Graduated in Electrical Engineering (1994) from the University of Campinas, worked in Automotive Industry, more specifically Robert Bosch Ltda and Volkswagen do Brasil from 1994 to 1999. In parallel received her MBA from Fundação Getulio Vargas (1998). Returned to the University, receiving her Msc. in Electrical Engineering (2004) and Ph.D. in Electrical Engineering from the same University (2009), with a 6-month internship at the Montreal Neurological Institute, McGill University, Canada. Concluded a post-doctorate fellowship at the Perelman School of Medicine, University of Pennsylvania. Is currently an Associate Professor at School of Electrical and Computer Engineering, University of Campinas (UNICAMP), Brazil. Her research is focused on Medical Image Processing and Analysis. Published more than 70 scientific papers on journals and conference proceedings. Beside regular courses, has been teaching Image Processing courses to the community. Since 2012 organizes programming workshops for children and teenagers. (Source: Lattes Curriculum)
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(Only some records are available in English at this moment)
The quantification of gamma-aminobutyric acid (GABA) has been a topic of interest due to the importance of this neurotransmitter and its link to different psychiatric diseases. Magnetic resonance spectroscopy (MRS) is the main method for in-vivo measurement of this metabolite. However, the application of MRS for the quantification of GABA requires the acquisition of multiple resonance sig…
The analysis and follow-up of skin lesions are important for the diagnosis and treatment of some diseases, such as lupus. However, this task can be laborious, subjective, and limited when done only visually. In this case, spectral imaging combined with computational methods proved interesting. From this type of image, additional information beyond the visible spectrum can be obtained, bes…
Recent advances in computational capacity led to the application of Artificial Intelligence in several activities, such as health, mobility, natural language recognition, law, computer vision and a wide range of research fields. One of its most famous application is the use of artificial intelligence to develop autonomous carsIts large-scale application has the potential to solve several …
This postdoctoral project proposes the improvement, validation and quantitative analysis of a segmentation method for diffusion tensor images (DTI) of the brain based on the watershed transform [Rittner and Lotufo, 2008]. It also foresees the application of this method in solving real problems of neuroscience, such as segmentation of thalamus nuclei, delineation of regions of the corpus c…
This project aims to identify and adapt, if necessary, segmentation and pattern recognition methods suitable to work with diffusion tensor images (DTI) of the brain. As a starting point, we will explore graph-based methods, such as image operators defined through the Image Forest Transform (IFT) framework and the Optimum path forest (OPF) classifier, which calculates an optimal path fores…
| 6 / 6 | Completed research grants |
| 1 / 1 | Ongoing scholarships in Brazil |
| 3 / 3 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 11 / 11 | All research grants and scholarships |
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CV Lattes
ORCID