Ontology-based approach to achieve semantic interoperability on exchanging and integrating information about the patient clinical evolution. - Newton Shydeo Brandão Miyoshi; Antonio Augusto Pinto Ferreira; Joaquim Cezar Felipe (CBMS, 2009)

Computational framework to support integration of biomolecular and clinical data within a translational approach. - Newton Shydeo Brandão Miyoshi; Daniel Guariz Pinheiro; Wilson A. Silva Jr.; Joaquim Cezar Felipe (BMC Bioinform., 2013)

Minimum Data Consensus: Essential Information to Continuing Healthcare. - Milena Gomes Delfini; Newton Shydeo Brandão Miyoshi; Domingos Alves (CBMS, 2015)

BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data. - Yuri Ferretti; Newton Shydeo Brandão Miyoshi; Wilson Araújo Silva Jr.; Joaquim Cezar Felipe (Comput. Biol. Medicine, 2017)

Proposal of an ontology for Mental Health Management in Brazil. - Diego Bettiol Yamada; Vinicius Tohoru Yoshiura; Newton Shydeo Brandão Miyoshi; Inácia Bezerra de Lima; Gustavo Yukiu Usumoto Shinoda; Rui Pedro Charters Lopes Rijo; João Mazzoncini de Azevedo Marques; Maria Manuela Cruz-Cunha; Domingos Alves (CENTERIS/ProjMAN/HCist, 2018)

Arquitetura e métodos de integração de dados e interoperabilidade aplicados na saúde mental. - Newton Shydeo Brandão Miyoshi (2018)

SISTB: an ecosystem for monitoring TB. - Nathalia Yukie Crepaldi; Vinícius Costa Lima; Filipe Andrade Bernardi; Luiz Ricardo Albano Santos; Verena Hokino Yamaguti; Felipe Carvalho Pellison; Tiago Lara Michelin Sanches; Newton Shydeo Brandão Miyoshi; Antonio Ruffino-Netto; Rui Pedro Charters Lopes Rijo; Domingos Alves (CENTERIS/ProjMAN/HCist, 2019)

Using Mental Health Indicators to Improve Health Care Management: A Web-based Approach. - André L. T. Vinci; Inácia Bezerra de Lima; Newton Shydeo Brandão Miyoshi; André Ramalho; Alberto Freitas; Rui Rijo; Domingos Alves (ICIMTH, 2019)

Ontology-Based Inference for Supporting Clinical Decisions in Mental Health. - Diego Bettiol Yamada; Filipe Andrade Bernardi; Newton Shydeo Brandão Miyoshi; Inácia Bezerra de Lima; André Luiz Teixeira Vinci; Vinicius Tohoru Yoshiura; Domingos Alves (ICCS (4), 2020)

Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: A case-control study. - Verena Hokino Yamaguti; Domingos Alves; Rui Pedro Charters Lopes Rijo; Newton Shydeo Brandão Miyoshi; Antonio Ruffino-Netto (Int. J. Medical Informatics, 2020)

COVID-19 BR: A web portal for COVID-19 information in Brazil. - Isabelle Carvalho; Filipe Andrade Bernardi; Mariane Barros Neiva; Vinícius Costa Lima; Lariza Laura de Oliveira; Newton Shydeo Brandão Miyoshi; Tiago Lara Michelin Sanches; Francisco Barbosa-Junior; Nathalia Yukie Crepaldi; Diego Bettiol Yamada; Domingos Alves (CENTERIS/ProjMAN/HCist, 2021)

Unsupervised analysis of COVID-19 pandemic evolution in brazilian states. - Victor Cassão; Domingos Alves; Ana Clara de Andrade Mioto; Filipe Andrade Bernardi; Newton Shydeo Brandão Miyoshi (CENTERIS/ProjMAN/HCist, 2021)

Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario. - Victor Cassão; Domingos Alves; Ana Clara de Andrade Mioto; Mariana Tavares Mozini; Renan Barbieri Segamarchi; Newton Shydeo Brandão Miyoshi (CENTERIS/ProjMAN/HCist, 2022)

Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models. - Ana Clara de Andrade Mioto; Mariana Tavares Mozini; Renan Barbieri Segamarchi; Giovane Thomazini Soares; Pedro Emilio Andrade Martins; Victor Cassão; Luís Gustavo Barichello Ferrassini; Newton Shydeo Brandão Miyoshi; Domingos Alves; Lariza Laura de Oliveira (CENTERIS/ProjMAN/HCist, 2022)

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)

Unsupervised K-means Analysis of Tuberculosis Data in Brazil: Identifying High Prevalence States and Temporal Trends. - Angelo Rossini; Domingos Alves; Victor Cassão; Newton Shydeo Brandão Miyoshi (CENTERIS/ProjMAN/HCist, 2023)

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)

DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans. - Matheus del-Valle; Lariza Laura de Oliveira; Henrique Cursino Vieira; Henrique Min Ho Lee; Lucas Lembrança Pinheiro; Maria Fernanda Portugal; Newton Shydeo Brandão Miyoshi; Nelson Wolosker (CoRR, 2023)

Deep Learning Methods for Sacroiliitis Detection. - Thiago Mantovani Martins; Matheus Arroyo de Lima; Newton Shydeo Brandão Miyoshi; Paulo Mazzoncini de Azevedo Marques (CENTERIS/ProjMAN/HCist, 2024)