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Mariana P Bento (formerly Mariana P Bento Leite)
Mariana P Bento (formerly Mariana P Bento Leite)
Assistant Professor - University of Calgary
Bestätigte E-Mail-Adresse bei ucalgary.ca
Titel
Zitiert von
Zitiert von
Jahr
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
2692019
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, 1-7, 2010
1012010
Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction
R Souza, M Bento, N Nogovitsyn, KJ Chung, W Loos, RM Lebel, R Frayne
Magnetic resonance imaging 71, 140-153, 2020
592020
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
452018
Deep learning in large and multi-site structural brain MR imaging datasets
M Bento, I Fantini, J Park, L Rittner, R Frayne
Frontiers in Neuroinformatics 15, 805669, 2022
342022
Etiology-based classification of brain white matter hyperintensity on magnetic resonance imaging
M Leite, L Rittner, S Appenzeller, HH Ruocco, R Lotufo
Journal of Medical Imaging 2 (1), 014002-014002, 2015
282015
V-Net and U-Net for ischemic stroke lesion segmentation in a small dataset of perfusion data
GR Pinheiro, R Voltoline, M Bento, L Rittner
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
212019
Automatic MR image quality evaluation using a Deep CNN: A reference-free method to rate motion artifacts in neuroimaging
I Fantini, C Yasuda, M Bento, L Rittner, F Cendes, R Lotufo
Computerized Medical Imaging and Graphics 90, 101897, 2021
162021
Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set
M Bento, R Souza, M Salluzzi, L Rittner, Y Zhang, R Frayne
Magnetic resonance imaging 62, 18-27, 2019
162019
Image processing techniques applied for corrosion damage analysis
MP Bento, FN de Medeiros, IC de Paula Jr, GL Ramalho
Proceedings of the XXII Brazilian Symposium on Computer Graphics and Image …, 2009
142009
Data-Driven Corpus Callosum Parcellation Method through Diffusion Tensor Imaging
G Cover, M Pereira, M Bento, S Appenzeler, L Rittner
IEEE Access, 2017
122017
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, 682-687, 2016
112016
A framework for quality control of corpus callosum segmentation in large-scale studies
WG Herrera, M Pereira, M Bento, AT Lapa, S Appenzeller, L Rittner
Journal of neuroscience methods 334, 108593, 2020
102020
WMH segmentation challenge: a texture-based classification approach
M Bento, R de Souza, R Lotufo, R Frayne, L Rittner
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
92018
Harmonization of multi-scanner in vivo magnetic resonance spectroscopy: ENIGMA consortium task group considerations
AD Harris, H Amiri, M Bento, R Cohen, CRK Ching, C Cudalbu, ...
Frontiers in Neurology 13, 1045678, 2023
62023
Corpus callosum shape signature for segmentation evaluation
WG Herrera, M Bento, L Rittner
XXVI Brazilian Congress on Biomedical Engineering: CBEB 2018, Armação de …, 2019
62019
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
62018
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
62011
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
52018
Probabilistic segmentation of brain white matter lesions using texture-based classification
M Bento, Y Sym, R Frayne, R Lotufo, L Rittner
Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017
52017
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