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1
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
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Artigo de Congresso 		Adicionar ao Meu Espaço

A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model

Márcus Vinícius Lobo Costa Erikson Júlio de Aguiar; Lucas Santiago Rodrigues; Jonathan da Silva Ramos; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (36. 2023 L'Aquila, Italy)

Proceedings Los Alamitos : IEEE, 2023

Los Alamitos IEEE 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145014 )(Acessar)

2
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings
Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Assessing vulnerabilities of deep learning explainability in medical image analysis under adversarial settings

Erikson Júlio de Aguiar Márcus Vinícius Lobo Costa; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (36. 2023 L'Aquila, Italy)

Proceedings Los Alamitos : IEEE, 2023

Los Alamitos IEEE 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145032 )(Acessar)

3
Security and privacy in machine learning for health systems strategies and challenges
Security and privacy in machine learning for health systems strategies and challenges
Material Type:
Artigo 		Adicionar ao Meu Espaço

Security and privacy in machine learning for health systems strategies and challenges

Erikson Júlio de Aguiar Caetano Traina Junior; Agma Juci Machado Traina

Yearbook of Medical Informatics Stuttgart v. 32, n. 1, p. 269-281, 2023

Stuttgart 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3176097 )(Acessar)

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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