CV Lattes
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Universidade de São Paulo (USP). Escola Politécnica (EP) (Institutional affiliation from the last research proposal) Birthplace: Coréia do Sul
Holds a bachelor's degree in Naval Architecture and Ocean Engineering and is currently pursuing a master's degree in Mechanical Engineering with a focus on Control and Mechanical Automation at the Polytechnic School of USP. Researcher in Computational Fluid Dynamics at the Numerical Offshore Tank (TPN-USP). His main research interests include artificial neural networks and computer vision. (Source: Lattes Curriculum)
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The project proposes the use of deep neural networks for the three-dimensional reconstruction of images in Electrical Impedance Tomography (EIT), aiming to enhance the quality and efficiency of traditional methods. The approach includes automatic segmentation of medical images, generation of conductivity meshes, and the development of advanced generative models. To achieve this, various d…
In this research, 3D computed tomography (TC) images of the human chest will be automatically segmented. Bones, heart, lungs, airways, and skin will be segmented. These results will be used in other scientific initiation, where the segmented organs will be used in the creation of 3D meshes with electrodes. This 3D meshes will be used to create a dataset for training neural networks that w…
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