Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company. - Flávio H. D. Araújo; Lailson B. Moraes; André M. Santana; Pedro de A. Santos Neto; Paulo J. L. Adeodato; Érico Leão (CBMS, 2013)

SURF Descriptor and Pattern Recognition Techniques in Automatic Identification of Pathological Retinas. - Rodrigo M. S. Veras; Romuere R. V. e Silva; Flávio H. D. Araújo; Fátima N. S. de Medeiros (BRACIS, 2015)

Automatic Detection of Glaucoma Using Disc Optic Segmentation and Feature Extraction. - Malla Claro; Leonardo Santos; Wallinson Silva; Flávio H. D. Araújo; Alcilene Dalília de Sousa; André Santana (CLEI, 2015)

Convolutional neural networks at the interface of physical and digital data. - Daniela Ushizima; Chao Yang 001; Singanallur V. Venkatakrishnan; Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Haoran Tang; Joao Vitor Mascarenhas; Alexander Hexemer; Dilworth Parkinson; James A. Sethian (AIPR, 2016)

Unsupervised Leukemia Cells Segmentation Based on Multi-space Color Channels. - Luis H. S. Vogado; Rodrigo de Melo Souza Veras; Alan R. Andrade; Romuere R. V. e Silva; Flávio H. D. Araújo; Fátima N. S. de Medeiros (ISM, 2016)

Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction. - Maíla de Lima Claro; Leonardo de Moura Santos; Wallinson Lima e Silva; Flávio Henrique Duarte de Araújo; Nayara Holanda de Moura; André Macedo Santana (CLEI Electron. J., 2016)

Using machine learning to support healthcare professionals in making preauthorisation decisions. - Flávio H. D. Araújo; André M. Santana; Pedro de A. Santos Neto (Int. J. Medical Informatics, 2016)

A multi-objective approach for calibration and detection of cervical cells nuclei. - Paulo H. C. Oliveira; Gladston Moreira; Daniela Mayumi Ushizima; Cláudia M. Carneiro; Fátima N. S. de Medeiros; Flávio Henrique Duarte de Araújo; Romuere R. V. e Silva; Andrea G. C. Bianchi (CEC, 2017)

Diagnosing Leukemia in Blood Smear Images Using an Ensemble of Classifiers and Pre-Trained Convolutional Neural Networks. - Luis Henrique Silva Vogado; Rodrigo de Melo Souza Veras; Alan Ribeiro Andrade; Flávio Henrique Duarte de Araújo; Romuere Rôdrigues Veloso e Silva; Kelson Rômulo Teixeira Aires (SIBGRAPI, 2017)

Combining ABCD Rule, Texture Features and Transfer Learning in Automatic Diagnosis of Melanoma. - Nayara Holanda de Moura; Rodrigo M. S. Veras; Kelson Rômulo Teixeira Aires; Vinícius P. Machado; Romuere R. V. e Silva; Flávio H. D. Araújo; Maíla de Lima Claro (ISCC, 2018)

Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification. - Luis H. S. Vogado; Rodrigo M. S. Veras; Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Kelson Rômulo Teixeira Aires (Eng. Appl. Artif. Intell., 2018)

Reverse image search for scientific data within and beyond the visible spectrum. - Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Fátima N. S. de Medeiros; Dilworth Parkinson; Alexander Hexemer; Cláudia M. Carneiro; Daniela Mayumi Ushizima Sabino (Expert Syst. Appl., 2018)

Convnets na caracterização, recuperação e ranqueamento de células - Flávio Henrique Duarte de Araújo (2018)

Deep learning for cell image segmentation and ranking. - Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Daniela Mayumi Ushizima; Mariana T. Rezende; Cláudia M. Carneiro; Andrea Gomes Campos Bianchi; Fátima N. S. de Medeiros (Comput. Medical Imaging Graph., 2019)

Recent computational methods for white blood cell nuclei segmentation: A comparative study. - Alan R. Andrade; Luis H. S. Vogado; Rodrigo de Melo Souza Veras; Romuere R. V. e Silva; Flávio H. D. Araújo; Fátima N. S. de Medeiros (Comput. Methods Programs Biomed., 2019)

An hybrid feature space from texture information and transfer learning for glaucoma classification. - Maíla de Lima Claro; Rodrigo Veras; André M. Santana; Flávio H. D. Araújo; Romuere R. V. e Silva; João Almeida 003; Daniel Leite (J. Vis. Commun. Image Represent., 2019)

