The Storage System for a Multimedia Data Manager Kernel. - Carlos Roberto Valêncio; Fabio Renato de Almeida; José Marcio Machado; Angelo Cesar Colombini; Leandro Alves Neves; Rogéria Cristiane Gratão de Souza (PDCAT, 2013)

Classification of masses in mammographic image using wavelet domain features and polynomial classifier. - Marcelo Zanchetta do Nascimento; Alessandro Santana Martins; Leandro Alves Neves; Rodrigo Pereira Ramos; Edna Lúcia Flôres; Gilberto Arantes Carrijo (Expert Syst. Appl., 2013)

Unsupervised segmentation method for cuboidal cell nuclei in histological prostate images based on minimum cross entropy. - Domingos Lucas Latorre de Oliveira; Marcelo Zanchetta do Nascimento; Leandro Alves Neves; Moacir Fernandes de Godoy; Pedro Francisco Ferraz de Arruda; Dalisio de Santi Neto (Expert Syst. Appl., 2013)

Free Tools and Strategies for the Generation of 3D Finite Element Meshes: Modeling of the Cardiac Structures. - Eduardo Pavarino; Leandro Alves Neves; José Marcio Machado; Moacir Fernandes de Godoy; Y. Shiyou; Julio Cesar Momente; Geraldo F. D. Zafalon; Alex R. Pinto; Carlos Roberto Valêncio (Int. J. Biomed. Imaging, 2013)

Multi-scale lacunarity as an alternative to quantify and diagnose the behavior of prostate cancer. - Leandro Alves Neves; Marcelo Zanchetta do Nascimento; Domingos Lucas Latorre de Oliveira; Alessandro Santana Martins; Moacir Fernandes de Godoy; Pedro Francisco Ferraz de Arruda; Dalisio de Santi Neto; José Marcio Machado (Expert Syst. Appl., 2014)

Multiscale Tetrahedral Meshes for FEM Simulations of Esophageal Injury. - Leandro Alves Neves; Eduardo Pavarino; M. P. Souza; Carlos Roberto Valêncio; Geraldo F. D. Zafalon; Marcelo Zanchetta do Nascimento; Thaína A. A. Tosta (CBMS, 2015)

Unsupervised Segmentation of Leukocytes Images Using Thresholding Neighborhood Valley-Emphasis. - Thaína Aparecida Azevedo Tosta; Andressa Finzi de Abreu; Bruno Augusto Nassif Travençolo; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (CBMS, 2015)

OntoSDM: An Approach to Improve Quality on Spatial Data Mining Algorithms. - Carlos Roberto Valêncio; Diogo Lemos Guimaraes; Geraldo F. D. Zafalon; Leandro Alves Neves; Angelo Cesar Colombini (SOFSEM, 2015)

Performance Improvement of Genetic Algorithm for Multiple Sequence Alignment. - Anderson Rici Amorim; Joao Matheus Verdadeiro Visotaky; Allan De Godoi Contessoto; Leandro Alves Neves; Rogéria Cristiane Gratão de Souza; Carlos Roberto Valêncio; Geraldo Francisco Donegá Zafalon (PDCAT, 2016)

Tetrahedral Mesh Segmentation Based on Quality Criteria. - Leandro Alves Neves; Eduardo Pavarino; Andre Felipe Cintra; Geraldo Francisco Donegá Zafalon; Marcelo Zanchetta do Nascimento; Carlos Roberto Valêncio (PDCAT, 2016)

CHSMST+: An Algorithm for Spatial Clustering. - Carlos Roberto Valêncio; Camila Alves de Medeiros; Leandro Alves Neves; Geraldo Francisco Donegá Zafalon; Rogéria Cristiane Gratão de Souza; Angelo Cesar Colombini (PDCAT, 2016)

A Configurable Strategy for Extraction, Transformation and Load to Support Data Propagation on Active Data Warehouses. - Carlos Roberto Valêncio; Paulo Scarpelini Neto; Leandro Alves Neves; Geraldo Francisco Donegá Zafalon; Rogéria Cristiane Gratão de Souza; Angelo Cesar Colombini (PDCAT, 2016)

Method Based on Triangulation for Sensor Deployment on 3D Surfaces. - Renan Nespolo; Leandro Alves Neves; Guilherme Freire Roberto; Matheus Gonçalves Ribeiro; Marcelo Zanchetta do Nascimento; Adriano M. Cansian (SIBGRAPI, 2016)

LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues. - Daniel O. Tambasco Bruno; Marcelo Zanchetta do Nascimento; Rodrigo Pereira Ramos; Valério Ramos Batista; Leandro Alves Neves; Alessandro Santana Martins (Expert Syst. Appl., 2016)

Application of Evolutionary Algorithms on Unsupervised Segmentation of Lymphoma Histological Images. - Thaína Aparecida Azevedo Tosta; Marcelo Zanchetta do Nascimento; Paulo Rogério de Faria; Leandro Alves Neves (CBMS, 2017)

An Efficient Parallel Optimization for Co-Authorship Network Analysis. - Carlos Roberto Valêncio; José Carlos De Freitas; Rogéria Cristiane Gratão de Souza; Leandro Alves Neves; Geraldo Francisco Donegá Zafalon; Angelo Cesar Colombini; William Tenório (PDCAT, 2017)

Features based on the percolation theory for quantification of non-Hodgkin lymphomas. - Guilherme Freire Roberto; Leandro Alves Neves; Marcelo Zanchetta do Nascimento; Thaína Aparecida Azevedo Tosta; Leonardo C. Longo; Alessandro Santana Martins; Paulo Rogério de Faria (Comput. Biol. Medicine, 2017)

Exploring polynomial classifier to predict match results in football championships. - Rodrigo G. Martins; Alessandro Santana Martins; Leandro Alves Neves; Luciano Vieira Lima; Edna Lúcia Flôres; Marcelo Zanchetta do Nascimento (Expert Syst. Appl., 2017)

Computational method for unsupervised segmentation of lymphoma histological images based on fuzzy 3-partition entropy and genetic algorithm. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Expert Syst. Appl., 2017)

Fitness Functions Evaluation for Segmentation of Lymphoma Histological Images Using Genetic Algorithm. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (EvoApplications, 2018)

Analysis of the Influence of Color Normalization in the Classification of Non-Hodgkin Lymphoma Images. - Matheus Gonçalves Ribeiro; Leandro Alves Neves; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (SIBGRAPI, 2018)

Using wavelet sub-band and fuzzy 2-partition entropy to segment chronic lymphocytic leukemia images. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Valério Ramos Batista; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Appl. Soft Comput., 2018)

An approach for COFFEE objective function to global DNA multiple sequence alignment. - Anderson Rici Amorim; Leandro Alves Neves; Carlos Roberto Valêncio; Guilherme Freire Roberto; Geraldo Francisco Donegá Zafalon (Comput. Biol. Chem., 2018)

Multidimensional and fuzzy sample entropy (SampEnMF) for quantifying H&E histological images of colorectal cancer. - Luiz Fernando Segato dos Santos; Leandro Alves Neves; Guilherme Botazzo Rozendo; Matheus Gonçalves Ribeiro; Marcelo Zanchetta do Nascimento; Thaína Aparecida Azevedo Tosta (Comput. Biol. Medicine, 2018)

Lymphoma images analysis using morphological and non-morphological descriptors for classification. - Marcelo Zanchetta do Nascimento; Alessandro Santana Martins; Thaína Aparecida Azevedo Tosta; Leandro Alves Neves (Comput. Methods Programs Biomed., 2018)

Exploring Mesh Generation and Quality Enhancement with Open Source Codes. - Leandro Alves Neves; José Marcio Machado; Julio Cesar Momente; Geraldo F. D. Zafalon; Álvaro Magri Nogueira da Cruz; Marcelo Zanchetta do Nascimento; Carlos Roberto Valêncio (J. Comput. Sci., 2018)

Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks. - Adriano Barbosa-Silva; Alessandro Santana Martins; Leandro Alves Neves; Paulo Rogério de Faria; Thaína A. A. Tosta; Marcelo Zanchetta do Nascimento (CIARP, 2019)

Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images. - Alessandro Santana Martins; Leandro Alves Neves; Paulo Rogério de Faria; Thaína A. A. Tosta; Daniel O. Tambasco Bruno; Leonardo C. Longo; Marcelo Zanchetta do Nascimento (CIARP, 2019)

A Model Based on Genetic Algorithm for Colorectal Cancer Diagnosis. - Daniela F. Taino; Matheus Gonçalves Ribeiro; Guilherme Freire Roberto; Geraldo F. D. Zafalon; Marcelo Zanchetta do Nascimento; Thaína A. A. Tosta; Alessandro Santana Martins; Leandro Alves Neves (CIARP, 2019)

Computational normalization of H&E-stained histological images: Progress, challenges and future potential. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Artif. Intell. Medicine, 2019)

