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Refinado por: assunto: Tecnologias Da Saúde remover
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1
Importance of the algorithm as a tool for expert decision making [Editorial] artificial intelligence in ophthalmology
Importance of the algorithm as a tool for expert decision making [Editorial] artificial intelligence in ophthalmology
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Importance of the algorithm as a tool for expert decision making [Editorial] artificial intelligence in ophthalmology

Ricardo Noguera Louzada Ivar Vargas Belizario; Agma Juci Machado Traina; Milton Ruiz Alves

eOftalmo São Paulo v. 8, n. 3, p. 61-64, 2022

São Paulo 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3114702 )(Acessar)

2
A deep learning approach for COVID-19 screening and localization on chest x-ray images
A deep learning approach for COVID-19 screening and localization on chest x-ray images
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A deep learning approach for COVID-19 screening and localization on chest x-ray images

Karem Daiane Marcomini Diego Armando Cardona Cardenas; Agma Juci Machado Traina; Jose Eduardo Krieger; Marco Antonio Gutierrez; SPIE Medical Imaging (2022 San Diego)

Proceedings of SPIE Bellingham : International Society for Optical Engineering - SPIE v. 12033, p. 1203327-1-1203327-9, 2022

Bellingham International Society for Optical Engineering - SPIE 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3073475 )(Acessar)

3
BEAUT a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging
BEAUT a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging
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BEAUT a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging

Jonathan da Silva Ramos Jamilly Gomes Maciel; Mirela Teixeira Cazzolato; Caetano Traina Junior; Marcello Henrique Nogueira-Barbosa; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (34. 2021 Aveiro, Portugal)

Proceedings Los Alamitos : IEEE, 2021

Los Alamitos IEEE 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3036080 )(Acessar)

4
Wia-Spine a CBIR environment with embedded radiomic features to assess fragility fractures
Wia-Spine a CBIR environment with embedded radiomic features to assess fragility fractures
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Wia-Spine a CBIR environment with embedded radiomic features to assess fragility fractures

Marcos Vinícius Naves Bêdo Jonathan da Silva Ramos; Agma Juci Machado Traina; Caetano Traina Junior; Marcello Henrique Nogueira-Barbosa; Paulo Mazzoncini de Azevedo-Marques; International Symposium on Computer-Based Medical Systems - CBMS (35. 2022 Shenzen, China)

Proceedings Los Alamitos : IEEE, 2022

Los Alamitos IEEE 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3093886 )(Acessar)

5
ClinicalPath a visualization tool to improve the evaluation of electronic health records in clinical decision-making
ClinicalPath a visualization tool to improve the evaluation of electronic health records in clinical decision-making
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ClinicalPath a visualization tool to improve the evaluation of electronic health records in clinical decision-making

Claudio Douglas Gouveia Linhares Daniel Mário de Lima; Jean Roberto Ponciano; Mauro Marcel Olivatto; Marco Antonio Gutierrez; Jorge Poco; Caetano Traina Junior; Agma Juci Machado Traina

IEEE Transactions on Visualization and Computer Graphics Los Alamitos v. 29, n. 10, p. 4031-4046, Oct. 2023

Los Alamitos 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3078047 )(Acessar)

6
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
Material Type:
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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)

7
Analysis of vertebrae without fracture on spine MRI to assess bone fragility a comparison of traditional machine learning and deep learning
Analysis of vertebrae without fracture on spine MRI to assess bone fragility a comparison of traditional machine learning and deep learning
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Analysis of vertebrae without fracture on spine MRI to assess bone fragility a comparison of traditional machine learning and deep learning

Jonathan da Silva Ramos Erikson Júlio de Aguiar; Ivar Vargas Belizario; Márcus Vinícius Lobo Costa; Jamilly Gomes Maciel; Mirela Teixeira Cazzolato; Caetano Traina Junior; Marcello Henrique Nogueira-Barbosa; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (35. 2022 Shenzen, China)

Proceedings Los Alamitos : IEEE, 2022

Los Alamitos IEEE 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3093849 )(Acessar)

8
A two-phase learning approach for the segmentation of dermatological wounds
A two-phase learning approach for the segmentation of dermatological wounds
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A two-phase learning approach for the segmentation of dermatological wounds

Wellington S Silva Daniel L Jasbick; Rodrigo E Wilson; Paulo Mazzoncini de Azevedo-Marques; Agma Juci Machado Traina; Lúcio F. D Santos; Ana Elisa Serafim Jorge; Daniel de Oliveira; Marcos Vinícius Naves Bêdo; International Symposium on Computer-Based Medical Systems - CBMS (32. 2019 Córdoba)

Proceedings Los Alamitos : IEEE, 2019

Los Alamitos IEEE 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2957385 )(Acessar)

9
Variational autoencoders for medical image retrieval
Variational autoencoders for medical image retrieval
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Variational autoencoders for medical image retrieval

Cézanne Alves Agma Juci Machado Traina; International Conference on Innovations in Intelligent Systems and Applications - INISTA (16. 2022 Biarritz, France)

Proceedings Los Alamitos : IEEE, 2022

Los Alamitos 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3099115 )(Acessar)

10
Segmenting skin ulcers and measuring the wound area using deep convolutional networks
Segmenting skin ulcers and measuring the wound area using deep convolutional networks
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Segmenting skin ulcers and measuring the wound area using deep convolutional networks

Daniel Yoshinobu Takada Chino Lucas de Carvalho Scabora; Mirela Teixeira Cazzolato; Ana Elisa Serafim Jorge; Caetano Traina Junior; Agma Juci Machado Traina

Computer Methods and Programs in Biomedicine Shannon : Elsevier v. 191, p. 1-11, July 2020

Shannon 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2989091 )(Acessar)

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