Holds a Bachelors degree (2019) and a Masters degree (2022) in Computer Science from São Paulo State University (Unesp), Brazil. Has research experience in the field of Computer Science, with a focus on Graphics Processing, Computer Vision, and Computational Intelligence. During her undergraduate studies, she carried out a long-term Scientific Initiation project supported by the program Promotion of the Unesp Entrance Exam and Inclusion of Outstanding Public School Students in the University, organized by the Unesp Entrance Exam Foundation (Fundação Vunesp) and linked to the Outreach, Guidance, and Professional Information Program of the Office of University Extension and Culture. At the graduate level, she was funded by the São Paulo Research Foundation (FAPESP), conducting research on Deep Learning and Retinal Image Registration. Currently, she is a Ph.D. candidate in Computer Science, with research focused on the application of Deep Learning techniques for deforestation area segmentation. (Source: Lattes Curriculum)
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The use of imaging exams is very common in the ophthalmology field. In this medical branch, fundus images acquired at different moments or from different equipments are used to aid medical diagnoses as well as to track the progress of diseases. Such a problem is known in the medical imaging literature as image registration, which has been experiencing important advances due to the systema…
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