Newton Shydeo Brandão Miyoshi

19 papers B 2Journal 4Unranked 12
YearRankTypeTitle / Venue / Authors
2024 — conf
Deep Learning Methods for Sacroiliitis Detection.
CENTERIS/ProjMAN/HCist
Thiago Mantovani Martins, Matheus Arroyo de Lima, Newton Shydeo Brandão Miyoshi, Paulo Mazzoncini de Azevedo Marques
2023 — conf
A Web Portal for Real-Time Data Quality Analysis on the Brazilian Tuberculosis Research Network: A Case Study.
ICCS (3)
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
2023 J jnl
DeepVox and SAVE-CT: a contrast- and dose-independent 3D deep learning approach for thoracic aorta segmentation and aneurysm prediction using computed tomography scans.
CoRR
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
2023 — conf
Unsupervised K-means Analysis of Tuberculosis Data in Brazil: Identifying High Prevalence States and Temporal Trends.
CENTERIS/ProjMAN/HCist
Angelo Rossini, Domingos Alves, Victor Cassão, Newton Shydeo Brandão Miyoshi
2022 — conf
Knowledge Discovery in Databases: Comorbidities in Tuberculosis Cases.
ICCS (3)
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, Domingos Alves
2022 — conf
Preliminary Results to Predict Tuberculosis Outcomes Applying Traditional and Automated Machine Learning Models.
CENTERIS/ProjMAN/HCist
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
2022 — conf
Unsupervised analysis of COVID-19 pandemic evolution in brazilian states: Vaccination Scenario.
CENTERIS/ProjMAN/HCist
Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Mariana Tavares Mozini, Renan Barbieri Segamarchi, Newton Shydeo Brandão Miyoshi
2021 — conf
COVID-19 BR: A web portal for COVID-19 information in Brazil.
CENTERIS/ProjMAN/HCist
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
2021 — conf
Unsupervised analysis of COVID-19 pandemic evolution in brazilian states.
CENTERIS/ProjMAN/HCist
Victor Cassão, Domingos Alves, Ana Clara de Andrade Mioto, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi
2020 J jnl
Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: A case-control study.
Int. J. Medical Informatics
Verena Hokino Yamaguti, Domingos Alves, Rui Pedro Charters Lopes Rijo, Newton Shydeo Brandão Miyoshi, Antonio Ruffino-Netto
2020 — conf
Ontology-Based Inference for Supporting Clinical Decisions in Mental Health.
ICCS (4)
Diego Bettiol Yamada, Filipe Andrade Bernardi, Newton Shydeo Brandão Miyoshi, Inácia Bezerra de Lima, André Luiz Teixeira Vinci, Vinicius Tohoru Yoshiura, Domingos Alves
2019 — conf
SISTB: an ecosystem for monitoring TB.
CENTERIS/ProjMAN/HCist
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
2019 — conf
Using Mental Health Indicators to Improve Health Care Management: A Web-based Approach.
ICIMTH
André L. T. Vinci, Inácia Bezerra de Lima, Newton Shydeo Brandão Miyoshi, André Ramalho, Alberto Freitas, Rui Rijo, Domingos Alves
2018 — —
Arquitetura e métodos de integração de dados e interoperabilidade aplicados na saúde mental.
Newton Shydeo Brandão Miyoshi
2018 — conf
Proposal of an ontology for Mental Health Management in Brazil.
CENTERIS/ProjMAN/HCist
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
2017 J jnl
BioBankWarden: A web-based system to support translational cancer research by managing clinical and biomaterial data.
Comput. Biol. Medicine
Yuri Ferretti, Newton Shydeo Brandão Miyoshi, Wilson Araújo Silva Jr., Joaquim Cezar Felipe
2015 B conf
Minimum Data Consensus: Essential Information to Continuing Healthcare.
CBMS
Milena Gomes Delfini, Newton Shydeo Brandão Miyoshi, Domingos Alves
2013 J jnl
Computational framework to support integration of biomolecular and clinical data within a translational approach.
BMC Bioinform.
Newton Shydeo Brandão Miyoshi, Daniel Guariz Pinheiro, Wilson A. Silva Jr., Joaquim Cezar Felipe
2009 B conf
Ontology-based approach to achieve semantic interoperability on exchanging and integrating information about the patient clinical evolution.
CBMS
Newton Shydeo Brandão Miyoshi, Antonio Augusto Pinto Ferreira, Joaquim Cezar Felipe