Mariana P Bento (formerly Mariana P Bento Leite)
Mariana P Bento (formerly Mariana P Bento Leite)
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O foco narrativo
L Chiappini, M Leite
São Paulo: Editora Ática,, 1997
On the evaluation of texture and color features for nondestructive corrosion detection
FNS Medeiros, GLB Ramalho, MP Bento, LCL Medeiros
EURASIP Journal on Advances in Signal Processing 2010 (1), 817473, 2010
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
HJ Kuijf, JM Biesbroek, J De Bresser, R Heinen, S Andermatt, M Bento, ...
IEEE transactions on medical imaging 38 (11), 2556-2568, 2019
Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging
M Leite, L Rittner, S Appenzeller, HH Ruocco, RA Lotufo
Journal of Medical Imaging 2 (1), 014002, 2015
Computational methods for corpus callosum segmentation on MRI: A systematic literature review
GS Cover, WG Herrera, MP Bento, S Appenzeller, L Rittner
Computer methods and programs in biomedicine 154, 25-35, 2018
Image processing techniques applied for corrosion damage analysis
MP Bento, FNS de Medeiros, IC de Paula Jr, GL Ramalho
Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image …, 2009
Universidade Federal do Ceará
MP Bento, FNS De Medeiros, IC De Paula, GLB Ramalho
3D texture-based classification applied on brain white matter lesions on MR images
M Leite, D Gobbi, M Salluzi, R Frayne, R Lotufo, L Rittner
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 97852N, 2016
Web-based platform for collaborative medical imaging research
L Rittner, MP Bento, AL Costa, RM Souza, RC Machado, RA Lotufo
Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and …, 2015
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study
R Souza, O Lucena, M Bento, J Garrafa, S Appenzeller, L Rittner, R Lotufo, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Normal brain aging: Prediction of age, sex and white matter hyperintensities using a mr image-based machine learning technique
M Bento, R Souza, M Salluzzi, R Frayne
International Conference Image Analysis and Recognition, 538-545, 2018
Wmh segmentation challenge: A texture-based classification approach
M Bento, R de Souza, R Lotufo, R Frayne, L Rittner
International MICCAI Brainlesion Workshop, 489-500, 2017
Analysis of brain white matter hyperintensities using pattern recognition techniques
M Bento, L Rittner, S Appenzeller, A Lapa, R Lotufo
Medical Imaging 2013: Image Processing 8669, 86693P, 2013
Adessowiki: Collaborative Scientific Programming Environment
L Rittner, AV Saude, AG Silva, RC Machado, MP Bento, RA Lotufo
2011 24th SIBGRAPI Conference on Graphics, Patterns, and Images Tutorials, 56-62, 2011
THU0335 Support vector machines classification of texture parameters of white matter lesions in childhood-onset systemic lupus erythematosus. Possible mechanism to distinguish …
AT Lapa, MP Bento, L Rittner, HH Ruocco, G Castellano, BP Damasceno, ...
Annals of the Rheumatic Diseases 71 (Suppl 3), 269-269, 2013
Texture descriptors and pattern recognition classifiers based analysis of white matter hyperintensity in MR images
M Bento, L Rittner, R Lotufo, S Appenzeller
Proceedings of Workshop of Theses and Dissertations in SIBGRAPI 2013, 2013
Analysis of brain white matter hyperintensities
M Bento, L Rittner, R Lotufo, S Appenzeller
Proceedings of the XXV Conference on Graphics, Patterns and Images-Workshop …, 2012
Corpus Callosum Shape Signature for Segmentation Evaluation
WG Herrera, M Bento, L Rittner
XXVI Brazilian Congress on Biomedical Engineering, 143-147, 2019
Multicenter imaging studies: Automated approach to evaluating data variability and the role of outliers
M Bento, R Souza, R Frayne
2018 31st SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2018
Probabilistic segmentation of brain white matter lesions using texture-based classification
M Bento, Y Sym, R Frayne, R Lotufo, L Rittner
International Conference Image Analysis and Recognition, 71-78, 2017
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