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Employment (2)

University of Calgary: Calgary, AB, CA

2021-07-01 to present | Assistant Professor (Biomedical Engineering and Electrical and Software Engineering)
Employment
Source: Self-asserted source
Mariana Bento

University of Calgary: Calgary, AB, CA

2017-06-03 to present | PostDoctoral Fellow (Radiology)
Employment
Source: Self-asserted source
Mariana Bento

Education and qualifications (2)

State University of Campinas: Campinas, BR

2013-02-01 to 2016-12-22 | PhD (Electrical and Computer Engeenering)
Education
Source: Self-asserted source
Mariana Bento

State University of Campinas: Campinas, BR

2011-02-01 to 2013-02-04 | Master (Electrical and Computer Engeneering)
Education
Source: Self-asserted source
Mariana Bento

Funding (5)

Increasing the scanning time efficiency of magnetic resonance imaging systems through data integration and deep learning

2022-04-01 to 2023-03-31 | Grant
Natural Sciences and Engineering Research Council (Ottawa, CA)
URL: https://app.dimensions.ai/details/grant/grant.13588123
GRANT_NUMBER: grant.13588123
Source: Self-asserted source
Mariana Bento via DimensionsWizard

Machine Learning for Heterogeneous Brain Magnetic Resonance Imaging: Bridging the Gap to Generalizable Models

2022-04-01 to 2023-03-31 | Grant
Natural Sciences and Engineering Research Council (Ottawa, CA)
URL: https://app.dimensions.ai/details/grant/grant.13589399
GRANT_NUMBER: grant.13589399
Source: Self-asserted source
Mariana Bento via DimensionsWizard

Machine Learning for Heterogeneous Brain Magnetic Resonance Imaging: Bridging the Gap to Generalizable Models

2022-04-01 to 2023-03-31 | Grant
Natural Sciences and Engineering Research Council (Ottawa, CA)
URL: https://app.dimensions.ai/details/grant/grant.13598549
GRANT_NUMBER: grant.13598549
Source: Self-asserted source
Mariana Bento via DimensionsWizard

Machine learning analysis of white matter hyperintensity origin

2018-10-01 to 2019-09-30 | Grant
Canadian Institutes of Health Research (Ottawa, CA)
URL: https://app.dimensions.ai/details/grant/grant.8461315
GRANT_NUMBER:

grant.8461315
Source: Self-asserted source
Mariana Bento via DimensionsWizard

Brain Abnormality Quantification in MR Multi-Center Datasets using Machine Learning

2017-06 to 2019-06 | Award
Hotchkiss Brain Institute, University of Calgary (AB, AB, CA)
Source: Self-asserted source
Mariana Bento

Works (22)

A voxel-level approach to brain age prediction: A method to assess regional brain aging

Machine Learning for Biomedical Imaging
2024-04-25 | Journal article
DOI: 10.59275/j.melba.2024-4dg2
Contributors: Neha Gianchandani; Mahsa Dibaji; Johanna Ospel; Fernando Vega; Mariana Bento; M. Ethan MacDonald; Roberto Souza
Source: check_circle
Crossref

Studying the Effects of Sex-Related Differences on Brain Age Prediction Using Brain MR Imaging

2023 | Book chapter
DOI: 10.1007/978-3-031-45249-9_20
Contributors: Mahsa Dibaji; Neha Gianchandani; Akhil Nair; Mansi Singhal; Roberto Souza; Mariana Bento
Source: check_circle
Crossref

Supervised domain adaptation approach on heterogenous, multi-center MR imaging datasets

17th International Symposium on Medical Information Processing and Analysis
2021-12-10 | Conference paper
DOI: 10.1117/12.2605994
Source: Self-asserted source
Mariana Bento

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
2021-03-11 | Journal article
DOI: 10.1016/j.compmedimag.2021.101897
PMID: 33770561
Source: Self-asserted source
Mariana Bento

Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction.

Magnetic resonance imaging
2020-06-17 | Journal article
DOI: 10.1016/j.mri.2020.06.002
PMID: 32562744
Source: Self-asserted source
Mariana Bento

A framework for quality control of corpus callosum segmentation in large-scale studies.

