Denis H. P. Salvadeo
Orcid: 0000-0001-8942-0033
According to our database1,
Denis H. P. Salvadeo
authored at least 15 papers
between 2008 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023
2022
A new bayesian Poisson denoising algorithm based on nonlocal means and stochastic distances.
Pattern Recognit., 2022
A benchmark of denoising digital breast tomosynthesis in projection domain: neural network-based and traditional methods.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
Denoising digital breast tomosynthesis projections using convolutional neural networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
Multi-label Classification of Panoramic Radiographic Images Using a Convolutional Neural Network.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020
2016
Diagnostic Support for Alzheimers Disease through Feature-Based Brain MRI Retrieval and Unsupervised Distance Learning.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016
2015
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015
2014
Denoising based on non local means for ultrasound images with simultaneous multiple noise distributions.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Filtragem de ruído em imagens tomográficas com baixa taxa de contagem utilizando uma abordagem bayesiana contextual.
PhD thesis, 2013
2012
Contextual Filtering of CT Images Using Markovian Wiener Filters with a Non Local Means Approach for Statistical Estimation.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012
2011
Comput. Sci. Eng., 2011
2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
2008
Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008