Prof. Agma Juci J. Machado Traina Profile

Prof. Agma Juci J. Machado Traina

at Univ de São Paulo

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Author

Publications (5)

Proceedings Article | 4 April 2022 Poster + Paper

Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases

Erikson de Aguiar, Karem Marcomini, Felipe Quirino, Marco Gutierrez, Caetano Traina, Agma J. Traina

Proceedings Volume 12033, 120332P (2022) https://doi.org/10.1117/12.2611199

KEYWORDS: Statistical modeling, Performance modeling, Statistical analysis, Diagnostics, Medical imaging, Neural networks, Data modeling, X-rays, X-ray imaging, Visualization

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Proceedings Article | 4 April 2022 Poster + Paper

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, José Eduardo Krieger, Marco Antonio Gutierrez

Proceedings Volume 12033, 1203327 (2022) https://doi.org/10.1117/12.2613177

KEYWORDS: Opacity, Lung, Chest imaging, Sensors, Diagnostics, Binary data, Radiography, Machine learning, Image classification, Detection and tracking algorithms

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Proceedings Article | 23 February 2012 Paper

A CAD system based on complex networks theory to characterize mass in mammograms

Carolina Y. Watanabe, Jonathan Ramos, Agma J. Traina, Caetano Traina

Proceedings Volume 8315, 831522 (2012) https://doi.org/10.1117/12.911609

KEYWORDS: Mammography, Image segmentation, Feature extraction, CAD systems, Computer aided diagnosis and therapy, Shape analysis, Solid modeling, Breast cancer, Image processing algorithms and systems, Computing systems

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Proceedings Article | 4 March 2011 Paper

Integrating user profile in medical CBIR systems to answer perceptual similarity queries

Pedro Bugatti, Daniel Kaster, Marcelo Ponciano-Silva, Agma J. Traina, Caetano Traina

Proceedings Volume 7963, 79630Q (2011) https://doi.org/10.1117/12.878095

KEYWORDS: Image retrieval, Profiling, Visualization, Feature extraction, Image processing, Lung, Medical imaging, Computed tomography, Content based image retrieval, Databases

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Proceedings Article | 17 March 2008 Paper

A new method to efficiently reduce histogram dimensionality

Pedro Bugatti, Agma Traina, Joaquim Felipe, Caetano Traina

Proceedings Volume 6915, 69152Y (2008) https://doi.org/10.1117/12.770512

KEYWORDS: Magnetic resonance imaging, Medical imaging, Image information entropy, Feature extraction, Image analysis, Image retrieval, Head, Databases, Image processing, Angiography

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