Journal of neuroscience methods
2020-01-20 | Journal article
DOI: 10.1016/j.jneumeth.2020.108593
PMID: 31972183
Source: Self-asserted source
Mariana Bento

Quality Control Framework for Large MR Datasets: Automated Approaches to Outlier Detection

2019 | Book chapter
DOI: 10.1007/978-981-13-2517-5_59
Contributors: Mariana Bento; Roberto Souza; Marina Salluzzi; Richard Frayne
Source: check_circle
Crossref

Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Magnetic resonance imaging
2019-06-19 | Journal article
DOI: 10.1016/j.mri.2019.06.007
PMID: 31228556
Source: Self-asserted source
Mariana Bento

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.

IEEE transactions on medical imaging
2019-03-19 | Journal article
DOI: 10.1109/tmi.2019.2905770
PMID: 30908194
PMC: PMC7590957
Source: Self-asserted source
Mariana Bento

Reliability of computer-aided diagnosis tools with multi-center MR datasets: impact of training protocol

Medical Imaging 2019: Computer-Aided Diagnosis
2019-03-13 | Conference paper
DOI: 10.1117/12.2512819
Source: Self-asserted source
Mariana Bento

Corpus Callosum 2D Segmentation on Diffusion Tensor Imaging Using Growing Neural Gas Network

VipIMAGE 2017
2018 | Book chapter
DOI: 10.1007/978-3-319-68195-5_23
Part of ISSN: 2212-9391
Part of ISSN: 2212-9413
Source: Self-asserted source
Mariana Bento

Normal Brain Aging: Prediction of Age, Sex and White Matter Hyperintensities Using a MR Image-Based Machine Learning Technique

Lecture Notes in Computer Science
2018 | Book chapter
DOI: 10.1007/978-3-319-93000-8_61
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Mariana Bento
grade
Preferred source (of 2)‎

WMH Segmentation Challenge: A Texture-Based Classification Approach

2018 | Book chapter
DOI: 10.1007/978-3-319-75238-9_41
Contributors: Mariana Bento; Roberto de Souza; Roberto Lotufo; Richard Frayne; Letícia Rittner
Source: check_circle
Crossref

Multicenter Imaging Studies: Automated Approach to Evaluating Data Variability and the Role of Outliers

2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
2018-10 | Conference paper
DOI: 10.1109/sibgrapi.2018.00030
Source: Self-asserted source
Mariana Bento

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
2018-04 | Conference paper
DOI: 10.1109/isbi.2018.8363820
Source: Self-asserted source
Mariana Bento

Automatic callosal fiber convergence plane computation through DTI-based divergence map

Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
2018-03-12 | Conference paper
DOI: 10.1117/12.2293381
Source: Self-asserted source
Mariana Bento

Data-Driven Corpus Callosum Parcellation Method Through Diffusion Tensor Imaging

IEEE Access
2017 | Journal article
DOI: 10.1109/access.2017.2761701
Part of ISSN: 2169-3536
Source: Self-asserted source
Mariana Bento

Computational methods for corpus callosum segmentation on MRI: A systematic literature review.

Computer methods and programs in biomedicine
2017-11-08 | Journal article
DOI: 10.1016/j.cmpb.2017.10.025
PMID: 29249344
Source: Self-asserted source
Mariana Bento

Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging.

Journal of medical imaging (Bellingham, Wash.)
2015-01-01 | Journal article
DOI: 10.1117/1.jmi.2.1.014002
PMID: 26158080
PMC: PMC4478861
Source: Self-asserted source
Mariana Bento

On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection

EURASIP Journal on Advances in Signal Processing
2010-12 | Journal article
DOI: 10.1155/2010/817473
Part of ISSN: 1687-6180
Source: Self-asserted source
Mariana Bento

Análise de lesões na substância branca do cérebro a partir de imagens de ressonância magnética

Dissertation or Thesis
DOI: 10.47749/t/unicamp.2013.905932
Contributors: Mariana Pinheiro Bento
Source: Self-asserted source
Mariana Bento via Crossref Metadata Search

Automatic identification and characterization of white matter lesions in the brain using volumetric magnetic resonance images

Dissertation or Thesis
DOI: 10.47749/t/unicamp.2016.979535
Contributors: Mariana Pinheiro Bento
Source: Self-asserted source
Mariana Bento via Crossref Metadata Search

Peer review (7 reviews for 3 publications/grants)

Review activity for Computers in biology and medicine. (3)
Review activity for Heliyon. (1)
Review activity for NeuroImage. (3)
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