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Paulo Rogério de Faria
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2020 – today
- 2024
- [j19]Leonardo Henrique Da Costa Longo
, Guilherme Freire Roberto
Classification of Multiple H&E Images via an Ensemble Computational Scheme. Entropy 26(1): 34 (2024) - [j18]Thaína Aparecida Azevedo Tosta
Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images. Pattern Anal. Appl. 27(1): 11 (2024) - [j17]João Manoel Cardoso Martinez, Leandro Alves Neves, Leonardo Henrique Da Costa Longo, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Adriano Barbosa-Silva, Marcelo Zanchetta do Nascimento:
Exploring DeepDream and XAI Representations for Classifying Histological Images. SN Comput. Sci. 5(4): 362 (2024) - [c14]Thales R. S. Lopes, Guilherme Freire Roberto, Carlos Soares, Thaína A. A. Tosta, Adriano Barbosa-Silva, Adriano M. Loyola, Sérgio V. Cardoso, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento, Leandro Alves Neves:
Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. VISIGRAPP (2): VISAPP 2024: 441-447 - [c13]Vitor B. L. Fernandes, Adriano Barbosa-Silva, Danilo Cesar Pereira, Sérgio V. Cardoso, Paulo Rogério de Faria, Adriano M. Loyola, Thaína A. A. Tosta, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral. VISIGRAPP (3): VISAPP 2024: 516-523 - [c12]Rafael H. de O. Carvalho, Adriano Barbosa-Silva, Alessandro Santana Martins, Sérgio V. Cardoso, Guilherme Freire Roberto, Paulo Rogério de Faria, Adriano M. Loyola, Thaína A. A. Tosta, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks. VISIGRAPP (3): VISAPP 2024: 524-531 - 2023
- [j16]Thaína Aparecida Azevedo Tosta
A stain color normalization with robust dictionary learning for breast cancer histological images processing. Biomed. Signal Process. Control. 85: 104978 (2023) - [j15]Dalí F. D. dos Santos
Influence of Data Augmentation Strategies on the Segmentation of Oral Histological Images Using Fully Convolutional Neural Networks. J. Digit. Imaging 36(4): 1608-1623 (2023) - [c11]Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves
CNN Ensembles for Nuclei Segmentation on Histological Images of OED. CBMS 2023: 601-604 - [c10]Leandro Alves Neves, João Manuel Cardoso Martinez, Leonardo Henrique Da Costa Longo
Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers. ICEIS (1) 2023: 354-364 - [i1]Dalí F. D. dos Santos, Paulo Rogério de Faria, Adriano M. Loyola, Sérgio V. Cardoso, Bruno A. N. Travençolo
Hematoxylin and eosin stained oral squamous cell carcinoma histological images dataset. CoRR abs/2303.10172 (2023) - 2022
- [j14]Adriano Barbosa-Silva
Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections. Expert Syst. Appl. 193: 116456 (2022) - [j13]Guilherme Botazzo Rozendo
Classification of non-Hodgkin lymphomas based on sample entropy signatures. Expert Syst. Appl. 202: 117238 (2022) - [j12]Guilherme Botazzo Rozendo
Sample Entropy Signatures: A new way to interpret SampEn values. Softw. Impacts 13: 100329 (2022) - [j11]Guilherme Freire Roberto
Percolation Features: An approach for evaluating fractal properties in colour images. Softw. Impacts 14: 100387 (2022) - [c9]Jaqueline Junko Tenguam
Classification of H&E images exploring ensemble learning with two-stage feature selection. IWSSIP 2022: 1-4 - [c8]Danilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Classification of lymphomas images with polynomial strategy: An application with Ridge regularization. SIBGRAPI 2022: 258-263 - [c7]Adriano Barbosa-Silva, Cléber I. De Oliveira, Danilo Cesar Pereira, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Paulo Rogério de Faria, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading. SIBGRAPI 2022: 264-269 - 2021
- [j10]Dalí F. D. dos Santos, Paulo Rogério de Faria, Bruno A. N. Travençolo
Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks. Biomed. Signal Process. Control. 69: 102921 (2021) - [j9]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Leandro Alves Neves
Evaluation of statistical and Haralick texture features for lymphoma histological images classification. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 613-624 (2021) - [j8]Alessandro Santana Martins
A Hermite polynomial algorithm for detection of lesions in lymphoma images. Pattern Anal. Appl. 24(2): 523-535 (2021) - 2020
- [c6]Adriano Barbosa-Silva, Dalí F. D. dos Santos, Thaína A. A. Tosta, Alessandro Santana Martins, Leandro Alves Neves
Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization. BIBM 2020: 2818-2824 - [c5]Dalí F. D. dos Santos, Thaína A. A. Tosta, Adriano Barbosa-Silva, Paulo Rogério de Faria, Bruno A. N. Travençolo
Automated Nuclei Segmentation on Dysplastic Oral Tissues Using CNN. IWSSIP 2020: 45-50
2010 – 2019
- 2019
- [j7]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria
Computational normalization of H&E-stained histological images: Progress, challenges and future potential. Artif. Intell. Medicine 95: 118-132 (2019) - [j6]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Leandro Alves Neves
Color normalization of faded H&E-stained histological images using spectral matching. Comput. Biol. Medicine 111 (2019) - [j5]Guilherme Freire Roberto
Classification of breast and colorectal tumors based on percolation of color normalized images. Comput. Graph. 84: 134-143 (2019) - [j4]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria
Unsupervised method for normalization of hematoxylin-eosin stain in histological images. Comput. Medical Imaging Graph. 77 (2019) - [c4]Alessandro Santana Martins, Leandro Alves Neves
Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images. CIARP 2019: 262-271 - [c3]Adriano Barbosa-Silva
Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks. CIARP 2019: 365-374 - 2018
- [j3]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria, Valério Ramos Batista, Leandro Alves Neves
Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images. Appl. Soft Comput. 64: 49-58 (2018) - [c2]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria
Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm. EvoApplications 2018: 47-62 - 2017
- [j2]Guilherme Freire Roberto
Features based on the percolation theory for quantification of non-Hodgkin lymphomas. Comput. Biol. Medicine 91: 135-147 (2017) - [j1]Thaína Aparecida Azevedo Tosta, Paulo Rogério de Faria
Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm. Expert Syst. Appl. 81: 223-243 (2017) - [c1]Thaína Aparecida Azevedo Tosta, Marcelo Zanchetta do Nascimento
Application of Evolutionary Algorithms on Unsupervised Segmentation of Lymphoma Histological Images. CBMS 2017: 89-94
Coauthor Index
aka: Leonardo C. Longo
aka: Thaína Aparecida Azevedo Tosta
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