Roberto Souza
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New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation, sparse …
P Ghamisi, E Maggiori, S Li, R Souza, Y Tarablaka, G Moser, A De Giorgi, ...
IEEE geoscience and remote sensing magazine 6 (3), 10-43, 2018
Extinction profiles for the classification of remote sensing data
P Ghamisi, R Souza, JA Benediktsson, XX Zhu, L Rittner, RA Lotufo
IEEE Transactions on Geoscience and Remote Sensing 54 (10), 5631-5645, 2016
Nearest neighbors distance ratio open-set classifier
PRM Júnior, RM De Souza, RO Werneck, BV Stein, DV Pazinato, ...
Machine Learning 106 (3), 359-386, 2017
Transfer learning using convolutional neural networks for face anti-spoofing
O Lucena, A Junior, V Moia, R Souza, E Valle, R Lotufo
International Conference Image Analysis and Recognition, 27-34, 2017
Hyperspectral data classification using extended extinction profiles
P Ghamisi, R Souza, JA Benediktsson, L Rittner, R Lotufo, XX Zhu
IEEE Geoscience and Remote Sensing Letters 13 (11), 1641-1645, 2016
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement
R Souza, O Lucena, J Garrafa, D Gobbi, M Saluzzi, S Appenzeller, ...
NeuroImage 170, 482-494, 2018
A comparison between k-Optimum Path Forest and k-Nearest Neighbors supervised classifiers
R Souza, L Rittner, R Lotufo
Pattern recognition letters 39, 2-10, 2014
A comparison between optimum-path forest and k-nearest neighbors classifiers
R Souza, R Lotufo, L Rittner
2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 260-267, 2012
A hybrid, dual domain, cascade of convolutional neural networks for magnetic resonance image reconstruction
R Souza, RM Lebel, R Frayne
International Conference on Medical Imaging with Deep Learning, 437-446, 2019
A comparison between extinction filters and attribute filters
R Souza, L Rittner, R Machado, R Lotufo
International Symposium on Mathematical Morphology and Its Applications to …, 2015
Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants
N Nogovitsyn, R Souza, M Muller, A Srajer, S Hassel, SR Arnott, AD Davis, ...
NeuroImage 197, 589-597, 2019
An array-based node-oriented max-tree representation
R Souza, L Rittner, R Lotufo, R Machado
2015 IEEE International Conference on Image Processing, 2015
Maximal max-tree simplification
R Souza, L Rittner, R Machado, R Lotufo
2014 22nd International Conference on Pattern Recognition, 3132-3137, 2014
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction
R Souza, R Frayne
arXiv, 2018
Silver standard masks for data augmentation applied to deep-learning-based skull-stripping
O Lucena, R Souza, L Rittner, R Frayne, R Lotufo
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
Interactive max-tree visualization tool for image processing and analysis
L Tavares, R Souza, L Rittner, R Machado, R Lotufo
IEEE, 2015
Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks
O Lucena, R Souza, L Rittner, R Frayne, R Lotufo
Artificial intelligence in medicine 98, 48-58, 2019
iamxt: Max-tree toolbox for image processing and analysis
R Souza, L Rittner, R Machado, R Lotufo
SoftwareX 6, 81-84, 2017
An overview of max-tree principles, algorithms and applications
R Souza, L Tavares, L Rittner, R Lotufo
2016 29th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials …, 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
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