Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Edgar R. Arce-Santana"'
Autor:
D. I. Medina-Ibarra, I. Chouvarda, J. S. Murguia, Alfonso Alba, Edgar R. Arce-Santana, Anna M. Bianchi, Martin O. Mendez
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 30, Pp 2721-2731 (2022)
Electroencephalography (EEG) signals convey information related to different processes that take place in the brain. From the EEG fluctuations during sleep, it is possible to establish the sleep stages and identify short events, commonly related to a
Externí odkaz:
https://doaj.org/article/013012b2dcbc42a9b332b9a5d2d02fe8
Autor:
V. E. Arce-Guevara, Edgar R. Arce-Santana, Alfonso Alba, Emilio Sacristan-Rock, Joaquin Azpiroz-Leehan, Martin O. Mendez
Publikováno v:
Multimedia Tools and Applications. 79:1519-1534
An assisted method to segment Visceral Adipose Tissue (VAT) and Subcutaneous Adipose Tissue (SAT) from Magnetic Resonance Imaging (MRI) slices is presented. The segmentation process, called shape-based segmentation, consists in three main steps: 1) t
Autor:
Leopoldo Cendejas-Zaragoza, Diomar E. Rodriguez-Obregon, Aldo R. Mejia-Rodriguez, Edgar R. Arce-Santana, Alejandro Santos-Diaz
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
A two-step method for obtaining a volumetric estimation of COVID-19 related lesion from CT images is proposed. The first step consists in applying a U-NET convolutional neural network to provide a segmentation of the lung-parenchyma. This architectur
Autor:
Edgar R. Arce-Santana, M. J. Velázquez-Durán, Aldo R. Mejía-Rodríguez, Daniel U. Campos-Delgado
Publikováno v:
Health and Technology. 10:429-435
Image registration is an important task in medical imaging, capable of finding displacement fields to align two images of the same anatomic structure under different conditions (e.g. acquisition time and body position). Specifically, multimodal image
Autor:
Martin O. Mendez, Edgar R. Arce-Santana, Ildefonso Rodriguez-Leyva, Alejandro Reyes, Alfonso Alba
Multiple Sclerosis (MS) is the most common neurodegenerative disease among young adults. Diagnosis and progress monitoring of MS is performed by the aid of T2-weighted or T2 FLAIR magnetic resonance imaging, where MS lesions appear as hyperintense sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04ff3f8d7c2fc2f0469ec65fb252157f
https://doi.org/10.17488/rmib.41.3.3
https://doi.org/10.17488/rmib.41.3.3
Autor:
Edgar R. Arce-Santana, Aldo R. Mejía-Rodríguez, Mariana Teresa Alvarez-Gutiérrez, Ines Alejandro Cruz-Guerrero
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
The use and analysis of ultrasound images (US) is one of the safest and most accessible ways to monitor and diagnose illness; however, expert knowledge is required for the interpretation of these images. The aim of this project is to propose a practi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e68eea6f3bed8d7207616241ab824291
https://doi.org/10.1007/978-3-030-30648-9_51
https://doi.org/10.1007/978-3-030-30648-9_51
Autor:
Sonia Charleston-Villalobos, Sarahí Hernández-Juárez, A. T. Aljama-Corrales, M. Mejia-Avila, Aldo R. Mejía-Rodríguez, Edgar R. Arce-Santana, Ramón González-Camarena
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
In this work, a strategy for the segmentation of Interstitial Lung Diseases (ILD) from a High-Resolution Computed Tomography (HRCT) volumetric image by means of a U-Net convolutional network is presented. In particular, the delimitation of Idiopathic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4fd43b40f89bb2688bbdc8c3a4a124e
https://doi.org/10.1007/978-3-030-30648-9_55
https://doi.org/10.1007/978-3-030-30648-9_55
Publikováno v:
IET Image Processing. 11:1246-1253
In this study, a new framework for multimodal image registration is proposed based on the expectation–maximisation (EM) methodology. This framework allows to address simultaneously parametric and elastic registrations independently on the modality
A series of short events, called A-phases, can be observed in the human electroencephalogram during NREM sleep. These events can be classified in three groups (A1, A2 and A3) according to their spectral contents, and are thought to play a role in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0af6802a420664b2257bb6e6685ae19e