CV Lattes
ResearcherID
ORCID
Google Scholar Citations
Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Full Professor of the University of São Paulo. Bachelor in Computer Science (Universidade Estadual Paulista Júlio de Mesquita Filho), Master in Electrical Engineering (University of São Paulo) and PhD in Science (Computational Physics) (University of São Paulo). Associate Professor (University of São Paulo) in the Graphics area. Her research is predominantly in Computer Science, with emphasis on Virtual Reality, Image Processing, Content-based multimedia data retrieval, and Data Science. Several of her researches are applied in the healthcare area, establishing interfaces with the Biomedical Engineering area. She was Director of the Information Technology Center of the Superintendency of Information Technology at USP and is currently coordinator of the Institutional Research Office at USP. She also coordinates the Institutional Research Office (EGIDA) at USP, whose mission is "Support university management in relation to improving academic quality and dialogue with society, defining strategies and indicators based on collection, analysis, ethical processing and use of data. (Source: Lattes Curriculum)
| Articles published in Pesquisa FAPESP Magazine about the researcher: |
| Artificial intelligence to help the heart |
| Inteligencia artificial aplicada al corazón |
| More itemsLess items |
| 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) |
Computer-aided diagnosis (CAD) systems aim to develop or adapt techniques from different areas of Computer Science to contribute to the diagnosis in specific areas. This project proposes a hybrid multimodal approach, integrating three areas of Computer Science (Graphics, Signal Processing and Machine Learning), considering three modalities of input data -- eye tracking signals, facial ima…
Health systems form a complex structure whose understanding and modeling involve multiple factors and their relationships. Brazil's demographic diversity makes Health Management an even more challenging scenario. On the other hand, overcoming them can produce significant advances for Health in Brazil and worldwide. Advanced Artificial Intelligence (AI) methods have generated significant d…
The Virtual Reality, together with other areas of graphic processing, has provided great innovation in simulation and training systems for the various fields of knowledge. The appropriate training of physicians and health professionals requires laboratories that can have high maintenance costs and operation. Although the use of such infrastructure is indispensable for the acquisition of f…
(Only some records are available in English at this moment)
Left ventricle segmentation in Cardiac Magnetic Resonance Imaging is important to obtain biomarkers for heart disease diagnosis. In clinical routine, these exams, comprising a large amount of images, are usually manually or semi-manually segmented by experts, demanding repetitive effort and impacting the quality of diagnosis. Several approaches for automatic segmentation have been propose…
Computer-aided diagnosis schemes of Autism Spectrum Disorder (ASD) aim to classify individuals with typical development or ASD categories based on varied input data. In particular, an approach under development at the Laboratory of Computer Applications for Health Care ( Laboratório de Aplicações de Informática em Saúde - LApIS) of the School of Arts, Sciences, and Humanities at the Unive…
Combining Image Processing and Artificial Intelligence techniques has proven to be a valuable resource for solving problems in the healthcare field, especially regarding Computer-Aided Diagnosis (CAD) based on medical images. In this context, one of the issues currently explored in research conducted at the Laboratory of Health Informatics Applications (LApIS) is the support for diagnosin…
System of Computer Aided Diagnosis based on medical images perform computational techniques to process images and extract information from them, in order to provide a second opinion to the healthcare professional. Aiming to develop and validate these systems, a vast and organized set of images must be available. This project aims to model, implement and validate a database capable of pers…
(Only some records are available in English at this moment)
Autism Spectrum Disorder is a neurodevelopmental disorder characterized by difficulties in social communication and interaction, with effective treatment relying on accurate diagnosis. However, traditional diagnostic methods require costly and complex professional training, motivating researchers at the Laboratory of Computer Applications for Health Care of the University of São Paulo (US…
The virtual rehabilitation process has involved the use of technology to create seriousgames (or exergames) aimed at further involving and engaging the patient in therapy to increaseadhesion and compliance. Virtual Reality (VR) has been used to assist in the motor, cognitive, oremotional recovery of patients, providing opportunities to increase adherence to rehabilitationtreatments by ins…