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Guilherme Botazzo Rozendo
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2020 – today
- 2024
- [j5]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) - [c11]Pedro Lucas Miguel, Alessandra Lumini, Giuliano Cardozo Medalha, Guilherme Freire Roberto, Guilherme Botazzo Rozendo, Adriano Mauro Cansian, Thaína A. A. Tosta, Marcelo Zanchetta do Nascimento, Leandro Alves Neves:
Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images. ICEIS (1) 2024: 456-464 - [c10]Guilherme Botazzo Rozendo, Alessandra Lumini, Guilherme Freire Roberto, Thaína Aparecida Azevedo Tosta, Marcelo Zanchetta do Nascimento, Leandro Alves Neves:
X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence. ICEIS (1) 2024: 674-681 - 2023
- [c9]Danilo Cesar Pereira, Leonardo C. Longo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Guilherme Freire Roberto, Alessandra Lumini, Leandro Alves Neves, Marcelo Zanchetta do Nascimento:
Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images. CBMS 2023: 495-500 - [c8]Adriano Barbosa-Silva, Guilherme Botazzo Rozendo, Thaína A. A. Tosta, Alessandro Santana Martins, Adriano M. Loyola, Sérgio V. Cardoso, Alessandra Lumini, Leandro Alves Neves
, Paulo Rogério de Faria, Marcelo Zanchetta do Nascimento:
CNN Ensembles for Nuclei Segmentation on Histological Images of OED. CBMS 2023: 601-604 - [c7]Guilherme Freire Roberto, Danilo Cesar Pereira, Alessandro Santana Martins, Thaína A. A. Tosta, Carlos Soares, Alessandra Lumini, Guilherme Botazzo Rozendo, Leandro Alves Neves
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification. CIARP 2023: 163-177 - [c6]Guilherme Botazzo Rozendo
Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy. CIARP 2023: 229-243 - [c5]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 - [c4]Pedro Lucas Miguel, Adriano Mauro Cansian, Guilherme Botazzo Rozendo
An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19. ICEIS (1) 2023: 675-682 - 2022
- [j4]Guilherme Botazzo Rozendo
Classification of non-Hodgkin lymphomas based on sample entropy signatures. Expert Syst. Appl. 202: 117238 (2022) - [j3]Guilherme Botazzo Rozendo
Sample Entropy Signatures: A new way to interpret SampEn values. Softw. Impacts 13: 100329 (2022) - [j2]Guilherme Freire Roberto
Percolation Features: An approach for evaluating fractal properties in colour images. Softw. Impacts 14: 100387 (2022) - [c3]Luiz Fernando Segato dos Santos, Guilherme Botazzo Rozendo
Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images. IWSSIP 2022: 1-4 - 2020
- [c2]David Candelero, Guilherme Freire Roberto, Marcelo Zanchetta do Nascimento
Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images. BIBM 2020: 2709-2716 - [c1]Jaqueline Junko Tenguam
Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images. BIBM 2020: 2833-2839
2010 – 2019
- 2018
- [j1]Luiz Fernando Segato dos Santos, Leandro Alves Neves
Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer. Comput. Biol. Medicine 103: 148-160 (2018)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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