Prof. Denis Henrique Pinheiro Salvadeo Profile

Prof. Denis Henrique Pinheiro Salvadeo

at Univ Estadual Paulista "Júlio de Mesquita Filho"

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Author

Publications (8)

SPIE Journal Paper | 22 May 2023

Denoising digital breast tomosynthesis projections using deep learning with synthetic data as training set

Darlan Nakamura de Araújo, Denis Henrique Pinheiro Salvadeo, Davi de Paula

JMI, Vol. 10, Issue 03, 034001, (May 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.3.034001

KEYWORDS: Digital breast tomosynthesis, Education and training, Denoising, Data modeling, Breast, Visualization, Tunable filters, Image filtering, Medical imaging, Image quality

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Proceedings Article | 4 April 2022 Presentation + Paper

A benchmark of denoising digital breast tomosynthesis in projection domain: neural network-based and traditional methods

Darlan Nakamura de Araújo, Denis H. Salvadeo, Davi de Paula

Proceedings Volume 12032, 1203207 (2022) https://doi.org/10.1117/12.2611833

KEYWORDS: Digital breast tomosynthesis, Neural networks, Denoising, Convolutional neural networks

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Proceedings Article | 30 June 2021 Paper

Efficient sign language recognition system and dataset creation method based on deep learning and image processing

A. L. Cavalcante Carneiro, L. Brito Silva, D. H. Pinheiro Salvadeo

Proceedings Volume 11878, 1187803 (2021) https://doi.org/10.1117/12.2601018

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Proceedings Article | 15 February 2021 Presentation + Paper

Denoising digital breast tomosynthesis projections using convolutional neural networks

Darlan N. de Araújo, Denis Salvadeo, Davi de Paula

Proceedings Volume 11596, 115961L (2021) https://doi.org/10.1117/12.2582185

KEYWORDS: Digital breast tomosynthesis, Denoising, Convolutional neural networks

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Image reconstruction from projections of digital breast tomosynthesis using deep learning

Davi de Paula, Denis Salvadeo, Darlan de Araújo

Proceedings Volume 11595, 1159548 (2021) https://doi.org/10.1117/12.2582183

KEYWORDS: Digital breast tomosynthesis, Image restoration, Denoising, Computer simulations, CT reconstruction, Signal to noise ratio, Reconstruction algorithms, Evolutionary algorithms, Digital imaging, Computed tomography

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Proceedings Article | 1 March 2019 Paper

Bayesian reconstruction for digital breast tomosynthesis using a non-local Gaussian Markov random field a priori model

Denis Salvadeo, Rodrigo Vimieiro, Marcelo A. Vieira, Andrew D. Maidment

Proceedings Volume 10948, 109485C (2019) https://doi.org/10.1117/12.2513140

KEYWORDS: Digital breast tomosynthesis, Reconstruction algorithms, Inverse problems, Breast, Tomography, Denoising, Imaging systems

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SPIE Journal Paper | 20 February 2019

Evaluation of denoising digital breast tomosynthesis data in both projection and image domains and a study of noise model on digital breast tomosynthesis image domain

Daniele Cristina Scarparo, Denis Henrique Pinheiro Salvadeo, Daniel Carlos Guimarães Pedronette, Bruno Barufaldi, Andrew D. Maidment

JMI, Vol. 6, Issue 03, 031410, (February 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031410

KEYWORDS: Digital breast tomosynthesis, Denoising, Image filtering, Reconstruction algorithms, Data modeling, Digital imaging, Electronic filtering, Filtering (signal processing), Gaussian filters, 3D image reconstruction

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SPIE Journal Paper | 7 January 2016

Nonlocal Markovian models for image denoising

Denis H. Salvadeo, Nelson D. Mascarenhas, Alexandre L. Levada

JEI, Vol. 25, Issue 01, 013003, (January 2016) https://doi.org/10.1117/12.10.1117/1.JEI.25.1.013003

KEYWORDS: Image filtering, Image denoising, Denoising, Bridges, Buildings, Databases, Data modeling, Image quality, Image processing, Magnetorheological finishing

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Showing 5 of 8 publications

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