Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Ulises, Moya"'
Autor:
E. Ulises Moya-Sanchez, Sebastia Xambo-Descamps, Abraham Sanchez Perez, Sebastian Salazar-Colores, Ulises Cortes
Publikováno v:
IEEE Access, Vol 9, Pp 163735-163746 (2021)
At present, Convolutional Neural Networks (ConvNets) achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of mammalian visual systems such as invariance to contrast and illumination
Externí odkaz:
https://doaj.org/article/8cc8f641aee847f088c9f95b929b9811
Autor:
Sebastián Salazar-Colores, Hugo A. Moreno, Ulises Moya, César J. Ortiz-Echeverri, Luis A. Tavares de la Paz, Gerardo Flores
Publikováno v:
Cirugía y Cirujanos, Vol 90, Iss 1 (2022)
Antecedentes: Durante la cirugía laparoscópica, la calidad de la imagen puede verse gravemente degradada por el humo quirúrgico causado por el uso de herramientas de disección de tejidos que reducen la visibilidad de los órganos y tejidos. Objet
Externí odkaz:
https://doaj.org/article/bab96dadf8704600bf1c5c983177aff3
Autor:
Ulises Moya
Publikováno v:
Umática, Vol 3, Iss 4 (2021)
Este articulo analiza y hace un recorrido por el proceso de diseño y fabricación de Mojado, una pieza de artesanía contemporánea que revisa el icónico botijo español y su proceso de fabricación, partiendo de la de la exploración de la arcilla
Externí odkaz:
https://doaj.org/article/7f0d3139d4934e1e83654a3313a83b1a
Autor:
Sebastian Salazar-Colores, E. Ulises Moya-Sanchez, Juan-Manuel Ramos-Arreguin, Eduardo Cabal-Yepez, Gerardo Flores, Ulises Cortes
Publikováno v:
IEEE Access, Vol 8, Pp 149176-149189 (2020)
Haze is a source of unreliability for computer vision applications in outdoor scenarios, and it is usually caused by atmospheric conditions. The Dark Channel Prior (DCP) has shown remarkable results in image defogging with three main limitations: 1)
Externí odkaz:
https://doaj.org/article/15b2d2ef0bb3427786aaf5df9aa011e5
Autor:
Atia Cortés, Abraham Sánchez, Dario Garcia-Gasulla, Ulises Cortés, E. Ulises Moya-Sánchez, Cristian Barrué
Publikováno v:
IEEE Technology and Society Magazine. 40:55-70
In the last decade, there has been an explosion in the progress and applications of artificial intelligence (AI) in our society. For the first time, the applications of AI have left the laboratory to reach society in a broad, visible, and relevant wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95b46e0a1f393b0047d4a9e2a2bdaae0
https://doi.org/10.1109/mts.2021.3056173
https://doi.org/10.1109/mts.2021.3056173
Autor:
Abraham Sánchez, E. Ulises Moya-Sánchez, Gaspar Gonzalez-Briceno, German Alonso Pinedo Diaz, Susana Ortega-Cisneros, Mario Salvador Garcia Contreras
Publikováno v:
Computer. 53:77-87
This article introduces a diabetic retinopathy screening program based on artificial intelligence that will be implemented in three hospitals in Mexico. It details the steps for the clinical integration of the system and tests preliminary convolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aa8a57331de519a87e7d3110606f83d
https://doi.org/10.1109/mc.2020.3004392
https://doi.org/10.1109/mc.2020.3004392
Autor:
Sebastià Xambó-Descamps, Ulises Cortés, Sebastián Salazar-Colores, Abraham Sánchez Pérez, Jorge Martínez-Ortega, E. Ulises Moya-Sánchez
Publikováno v:
Pattern Recognition Letters. 131:56-62
Deep learning models have been particularly successful with image recognition using Convolutional Neural Networks (CNN). However, the learning of a contrast invariance and rotation equivariance response may fail even with very deep CNNs or by large d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed828496e48fcc253b41e9578192fa10
https://doi.org/10.1016/j.patrec.2019.12.001
https://doi.org/10.1016/j.patrec.2019.12.001
Autor:
Eduard Ayguadé, Ivanna Marcantonio, Octavi Font, Abraham Sánchez-Pérez, Eduardo Ulises Moya-Sánchez, José I. Vela, Ulises Cortés, Miguel A Zapata, Dídac Royo-Fibla, Jesús Labarta, Dario Garcia-Gasulla
Publikováno v:
Clinical Ophthalmology. 14:419-429
Purpose To assess the performance of deep learning algorithms for different tasks in retinal fundus images: (1) detection of retinal fundus images versus optical coherence tomography (OCT) or other images, (2) evaluation of good quality retinal fundu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::638b5fab9de5e2a12310dd5d34566ecb
https://doi.org/10.2147/opth.s235751
https://doi.org/10.2147/opth.s235751
Autor:
Sebastián, Salazar-Colores, Hugo A, Moreno, Ulises, Moya, César J, Ortiz-Echeverri, Luis A Tavares de la, Paz, Gerardo, Flores
Publikováno v:
Cirugia y cirujanos. 90(1)
In laparoscopic surgery, image quality can be severely degraded by surgical smoke caused by the use of tissue dissection tools that reduce the visibility of the observed organs and tissues.Improve visibility in laparoscopic surgery by combining image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d954364d49c5a4a6cea63f51f617a94d
https://pubmed.ncbi.nlm.nih.gov/35120113
https://pubmed.ncbi.nlm.nih.gov/35120113
Autor:
Eduardo Cabal-Yepez, Eduardo Ulises Moya-Sánchez, Juan-Manuel Ramos-Arreguin, Sebastián Salazar Colores
Publikováno v:
IET Image Processing. 13:2877-2887
Outdoor scenes often contain atmospheric degradation, such as fog or haze, which deteriorate the performance of tracking, autonomous driving and surveillance systems, among others, making dehazing methods an area of considerable interest. However, so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dceab94b1a0f47ded0a166c5a06c3c99
https://doi.org/10.1049/iet-ipr.2018.6403
https://doi.org/10.1049/iet-ipr.2018.6403