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pro vyhledávání: '"Jonás Grande-Barreto"'
Autor:
Jonás Grande-Barreto, Pilar Gomez-Gil
Publikováno v:
J Digit Imaging
Brain tissue segmentation in magnetic resonance imaging volumes is an important image processing step for analyzing the human brain. This paper presents a novel approach named Pseudo-Label Assisted Self-Organizing Map (PLA-SOM) that enhances the resu
Autor:
Jonás Grande-Barreto
Publikováno v:
Instituto Nacional de Astrofísica, Óptica y Electrónica
INAOE
Repositorio Institucional del INAOE
INAOE
Repositorio Institucional del INAOE
Brain tissue segmentation using magnetic resonance imaging (MRI) rises as an essential tool for the human brain’s clinical analysis. The advances in brain MRI provide a large amount of data with high spatial resolution. However, different imaging d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::9d6c31369834e38b184a62465cd202cd
http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2113
http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/2113
Autor:
Jonas Grande-Barreto, Eduardo Polanco-Castro, Hayde Peregrina-Barreto, Eduardo Rosas-Mialma, Carmina Puig-Mar
Publikováno v:
Information, Vol 14, Iss 7, p 375 (2023)
Creating synthetic images of trabecular tissue provides an alternative for researchers to validate algorithms designed to study trabecular bone. Developing synthetic images requires baseline data, such as datasets of digital biological samples or tem
Externí odkaz:
https://doaj.org/article/8ce8108c605448489424b6f8dfb240b3
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
Early detection of fault events through electromechanical systems operation is one of the most attractive and critical data challenges in modern industry. Although these electromechanical systems tend to experiment with typical faults, a common event
Externí odkaz:
https://doaj.org/article/018f20ef02214080bb44d38db79a1f61