| 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 | 320 | 2018 |
| Nearest neighbors distance ratio open-set classifier PR Mendes Júnior, RM De Souza, RO Werneck, BV Stein, DV Pazinato, ... Machine Learning 106 (3), 359-386, 2017 | 257 | 2017 |
| 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 | 211 | 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 | 150 | 2016 |
| Deep learning for diagnosis and classification of faults in industrial rotating machinery RM Souza, EGS Nascimento, UA Miranda, WJD Silva, HA Lepikson Computers & Industrial Engineering 153, 107060, 2021 | 145 | 2021 |
| Transfer learning using convolutional neural networks for face anti-spoofing O Lucena, A Junior, V Moia, R Souza, E Valle, R Lotufo Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 145 | 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 | 76 | 2016 |
| 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 | 71 | 2019 |
| A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction R Souza, R Frayne arXiv, 2018 | 70 | 2018 |
| 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 | 68 | 2019 |
| 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 | 65 | 2020 |
| Hippocampal tail volume as a predictive biomarker of antidepressant treatment outcomes in patients with major depressive disorder: a CAN-BIND report N Nogovitsyn, M Muller, R Souza, S Hassel, SR Arnott, AD Davis, GB Hall, ... Neuropsychopharmacology 45 (2), 283-291, 2020 | 51 | 2020 |
| Childhood trauma and amygdala nuclei volumes in youth at risk for mental illness N Nogovitsyn, J Addington, R Souza, TJ Placsko, J Stowkowy, JL Wang, ... Psychological Medicine 52 (6), 1192-1199, 2022 | 40 | 2022 |
| 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 | 37 | 2014 |
| 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 | 34 | 2019 |
| Multi-coil mri reconstruction challenge—assessing brain mri reconstruction models and their generalizability to varying coil configurations Y Beauferris, J Teuwen, D Karkalousos, N Moriakov, M Caan, G Yiasemis, ... Frontiers in neuroscience 16, 919186, 2022 | 33* | 2022 |
| A survey on RGB-D datasets A Lopes, R Souza, H Pedrini Computer Vision and Image Understanding 222, 103489, 2022 | 27 | 2022 |
| 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 | 26 | 2018 |
| 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 | 25 | 2012 |
| 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 | 16 | 2016 |
Leticia RittnerAssociate Professor, School of Electrical and Computer Engineering, University of Campinas (UNICAMP)Verified email at dca.fee.unicamp.br
