CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Associate Professor at University of São Paulo, Sao Carlos School of Engineering, Department of Electrical and Computing Engineering. Associate Partner of Tampere University (Finland). Graduate at Electrical Engineering from University of São Paulo (1996), Master Degree at Electrical Engineering from University of São Paulo (1999) and Ph.D. at Electrical Engineering from University of São Paulo (2005). Post-doctoral fellow at University of Pennsylvania (USA) between 2012-2013. Associate Professor since 2018. He has experience in Biomedical Engineering and Computer Vision, focusing on the following subjects: medical imaging, digital mammography, digital breast tomosynthesis, image processing, image restoration, image denoising, dose reduction, artificial intelligence, machine learning, neural networks, deep learning and computer-aided diagnosis (CAD) systems. (Source: Lattes Curriculum)
| News published in Agência FAPESP Newsletter about the researcher |
| More itemsLess items |
| TITULO |
| Articles published in other media outlets ( ): |
| More itemsLess items |
| VEICULO: TITULO (DATA) |
| VEICULO: TITULO (DATA) |
Digital mammography is currently the most appropriate exam for breast cancer screening worldwide. However, despite the numerous benefits achieved by the mammographic examination, patients are exposed to small doses of radiation during the image acquisition process. It is known that the radiation dose used in the exam directly influences the quality of the mammographic image and, consequen…
(Only some records are available in English at this moment)
The main objective of this project is to develop advanced image processing techniques, based on dual-domain methods, to filter noise in Digital Breast Tomosynthesis (DBT) images acquired with reduced radiation dose. DBT is a new imaging modality that provides to radiologists a 3D reconstruction of the breast volume. The 3D visualization of the breast anatomy through DBT minimizes issues r…
This work is about the development of a computational system to allow an automatic and objective evaluation of mammographic equipment performance considering its image quality. The information should be obtained from computational analysis of radiographic images of some phantoms, which should be developed for evaluation of each specific parameter. Thus, the final proposal is to present a …
| 1 / 1 | Ongoing grants |
| 16 / 9 | Completed research grants |
| 6 / 3 | Completed scholarships in Brazil |
| 23 / 13 | All research grants and scholarships |
| Associated processes | |