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Resultados de 1 a 10 de 12  para Produção Intelectual da USP

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1
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
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Diagnosis of autism spectrum disorder based on functional brain networks and machine learning

Caroline Lourenço Alves Thaise Graziele Lima de Oliveira; Patricia Maria de Carvalho Aguiar; Aruane Mello Pineda; Kirstin Roster; Christiane Thielemann; Joel Augusto Moura Porto; Francisco Aparecido Rodrigues

Scientific Reports London v. 13, p. 8072-1-8072-20, May 2023

London 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3141824 ) e outros locais(Acessar)

2
Classification of respiratory sounds with convolutional neural network
Classification of respiratory sounds with convolutional neural network
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Classification of respiratory sounds with convolutional neural network

Aratã Andrade Saraiva Domingos Bruno S Santos; Francisco A Alves; Jose Vigno Moura Sousa; N. M. Fonseca Ferreira; Salviano Soares; Antônio Valente; International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC (13. 2020 Valletta, Malta); International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS (11. 2020 Valletta, Malta)

Proceedings Lisboa : SciTePress, 2020

Lisboa SciTePress 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2995869 )(Acessar)

3
Complex network-based classification of radiographic images for COVID-19 diagnosis
Complex network-based classification of radiographic images for COVID-19 diagnosis
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Complex network-based classification of radiographic images for COVID-19 diagnosis

Liu Weiguang Rafael Delalibera Rodrigues; Yan Jianglong; Zhu Yu-Tao; Everson José de Freitas Pereira; Li Gen; Zheng Qiusheng; Zhao Liang

PLoS ONE San Francisco v. 18, n. 9, p. 1-26, 2023

San Francisco 2023

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3156944 Acervo Digital ) e outros locais(Acessar)

4
Classification of optical coherence tomography using convolutional neural networks
Classification of optical coherence tomography using convolutional neural networks
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Classification of optical coherence tomography using convolutional neural networks

Aratã Andrade Saraiva Domingos Bruno S Santos; Pedro Mateus Cunha Pimentel; Jose Vigno Moura Sousa; N. M. Fonseca Ferreira; João do Espírito Santo Batista Neto; Salviano Soares; Antônio Valente; International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC (13. 2020 Valletta, Malta); International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS (11. 2020 Valletta, Malta)

Proceedings Lisboa : SciTePress, 2020

Lisboa SciTePress 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2995842 )(Acessar)

5
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
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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)

6
Early detection of autism spectrum disorder using non-invasive EEG
Early detection of autism spectrum disorder using non-invasive EEG
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Early detection of autism spectrum disorder using non-invasive EEG

Marcela Prince Antunes João Luís Garcia Rosa; Fabio Junior Sabai; Fernando Soares de Aguiar Neto; International Conference on Body Sensor Networks - BSN (19. 2023 Boston)

Proceedings Piscataway : IEEE, 2023

Piscataway IEEE 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3172452 )(Acessar)

7
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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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)

8
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
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Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia

Caroline Lourenço Alves Thaise Graziele Lima de Oliveira; Joel Augusto Moura Porto; Patricia Maria de Carvalho Aguiar; Eduardo Pondé de Sena; Francisco Aparecido Rodrigues; Aruane Mello Pineda; Christiane Thielemann

Journal of Neural Engineering Bristol v. 20, n. 5, p. 056025-1-056025-28, Oct. 2023

Bristol 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3156886 ) e outros locais(Acessar)

9
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets
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Fine-tuning pre-trained neural networks for medical image classification in small clinical datasets

Newton Spolaôr Huei Diana Lee; Ana Isabel Mendes; Conceição Veloso Nogueira; Antonio Rafael Sabino Parmezan; Weber Shoity Resende Takaki; Claudio Saddy Rodrigues Coy; Feng Chung Wu; Rui Fonseca-Pinto

Multimedia Tools and Applications Dordrecht v. 83, n. 9, p. 27305-27329, Mar. 2024

Dordrecht 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3156723 )(Acessar)

10
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
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Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning

Aruane Mello Pineda Francisco Aparecido Rodrigues; Caroline Lourenço Alves; Michael Möckel; Thaise Graziele Lima de Oliveira; Joel Augusto Moura Porto

Journal of Complex Networks Oxford v. 11, n. 5, p. cnad030-1-cnad030-21, Oct. 2023

Oxford 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3157181 ) e outros locais(Acessar)

Resultados de 1 a 10 de 12  para Produção Intelectual da USP

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Deste Autor:

  1. Oliveira, T
  2. Porto, J
  3. Traina, A
  4. Pineda, A
  5. Rodrigues, F

Neste Assunto:

  1. Diagnóstico Por Computador
  2. Tecnologias Da Saúde
  3. Aprendizado Computacional
  4. Redes Neurais
  5. Redes Complexas

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

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