Color normalization of faded H&E-stained histological images using spectral matching. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Comput. Biol. Medicine, 2019)

Classification of breast and colorectal tumors based on percolation of color normalized images. - Guilherme Freire Roberto; Marcelo Zanchetta do Nascimento; Alessandro Santana Martins; Thaína A. A. Tosta; Paulo Rogério de Faria; Leandro Alves Neves (Comput. Graph., 2019)

Unsupervised method for normalization of hematoxylin-eosin stain in histological images. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; João Paulo Silva Servato; Leandro Alves Neves; Guilherme Freire Roberto; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (Comput. Medical Imaging Graph., 2019)

Classification of colorectal cancer based on the association of multidimensional and multiresolution features. - Matheus Gonçalves Ribeiro; Leandro Alves Neves; Marcelo Zanchetta do Nascimento; Guilherme Freire Roberto; Alessandro Santana Martins; Thaína Aparecida Azevedo Tosta (Expert Syst. Appl., 2019)

Segmentation of Oral Epithelial Dysplasias Employing Mask R-CNN and Color Normalization. - Adriano Barbosa-Silva; Dalí F. D. dos Santos; Thaína A. A. Tosta; Alessandro Santana Martins; Leandro Alves Neves; Bruno A. N. Travençolo; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento (BIBM, 2020)

Selection of CNN, Haralick and Fractal Features Based on Evolutionary Algorithms for Classification of Histological Images. - David Candelero; Guilherme Freire Roberto; Marcelo Zanchetta do Nascimento; Guilherme Botazzo Rozendo; Leandro Alves Neves (BIBM, 2020)

Multidimensional and multiscale Higuchi dimension for the analysis of colorectal histological images. - Jaqueline Junko Tenguam; Guilherme Botazzo Rozendo; Guilherme Freire Roberto; Marcelo Zanchetta do Nascimento; Alessandro Santana Martins; Leandro Alves Neves (BIBM, 2020)

Analysis of Features for Breast Cancer Recognition in Different Magnifications of Histopathological Images. - Rafael H. de O. Carvalho; Alessandro Santana Martins; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (IWSSIP, 2020)

Analysing research collaboration through co-authorship networks in a big data environment: an efficient parallel approach. - Carlos Roberto Valêncio; José Carlos De Freitas; Rogéria Cristiane Gratão de Souza; Leandro Alves Neves; Geraldo Francisco Donegá Zafalon; Angelo Cesar Colombini; William Tenório (Int. J. Comput. Sci. Eng., 2020)

Evaluation of statistical and Haralick texture features for lymphoma histological images classification. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Fractal Neural Network: A new ensemble of fractal geometry and convolutional neural networks for the classification of histology images. - Guilherme Freire Roberto; Alessandra Lumini; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Expert Syst. Appl., 2021)

A Hermite polynomial algorithm for detection of lesions in lymphoma images. - Alessandro Santana Martins; Leandro Alves Neves; Paulo Rogério de Faria; Thaína A. A. Tosta; Leonardo C. Longo; Adriano Barbosa-Silva; Guilherme Freire Roberto; Marcelo Zanchetta do Nascimento (Pattern Anal. Appl., 2021)

Analysis of cancer in histological images: employing an approach based on genetic algorithm. - Daniela F. Taino; Matheus Gonçalves Ribeiro; Guilherme Freire Roberto; Geraldo F. D. Zafalon; Marcelo Zanchetta do Nascimento; Thaína A. A. Tosta; Alessandro Santana Martins; Leandro Alves Neves (Pattern Anal. Appl., 2021)

Ensembles of fractal descriptors with multiple deep learned features for classification of histological images. - Leonardo Henrique Da Costa Longo; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento; Luiz Fernando Segato dos Santos; Guilherme Freire Roberto; Leandro Alves Neves (IWSSIP, 2022)

Multidimensional shannon entropy (HM) as an approach to classify H&E colorectal images. - Luiz Fernando Segato dos Santos; Guilherme Botazzo Rozendo; Marcelo Zanchetta do Nascimento; Thaína Aparecida Azevedo Tosta; Leonardo Henrique Da Costa Longo; Leandro Alves Neves (IWSSIP, 2022)

Classification of H&E images exploring ensemble learning with two-stage feature selection. - Jaqueline Junko Tenguam; Leonardo Henrique Da Costa Longo; Adriano Barbosa-Silva; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (IWSSIP, 2022)

Assessment of the association of deep features with a polynomial algorithm for automated oral epithelial dysplasia grading. - 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 (SIBGRAPI, 2022)

