CV Lattes
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Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica (IMECC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduation at Bacharelado Em Ciência da Computação from Instituto de Ciências Matemáticas e de Computação (2005), master's at Mestrado em Fisica Computacional from Universidade de São Paulo (2009) and doctorate at Physics from Universidade de São Paulo (2013). Has experience in Physics, acting on the following subjects: shape analysis, curvature, fractal dimension and complexity. (Source: Lattes Curriculum)
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The increasing availability of digitized data and the success of deep learning algorithms have led to these models being increasingly used in medical image analysis. One difficulty, however, that frequently arises in this type of application is the difficulty in obtaining a large amount of annotated data. This has recently led to a growing interest in the self-supervised learning approach…
This project proposes the study and development of a computational methodology for the analysis of images introducing elements of fractal theory into deep convolutional neural networks. Although these networks have become ubiquitous in computer vision, and in particular in the analysis of medical images, classical theories such as fractal geometry can still be very useful, among other rea…
This project proposes the study and development of mathematical and computational tools for image analysis based on complex systems. More specifically, the researcher will focus on three approaches, namely, fractal geometry, complex networks and methods of Mathematical Physics. All these techniques share the ability of describing with great accuracy the irregularity or homogeneity of an o…
This project proposes the study and development of mathematical/computational tools for medical image analysis, introducing image descriptors based on local binary patterns into the pipeline of a multilayer perceptron neural network. In fact, neural networks, especially convolutional neural networks, have become popular in image analysis in general and for medical images in particular. Ho…
This project proposes the development and application of mathematical and image analysis tools derived from fractal geometry to the analysis and identification of plant species of Brazilian flora. The proposed use of fractal geometry for this analysis comes from the precision that this approach presents in the modeling of objects from nature. Actually, elements such as plant leaves have p…
This work proposes to investigate the identification of plant species by fractal-based imaging methods. Images of plant leaves will be obtained from three different modalities (i.e. scanned leaf surface, microscopy images of the stomata and histological cross-sections) and will be analyzed using innovative computerized methods developed for the analysis of the architecture of tumors and g…
| 1 / 1 | Ongoing grants |
| 3 / 2 | Completed research grants |
| 3 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 8 / 6 | All research grants and scholarships |
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