| Classification of glomerular hypercellularity using convolutional features and support vector machine P Chagas, L Souza, I Araújo, N Aldeman, A Duarte, M Angelo, ... Artificial Intelligence in Medicine 103, 101808, 2020 | 71 | 2020 |
| Evaluation of convolutional neural network architectures for chart image classification P Chagas, R Akiyama, A Meiguins, C Santos, F Saraiva, B Meiguins, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 37 | 2018 |
| A Real-World Approach on the Problem of Chart Recognition Using Classification, Detection and Perspective Correction T Araújo, P Chagas, J Alves, C Santos, B Sousa Santos, ... Sensors 20 (16), 4370, 2020 | 20 | 2020 |
| Architecture proposal for data extraction of chart images using Convolutional Neural Network P Chagas, A Freitas, R Daisuke, B Miranda, TDO De Araújo, C Santos, ... 2017 21st International Conference Information Visualisation (IV), 318-323, 2017 | 17 | 2017 |
| Boundary-aware glomerulus segmentation: Toward one-to-many stain generalization J Silva, L Souza, P Chagas, R Calumby, B Souza, I Pontes, A Duarte, ... Computerized Medical Imaging and Graphics 100, 102104, 2022 | 11 | 2022 |
| RECOGNIZING AND EXPLORING AZULEJOS ON HISTORIC BUILDINGS’FACADES BY COMBINING COMPUTER VISION AND GEOLOCATION IN MOBILE AUGMENTED REALITY APPLICATIONS CGR Santos, TDO Araújo, PRC JUNIOR, BS MEIGUINS Journal of Mobile Multimedia, 057-074, 2017 | 10 | 2017 |
| Uncertainty-aware membranous nephropathy classification: A Monte-Carlo dropout approach to detect how certain is the model P Chagas, L Souza, I Pontes, R Calumby, M Angelo, A Duarte, ... Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2022 | 4 | 2022 |
| Deep-learning-based membranous nephropathy classification and Monte-Carlo dropout uncertainty estimation P Chagas, L Souza, I Pontes, R Calumby, M Angelo, A Duarte, ... Anais do XXI Simpósio Brasileiro de Computação Aplicada à Saúde, 257-268, 2021 | 3 | 2021 |
| A new strategy based on feature selection for fault classification in transmission lines M Homci, P Chagas, B Miranda, J Freire, R Viégas, Y Pires, B Meiguins, ... Advances in Artificial Intelligence-IBERAMIA 2016: 15th Ibero-American …, 2016 | 3 | 2016 |
| Toward unbounded open-set recognition to say" I don't know" for glomerular multi-lesion classification P Chagas, L Souza, R Calumby, I Pontes, S Araújo, A Duarte, ... 17th International Symposium on Medical Information Processing and Analysis …, 2021 | 2 | 2021 |
| Synthetic Chart Image Generator: An Application for Generating Chart Image Datasets R Akiyama, TD Araújo, P Chagas, B Miranda, C Santos, J Morais, ... 2018 22nd International Conference Information Visualisation (IV), 128-132, 2018 | 2 | 2018 |
| PathoSpotter: computational intelligence applied to nephropathology L Oliveira, P Chagas, A Duarte, R Calumby, E Santos, M Angelo, ... Innovations in Nephrology: Breakthrough Technologies in Kidney Disease Care …, 2022 | 1 | 2022 |
| How feasible is it to segment human glomerulus with a model trained on mouse histology images? L Souza, J Silva, P Chagas, A Duarte, WLC dos-Santos, L Oliveira Anais do XXII Simpósio Brasileiro de Computação Aplicada à Saúde, 449-460, 2022 | 1 | 2022 |
| Analyzing the benefits of the combined interaction of head and eye tracking in 3D visualization information AA Freitas, TDO Araújo, PRSC Junior, BP Miranda, BAF Murakami, ... Proceedings of the XVI Brazilian Symposium on Human Factors in Computing …, 2017 | 1 | 2017 |
| Mouse-to-human transfer learning for glomerulus segmentation L Souza, J Silva, P Chagas, A Duarte, WLC Santos, L Oliveira Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2023 | | 2023 |
| Avaliação de arquiteturas de Redes Neurais Convolucionais para classificação de imagens de gráficos PRSC JÚNIOR | | |
Luciano Rebouças de OliveiraInstitute of Computing (IC), Computer Science Dept, Federal University of Bahia在 ufba.br 的电子邮件经过验证