Classification of lymphomas images with polynomial strategy: An application with Ridge regularization. - 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 (SIBGRAPI, 2022)

Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections. - Adriano Barbosa-Silva; Alessandro Santana Martins; Thaína Aparecida Azevedo Tosta; Leandro Alves Neves; João Paulo Silva Servato; Marcelo Sivieri de Araújo; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento (Expert Syst. Appl., 2022)

Classification of non-Hodgkin lymphomas based on sample entropy signatures. - Guilherme Botazzo Rozendo; Marcelo Zanchetta do Nascimento; Guilherme Freire Roberto; Paulo Rogério de Faria; Adriano Barbosa-Silva; Thaína Aparecida Azevedo Tosta; Leandro Alves Neves (Expert Syst. Appl., 2022)

Sample Entropy Signatures: A new way to interpret SampEn values. - Guilherme Botazzo Rozendo; Marcelo Zanchetta do Nascimento; Guilherme Freire Roberto; Paulo Rogério de Faria; Adriano Barbosa-Silva; Thaína Aparecida Azevedo Tosta; Leandro Alves Neves (Softw. Impacts, 2022)

Percolation Features: An approach for evaluating fractal properties in colour images. - Guilherme Freire Roberto; Leandro Alves Neves; Leonardo Henrique Da Costa Longo; Guilherme Botazzo Rozendo; Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (Softw. Impacts, 2022)

CNN Ensembles for Nuclei Segmentation on Histological Images of OED. - 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 (CBMS, 2023)

Handcrafted features vs deep-learned features: Hermite Polynomial Classification of Liver Images. - 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 (CBMS, 2023)

Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification. - Guilherme Freire Roberto; Danilo Cesar Pereira; Alessandro Santana Martins; Thaína A. A. Tosta; Carlos Soares; Alessandra Lumini; Guilherme Botazzo Rozendo; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (CIARP, 2023)

Weeds Classification with Deep Learning: An Investigation Using CNN, Vision Transformers, Pyramid Vision Transformers, and Ensemble Strategy. - Guilherme Botazzo Rozendo; Guilherme Freire Roberto; Marcelo Zanchetta do Nascimento; Leandro Alves Neves; Alessandra Lumini (CIARP, 2023)

An Investigation of Deep-Learned Features for Classifying Radiographic Images of COVID-19. - Pedro Lucas Miguel; Adriano Mauro Cansian; Guilherme Botazzo Rozendo; Giuliano Cardozo Medalha; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (ICEIS (1), 2023)

Classification of H&E Images via CNN Models with XAI Approaches, DeepDream Representations and Multiple Classifiers. - Leandro Alves Neves; João Manuel Cardoso Martinez; Leonardo Henrique Da Costa Longo; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Adriano M. Loyola; Sérgio V. Cardoso; Adriano Barbosa-Silva; Marcelo Zanchetta do Nascimento; Guilherme Botazzo Rozendo (ICEIS (1), 2023)

A stain color normalization with robust dictionary learning for breast cancer histological images processing. - Thaína Aparecida Azevedo Tosta; André Dias Freitas; Paulo Rogério de Faria; Leandro Alves Neves; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (Biomed. Signal Process. Control., 2023)

Analysis of neural networks trained with evolutionary algorithms for the classification of breast cancer histological images. - João Pedro Miranda Miguel; Leandro Alves Neves; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento; Thaína Aparecida Azevedo Tosta (Expert Syst. Appl., 2023)

Deep Convolutional Neural Network and Character Level Embedding for DGA Detection. - João Rafael Gregório; Adriano Mauro Cansian; Leandro Alves Neves; Denis Henrique Pinheiro Salvadeo (ICEIS (2), 2024)

Improving Explainability of the Attention Branch Network with CAM Fostering Techniques in the Context of Histological Images. - 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 (ICEIS (1), 2024)

X-GAN: Generative Adversarial Networks Training Guided with Explainable Artificial Intelligence. - Guilherme Botazzo Rozendo; Alessandra Lumini; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (ICEIS (1), 2024)

Ensemble of Semantic Segmentation Models for Oral Epithelial Dysplasia Images. - Adriano Barbosa-Silva; Thaína A. A. Tosta; Leandro Alves Neves; Alessandro Santana Martins; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento (SIBGRAPI, 2024)

Oral Dysplasia Classification by Using Fractal Representation Images and Convolutional Neural Networks. - 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 (VISIGRAPP (3): VISAPP, 2024)

