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Universidade de São Paulo (USP). Escola de Engenharia de São Carlos (EESC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
He is electronic engineer by University of S. Paulo (1986), and has master degree at Electrical Engineering (1988) and PhD at Applied Physics from University of S. Paulo (1992). Currently he is associate professor at the Escola de Engenharia de S.Carlos, University of S. Paulo. His research experience is in the Biomedical Engineering field, mainly with medical imaging, working with: mammography image processign, mammography, computer-aided diagnosis, medical image digitization and quality assurance in radiology. He worked as coordinator in the Master/Doctor degrees course in Electrical Engineering (2004-2006) as well as in the Electrical Engineering undergraduate course (2009-2015) at EESC/USP, and was also vice-director of the Informatics Center of S.Carlos, USP (2006-2013) (Source: Lattes Curriculum)
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The availability of computational tools - from simplest to most complex - to aid in diagnostic radiology is already a reality, becoming in many cases an intrinsic resource of the process. In the field of mammography, these tools have been gathered into schemes called computer-aided detection / diagnosis (CADe / CADx), which have been proposed in order to reduce the difficulties of evaluat…
International quality agencies regulators of X-ray systems, such as the International Atomic Energy Agency (IAEA), have recently implemented protocols for acceptance testing of digital mammography equipment and breast tomosynthesis, with purposes of establishing a quality standard in radiological services. However, the established guidelines are based on the use of phantoms with standardi…
Recent preliminary tests with radiologists on a prototype of a CADx (Computer-aided Diagnosis) scheme in mammography, developed previously by our team, have shown that their results are able to positively influence the medical report - especially regarding the interpretation of suspicious findings on laboratory controlled evaluations. Furthermore, such evaluations also indicate that syste…
This work aims to propose a model involving digital subtraction of images aquired at different X-ray energy levels. The purpose is to allow the detection of malignant breast lesions which, in the conventional exam form, would be totally hidden when superimposed by tissues of similar absorption characteristics. This research is addressed to dense breast cases, which are commonly poor in co…
(Only some records are available in English at this moment)
Aiming to deal with the clinical worsening of breast cancer as well as to assist its early detection, many imaging diagnosis procedures have been developed or improved regarding both the image and the equipment. Modules of mammography CADx (Computer aided diagnosis) schemes have been proposed with the aim of providing diagnostic support, improving its accuracy. Among the available screeni…
The increase in breast cancer cases has taken attention of many specialists in several fields. One of the consequences of this feature is the development of CAD schemes designed to aid in obtaining more accurate diagnosis in mammography evaluation. In this field the efforts in aiding the detection and characterization of nodules and/or microcalcifications in mammography images has been gr…
The increase in the number of new breast cancer detections is also increasing the developments of CAD schemes modules in order to provide better accuracy in mammography diagnosis. However, the most of researches in this field have been designed to detect or to classify primary features in mammographic images, as suspect masses and microcalcifications. Asymmetric regions have been consider…
(Only some records are available in English at this moment)
The screening techniques are very important for the early detection of breast cancer. The main difficulties are: subjectivity of the specialist to determine the lesion characteristics (boundaries and texture, for example) and when they the lesions are not seen in certain image modality, such as radiographically dense breasts in mammography or when there are the occurrence of overlapping t…
| 1 / 1 | Ongoing research grants |
| 26 / 8 | Completed research grants |
| 16 / 4 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 44 / 14 | All research grants and scholarships |
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(References retrieved automatically from State of São Paulo Research Institutions)
VIEIRA, Marcelo Andrade da Costa. Avaliação de qualidade em radiodiagnóstico: simulação computacional para investigação da camada semi-redutora. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (97/04177-8)
PATROCINIO, Ana Claudia. Classificador automático de achados mamográficos em imagens digitais de mamas densas utilizando técnicas híbridas. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (00/08965-5)
MARCOMINI, Karem Daiane. Caracterização de lesões em imagens digitais de ultrassonografia e elastografia da mama utilizando técnicas inteligentes. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (12/24006-5)
MATHEUS, Bruno Roberto Nepomuceno. Sistema JAVA para gerenciamento de esquema CADx em mamografia. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (10/08843-9)
GOES, Claudio Eduardo. Segmentação de imagens mamográficas digitais para detecção de microcalcificações em mamas densas. 124 f. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (00/00427-4)
ESCARPINATI, Mauricio Cunha. Desenvolvimento de um sistema computacional para utilização em procedimentos de controle de qualidade em equipamentos mamográficos. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (01/13584-3)
VIEIRA, Marcelo Andrade da Costa. Metodologia baseada nas funções de transferência para pré-processamento de imagens mamográficas digitais e sua aplicação em esquema computacional de auxílio ao diagnóstico. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (00/02868-8)
MARTINEZ, Ana Cláudia. Desenvolvimento de novas técnicas para redução de falso-positivo e definição automática de parâmetros em esquemas de diagnóstico auxiliado por computador em mamografia. Tese (Doutorado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (03/00143-4)
MENECHELLI, Renan Caldeira. Caracterização de sinais secundários em imagens mamográficas por redes neurais artificiais para auxílio ao diagnóstico do câncer de mama. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (10/13909-9)
MARCOMINI, Karem Daiane. Aplicação de modelos de redes neurais artificiais na segmentação e classificação de nódulos em imagens de ultrassonografia de mama. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (10/14194-3)
SANTAELLA, Cesar Henrique de Melo. Classificação de nódulos em imagens mamográficas digitais por Transformada \"Wavelet\". Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (00/09194-2)
ESCARPINATI, Mauricio Cunha. Investigação de formatos e compressão de imagens digitais para processamento de imagens mamográficas de mamas densas. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (99/12116-4)
OLIVEIRA, Isaura Nelsivania Sombra. Caracterização da região ótima de sistemas mamográficos através de simulação baseada no método das funções de transferência de modulação. Dissertação (Mestrado) - Escola de Engenharia de São Carlos. Universidade de São Paulo (USP). São Carlos. (95/01617-1)