

Since Specialization

Citations

This map shows the geographic impact of Mariana Bento's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mariana Bento with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariana Bento more than expected).

Fields of papers citing papers by Mariana Bento

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariana Bento. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mariana Bento. The network helps show where Mariana Bento may publish in the future.

Co-authorship network of co-authors of Mariana Bento

This figure shows the co-authorship network connecting the top 25 collaborators of Mariana Bento. A scholar is included among the top collaborators of Mariana Bento based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mariana Bento. Mariana Bento is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lin, Jenn-Wei, et al.. (2025). Accuracy-fairness trade-off in ML for healthcare: A quantitative evaluation of bias mitigation strategies. Information and Software Technology. 188. 107896–107896. 1 indexed citations

Fujiwara, Satoru, et al.. (2025). A visual journey through medium vessel occlusion strokes: From diagnosis to treatment. Interventional Neuroradiology. 31(2). 262–273.

Lebel, Catherine, et al.. (2024). Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights. Frontiers in Computational Neuroscience. 18. 1434421–1434421. 2 indexed citations

Gianchandani, Neha, et al.. (2024). A voxel-level approach to brain age prediction: A method to assess regional brain aging. 2(April 2024). 761–795. 1 indexed citations

Ospel, Johanna M., et al.. (2024). Sex differences in brain MRI using deep learning toward fairer healthcare outcomes. Frontiers in Computational Neuroscience. 18. 1452457–1452457. 2 indexed citations

Gobbi, David G., Cheryl R. McCreary, Feryal Saad, et al.. (2024). Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. Frontiers in Computational Neuroscience. 18. 1487877–1487877. 1 indexed citations

Dehghani, Fariba, et al.. (2024). Fairness in Healthcare: Assessing Data Bias and Algorithmic Fairness. 1–6. 1 indexed citations

Dehghani, Fariba, et al.. (2024). Alzheimer Disease Detection Studies: Perspective on Multi-Modal Data. Yearbook of Medical Informatics. 33(1). 266–276.

Bento, Mariana, et al.. (2023). Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging. 1–4. 1 indexed citations

10.

Bento, Mariana, et al.. (2022). Deep Learning in Large and Multi-Site Structural Brain MR Imaging Datasets. Frontiers in Neuroinformatics. 15. 805669–805669. 29 indexed citations

11.

Yasuda, Clarissa Lin, et al.. (2021). Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging. Computerized Medical Imaging and Graphics. 90. 101897–101897. 15 indexed citations

12.

Bento, Mariana, et al.. (2020). A framework for quality control of corpus callosum segmentation in large-scale studies. Journal of Neuroscience Methods. 334. 108593–108593. 10 indexed citations

13.

Carreira, Bárbara, Rita C. Acúrcio, Ana I. Matos, et al.. (2020). Nanomedicines as Multifunctional Modulators of Melanoma Immune Microenvironment. Advanced Therapeutics. 4(1). 5 indexed citations

14.

Souza, Roberto, Oeslle Lucena, Mariana Bento, et al.. (2019). Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. 22. 234–240.

15.

Bento, Mariana, Roberto Souza, Marina Salluzzi, et al.. (2019). Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set. Magnetic Resonance Imaging. 62. 18–27. 12 indexed citations

16.

Bento, Mariana, et al.. (2018). Automatic callosal fiber convergence plane computation through DTI-based divergence map. 86. 40–40. 2 indexed citations

17.

Souza, Roberto, Oeslle Lucena, Mariana Bento, et al.. (2018). Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. 5. 1344–1347. 1 indexed citations

18.

Bento, Mariana, et al.. (2017). Computational methods for corpus callosum segmentation on MRI: A systematic literature review. Computer Methods and Programs in Biomedicine. 154. 25–35. 27 indexed citations

19.

Bento, Mariana, et al.. (2017). Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging. IEEE Access. 5. 22421–22432. 8 indexed citations

20.

Rittner, Letícia, et al.. (2015). Web-based platform for collaborative medical imaging research. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180B–94180B. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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