Investigation of Deep Neural Network Compression Based on Tucker Decomposition for the Classification of Lesions in Cavity Oral. - 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 (VISIGRAPP (3): VISAPP, 2024)

Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images. - 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 (VISIGRAPP (2): VISAPP, 2024)

Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier. - Cléber I. De Oliveira; Marcelo Zanchetta do Nascimento; Guilherme Freire Roberto; Thaína A. A. Tosta; Alessandro Santana Martins; Leandro Alves Neves (Multim. Tools Appl., 2024)

Higuchi Fractal Dimension with a multidimensional approach for color images. - Jaqueline Junko Tenguam; Leonardo Henrique Da Costa Longo; Guilherme Freire Roberto; Thaína A. A. Tosta; Adriano Barbosa-Silva; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (Softw. Impacts, 2024)

Classification of Multiple H&E Images via an Ensemble Computational Scheme. - Leonardo Henrique Da Costa Longo; Guilherme Freire Roberto; Thaína A. A. Tosta; Paulo Rogério de Faria; Adriano M. Loyola; Sérgio V. Cardoso; Adriano Barbosa-Silva; Marcelo Zanchetta do Nascimento; Leandro Alves Neves (Entropy, 2024)

An ensemble of learned features and reshaping of fractal geometry-based descriptors for classification of histological images. - Guilherme Freire Roberto; Leandro Alves Neves; Alessandra Lumini; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (Pattern Anal. Appl., 2024)

Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images. - Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Leandro Alves Neves; Alessandro Santana Martins; Chetna Kaushal; Marcelo Zanchetta do Nascimento (Pattern Anal. Appl., 2024)

Exploring DeepDream and XAI Representations for Classifying Histological Images. - 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 (SN Comput. Sci., 2024)

CNN Ensembles for Nuclei Instance Segmentation in OED Histological Images. - Adriano Barbosa-Silva; Jose E. B. Apumayta; Thaína A. A. Tosta; Alessandro Santana Martins; Domingos Lucas Latorre de Oliveira; Leandro Alves Neves; Paulo Rogério de Faria; Marcelo Zanchetta do Nascimento (CBMS, 2025)

Nuclear Segmentation in Histological Images Using Multiple Attention System Mixing. - Gabriel G. Crepaldi; Domingos Lucas Latorre de Oliveira; Thaína A. A. Tosta; Leandro Alves Neves; Adriano Barbosa-Silva; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (CBMS, 2025)

Color Normalization by Dictionary Learning with Nuclear Segmentation Evaluation in H&E Histological Images. - André Fernando Quaresma da Silva; André Dias Freitas; Paulo Rogério de Faria; Leandro Alves Neves; Marcelo Zanchetta do Nascimento; Thaína A. A. Tosta (CBMS, 2025)

Association of Fractal Geometry and Data Augmentation Through GANs and XAI for Classification of Histology Images. - Vinicius Augusto Toreli Borgue; Bianca Lançoni de Oliveira Garcia; Sérgio Augusto Pelicano Júnior; Guilherme Freire Roberto; Guilherme Botazzo Rozendo; Leandro Alves Neves; Alessandro Santana Martins; Thaína Aparecida Azevedo Tosta; Marcelo Zanchetta do Nascimento (ICEIS (1), 2025)

Convolutional Neural Networks Enriched by Handcrafted Attributes (Enriched-CNN): An Innovative Approach to Pattern Recognition in Histological Images. - Luiz Fernando Segato dos Santos; Leandro Alves Neves; Alessandro Santana Martins; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Marcelo Zanchetta do Nascimento (ICEIS (1), 2025)

Exploring percolation features with polynomial algorithms for classifying Covid-19 in chest X-ray images. - Guilherme Freire Roberto; Danilo Cesar Pereira; Alessandro Santana Martins; Thaína A. A. Tosta; Carlos Soares; Alessandra Lumini; Guilherme Botazzo Rozendo; Leandro Alves Neves; Marcelo Zanchetta do Nascimento (Pattern Recognit. Lett., 2025)

Evaluation of fractal descriptors, deep features and XAI representations with LASSO-regularized Hermite polynomial classifier for H&E histological image classification. - Danilo Cesar Pereira; Adriano Barbosa-Silva; Leonardo Henrique Da Costa Longo; Adriano M. Loyola; Sérgio V. Cardoso; Paulo Rogério de Faria; Thaína A. A. Tosta; Leandro Alves Neves; Alessandro Santana Martins; Marcelo Zanchetta do Nascimento (Biomed. Signal Process. Control., 2026)