Radial feature descriptors for cell classification and recommendation. - Romuere R. V. e Silva; Flávio H. D. Araújo; Daniela Mayumi Ushizima; Andrea G. C. Bianchi; Cláudia M. Carneiro; Fátima N. S. de Medeiros (J. Vis. Commun. Image Represent., 2019)

ABCD rule and pre-trained CNNs for melanoma diagnosis. - Nayara Holanda de Moura; Rodrigo de Melo Souza Veras; Kelson Rômulo Teixeira Aires; Vinícius P. Machado; Romuere R. V. e Silva; Flávio H. D. Araújo; Maíla de Lima Claro (Multim. Tools Appl., 2019)

Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets. - Allan C. Carneiro; José G. F. Lopes; Marcelo M. S. Souza; Jeová F. S. Rocha Neto; Flávio H. D. Araújo; Romuere R. V. e Silva; Fátima N. S. de Medeiros; Francisco Nivando Bezerra (Pattern Recognit. Lett., 2019)

Texture Maps as Input in 3D CNNs Applied to Classify Nodules in CT Images. - Helio R. V. de Couto Junior; Flávio H. D. Araújo; Ricardo de Andrade Lira Rabelo; Joel J. P. C. Rodrigues; Romuere R. V. e Silva (HealthCom, 2020)

Automatic Identification of Metastasis in Histopathological Images Using Deep Learning. - Daniel S. Luz; Renesio J. O. Costa; Ricardo de Andrade Lira Rabelo; Joel J. P. C. Rodrigues; Flávio H. D. Araújo (HealthCom, 2020)

Prediction of COVID-19 using Time-Sliding Window: The case of Piauí State - Brazil. - Patrick Ryan Sales dos Santos; Lucas B. M. de Souza; Samuel P. B. D. Lélis; Hector B. Ribeiro; Fábbio Anderson Silva Borges; Romuere R. V. Silva; Antonio Oseas Carvalho Filho; Flávio H. D. Araújo; Ricardo de Andrade Lira Rabelo; Joel J. P. C. Rodrigues (HealthCom, 2020)

Automatic Segmentation of Lung Nodules in CT Images Using Deep Learning. - Acucena R. S. Soares; Thiago José Barbosa Lima; Ricardo de Andrade Lira Rabelo; Joel J. P. C. Rodrigues; Flávio H. D. Araújo (HealthCom, 2020)

Lung CT Screening With 3D Convolutional Neural Network Architectures. - Thiago José Barbosa Lima; Daniela Ushizima; Antonio Oseas de Carvalho Filho; Flávio Henrique Duarte de Araújo (ISBI Workshops, 2020)

Diagnosis of COVID-19 in CT image using CNN and XGBoost. - Edson Damasceno Carvalho; Antônio Oséas de Carvalho Filho; Flávio Henrique Duarte de Araújo; Ricardo de Andrade Lira Rabelo (ISCC, 2020)

Evaluation of data balancing techniques in 3D CNNs for the classification of pulmonary nodules in CT images. - Thiago José Barbosa Lima; Flávio Henrique Duarte de Araújo; Antonio Oseas de Carvalho Filho; Ricardo de Andrade Lira Rabelo; Rodrigo de Melo Souza Veras; Mano Joseph Mathew (ISCC, 2020)

A Capsule Network-based for identification of Glaucoma in retinal images. - Patrick Ryan Sales dos Santos; Vitória de Carvalho Brito; Antonio Oseas de Carvalho Filho; Flávio Henrique Duarte de Araújo; Ricardo de Andrade Lira Rabelo; Mano Joseph Mathew (ISCC, 2020)

Banknote Identification Methodology for Visually Impaired People. - Leonardo Pereira de Sousa; Rodrigo M. S. Veras; Luis H. S. Vogado; Laurindo S. Britto Neto; Romuere R. V. Silva; Flávio H. D. Araújo; Fátima N. S. de Medeiros (IWSSIP, 2020)

Localization of Voltage Sag Sources Using Convolutional Neural Network in IEEE 34-bus System. - Wilson Leal Rodrigues Junior; Dyôgo Medeiros Reis; Fábbio Anderson Silva Borges; Flávio Henrique Duarte de Araújo; Antônio Oséas de Carvalho Filho; Ricardo de Andrade Lira Rabelo (SMC, 2020)

Breast cancer diagnosis from histopathological images using textural features and CBIR. - Edson Damasceno Carvalho; Antonio Oseas de Carvalho Filho; Romuere R. V. e Silva; Flávio H. D. Araújo; João Otávio Bandeira Diniz; Aristófanes C. Silva; Anselmo Cardoso de Paiva; Marcelo Gattass (Artif. Intell. Medicine, 2020)

