NEURALTB Web System: Support to the Smear Negative Pulmonary Tuberculosis Diagnosis. - Carmen Maidantchik; José Manoel de Seixas; Afrânio Lineu Kritski; Fernanda Carvalho de Queiroz Mello; Rony T. V. Braga; Pedro H. S. Antunes; João Baptista de Oliveira e Souza Filho (ICEIS (2), 2007)

An Intelligent System for Managing the Isolation of Patients Suspected of Pulmonary Tuberculosis. - João Baptista de Oliveira e Souza Filho; Ana Paula Pereira Vieira; José Manoel de Seixas; Fábio Silva Aguiar; Fernanda Carvalho de Queiroz Mello; Afrânio Lineu Kritski (IDEAL, 2012)

Development of two artificial neural network models to support the diagnosis of pulmonary tuberculosis in hospitalized patients in Rio de Janeiro, Brazil. - Fábio Silva Aguiar; Rodrigo Coura Torres; João V. F. Pinto; Afrânio Lineu Kritski; José Manoel de Seixas; Fernanda Carvalho de Queiroz Mello (Medical Biol. Eng. Comput., 2016)

Neural network models for supporting drug and multidrug resistant tuberculosis screening diagnosis. - L. H. R. A. Évora; José Manoel de Seixas; Afrânio Lineu Kritski (Neurocomputing, 2017)

Blockchain Based Network for Tuberculosis: A Data Sharing Initiative in Brazil. - Filipe Andrade Bernardi; Vinícius Lima 001; Felipe Pellison; Paulo Mazzoncini de Azevedo Marques; Rui Rijo; Rafael Mello Galliez; Afrânio Lineu Kritski; Domingos Alves (ICIMTH, 2019)

Decision Support Systems for Tuberculosis: Protocol for a Scoping Review. - Vinícius Lima 001; Filipe Andrade Bernardi; Felipe Pellison; Rui Rijo; Afrânio Lineu Kritski; Rafael Galliez; Domingos Alves (ICIMTH, 2019)

An ensemble approach for supporting the respiratory isolation of presumed tuberculosis inpatients. - Errison dos Santos Alves; João B. O. Souza Filho; Afrânio Lineu Kritski (Neurocomputing, 2019)

Operational modeling for testing diagnostic tools impact on tuberculosis diagnostic cascade: A model design. - Luana M. A. da Costa; Filipe Andrade Bernardi; Tiago Lara Michelin Sanches; Afrânio Lineu Kritski; Rafael Mello Galliez; Domingos Alves (CENTERIS/ProjMAN/HCist, 2020)

Preliminary Results on Pulmonary Tuberculosis Detection in Chest X-Ray Using Convolutional Neural Networks. - Márcio Eloi Colombo Filho; Rafael Mello Galliez; Filipe Andrade Bernardi; Lariza Laura de Oliveira; Afrânio Lineu Kritski; Marcel Koenigkam-Santos; Domingos Alves (ICCS (4), 2020)

A computational infrastructure for semantic data integration towards a patient-centered database for Tuberculosis care. - Vinícius Costa Lima; Filipe Andrade Bernardi; Michael A. P. Domingues; Afrânio Lineu Kritski; Rui Pedro Charters Lopes Rijo; Domingos Alves (CENTERIS/ProjMAN/HCist, 2021)

Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases. - Isabelle Carvalho; Mariane Barros Neiva; Newton Shydeo Brandão Miyoshi; Nathalia Yukie Crepaldi; Filipe Andrade Bernardi; Vinícius Costa Lima; Ketlin Fabri dos Santos; Ana Clara de Andrade Mioto; Mariana Tavares Mozini; Rafael Mello Galliez; Mauro Niskier Sanchez; Afrânio Lineu Kritski; et al. (ICCS (3), 2022)

A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study. - Victor Cassão; Filipe Andrade Bernardi; Vinícius Costa Lima; Giovane Thomazini Soares; Newton Shydeo Brandão Miyoshi; Ana Clara de Andrade Mioto; Afrânio Lineu Kritski; Domingos Alves (ICCS (3), 2023)

From Raw Data to FAIR Data: The FAIRification Workflow for Brazilian Tuberculosis Research. - Filipe Andrade Bernardi; Vinícius Lima 001; Gabriel Sartoretto; João Baiochi; Victor Cassão; Afrânio Lineu Kritski; Rui Rijo; Domingos Alves (ICIMTH, 2023)

A Computational Infrastructure for Analyzing Tuberculosis Research Data in Brazil. - Mariana Tavares Mozini; Filipe Andrade Bernardi; Ana Clara de Andrade Mioto; Victor Cassão; Afrânio Lineu Kritski; Domingos Alves (ICIMTH, 2023)