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Universidade de São Paulo (USP). Escola de Artes, Ciências e Humanidades (EACH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
PHD candidate at the Postgraduate Program in Information Systems at the University of São Paulo (2022-Current). Master of Science in Information Systems at USP (2021). Bachelor in Information Systems from the School of Arts, Sciences and Humanities, USP-EACH (2018). He performed scientific initiation in a project for gamification of a dental anesthesia simulator (2016-2018). Matheus has experience in Robotics, Mechatronics, Automation and Programming, with an emphasis on Mechatronics and Programming. He is interested in the areas of image processing, artificial intelligence and medical image segmentation. (Source: Lattes Curriculum)
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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…
Cardiac magnetic resonance imaging is recognized as the gold standard for the diagnosis of various heart diseases. From the segmentation and analysis of the left ventricle in these exams, clinical metrics used in diagnoses can be obtained. However, manual segmentation of the left ventricle in the numerous magnetic resonance images requires time and repetitive effort from the expert, which…
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