Classification of pollen grain images with MobileNet. - Júlio César da Silva Soares; Kelson Rômulo Teixeira Aires; Alan Rafael Ferreira dos Santos; Rodrigo de Melo Souza Veras; Otilio Paulo da Silva Neto; Gilberto Nunes Neto; Flávio Henrique Duarte de Araújo (CLEI, 2021)

Tumor Segmentation in Breast DCE- MRI Slice Using Deep Learning Methods. - Edson Damasceno Carvalho; Romuere Rôdrigues Veloso e Silva; Mano Joseph Mathew; Flávio Henrique Duarte de Araújo; Antonio Oseas de Carvalho Filho (ISCC, 2021)

An automated method for segmentation of COVID-19 lesions based on Computed Tomography using deep learning methods. - José Anatiel Gonçalves Santos Landim; Flávio Henrique Duarte de Araújo; Mano Joseph Mathew; Antonio Oseas de Carvalho Filho (ISCC, 2021)

Detection of COVID-19 in chest X-ray images using transfer learning with deep convolutional neural network. - Luis H. S. Vogado; Pablo Vieira; Pedro de A. Santos Neto; Lucas A. Lopes; Gleison de Andrade e Silva Silva; Flávio H. D. Araújo; Rodrigo Veras (SAC, 2021)

A hybrid of deep and textural features to differentiate glomerulosclerosis and minimal change disease from glomerulus biopsy images. - Justino Santos; Rodrigo de Melo Souza Veras; Romuere R. V. Silva; Nayze Aldeman; Flávio H. D. Araújo; Angelo Amâncio Duarte; João Manuel R. S. Tavares (Biomed. Signal Process. Control., 2021)

An approach to the classification of COVID-19 based on CT scans using convolutional features and genetic algorithms. - Edson Damasceno Carvalho; Romuere R. V. Silva; Flávio H. D. Araújo; Ricardo de A. L. Rabelo; Antônio Oséas de Carvalho Filho (Comput. Biol. Medicine, 2021)

Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model. - Luis H. S. Vogado; Rodrigo Veras; Kelson Rômulo Teixeira Aires; Flávio H. D. Araújo; Romuere R. V. Silva; Moacir Ponti; João Manuel R. S. Tavares (Sensors, 2021)

Automatic detection metastasis in breast histopathological images based on ensemble learning and color adjustment. - Daniel S. Luz; Thiago José Barbosa Lima; Romuere R. V. Silva; Deborah Maria Vieira Magalhães; Flávio H. D. Araújo (Biomed. Signal Process. Control., 2022)

A ensemble methodology for automatic classification of chest X-rays using deep learning. - Luis H. S. Vogado; Flávio H. D. Araújo; Pedro de A. Santos Neto; João Almeida 003; João Manuel R. S. Tavares; Rodrigo Veras (Comput. Biol. Medicine, 2022)

MFCC-based descriptor for bee queen presence detection. - Bianca Sousa Soares; Jederson Sousa Luz; Valderlândia Francisca de Macêdo; Romuere Rôdrigues Veloso e Silva; Flávio Henrique Duarte de Araújo; Deborah Maria Vieira Magalhães (Expert Syst. Appl., 2022)

Malignant breast lesions detection in histopathological images based on the combination of bioinspired texture descriptors and deep features. - Daniel S. Luz; Tomaz Bisneto; Thiago José Barbosa Lima; Mano Joseph Mathew; Flávio H. D. Araújo (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2023)

Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features. - Thiago José Barbosa Lima; Daniel S. Luz; Antonio Oseas; Rodrigo Veras; Flávio H. D. Araújo (Multim. Tools Appl., 2023)

Ensemble of CNNs for Enhanced Leukocyte Classification in Acute Myeloid Leukemia Diagnosis. - Leonardo P. Sousa; Romuere R. V. Silva; Maíla L. Claro; Flávio H. D. Araújo; Rodrigo N. Borges; Vinícius P. Machado; Rodrigo M. S. Veras (BRACIS (1), 2024)

Cepstral and Deep Features for Apis mellifera Hive Strength Classification. - Jederson Sousa Luz; Myllena C. De Oliveira; Fábia de M. Pereira; Flávio H. D. Araújo; Deborah Maria Vieira Magalhães (J. Internet Serv. Appl., 2024)