Zobrazeno 1 - 10
of 1 274
pro vyhledávání: '"García, Vega"'
The Paris Agreement aims to reach net zero greenhouse gas (GHG) emissions in the second half of the 21st century, and the Oil & Gas sector plays a key role in achieving this transition. Understanding progress in emission reductions in the private sec
Externí odkaz:
http://arxiv.org/abs/2305.11906
Autor:
Espinosa, Ricardo, Garcia-Vega, Carlos Axel, Ochoa-Ruiz, Gilberto, Lamarque, Dominique, Daul, Christian
This contribution shows how an appropriate image pre-processing can improve a deep-learning based 3D reconstruction of colon parts. The assumption is that, rather than global image illumination corrections, local under- and over-exposures should be c
Externí odkaz:
http://arxiv.org/abs/2304.03171
Publikováno v:
Doxa Comunicación, Iss 40 (2024)
El objetivo principal de esta investigación es analizar la evolución del perfil del profesional de la información y sus competencias en el uso de las redes sociales como medios de comunicación. Para ello, se toma como objeto de estudio el perfil
Externí odkaz:
https://doaj.org/article/f084261de899423db2c39bac929be568
Autor:
Garcia-Vega, Axel, Espinosa, Ricardo, Ramirez-Guzman, Luis, Bazin, Thomas, Falcon-Morales, Luis, Ochoa-Ruiz, Gilberto, Lamarque, Dominique, Daul, Christian
Endoscopy is the most widely used imaging technique for the diagnosis of cancerous lesions in hollow organs. However, endoscopic images are often affected by illumination artefacts: image parts may be over- or underexposed according to the light sour
Externí odkaz:
http://arxiv.org/abs/2210.15033
Autor:
Garcia-Vega, Axel, Espinosa, Ricardo, Ochoa-Ruiz, Gilberto, Bazin, Thomas, Falcon-Morales, Luis Eduardo, Lamarque, Dominique, Daul, Christian
Endoscopy is the most widely used medical technique for cancer and polyp detection inside hollow organs. However, images acquired by an endoscope are frequently affected by illumination artefacts due to the enlightenment source orientation. There exi
Externí odkaz:
http://arxiv.org/abs/2207.02396
Autor:
Chavarrias-Solano, Pedro Esteban, Garcia-Vega, Carlos Axel, Lopez-Tiro, Francisco Javier, Ochoa-Ruiz, Gilberto, Bazin, Thomas, Lamarque, Dominique, Daul, Christian
In this contribution we use an ensemble deep-learning method for combining the prediction of two individual one-stage detectors (i.e., YOLOv4 and Yolact) with the aim to detect artefacts in endoscopic images. This ensemble strategy enabled us to impr
Externí odkaz:
http://arxiv.org/abs/2206.07580
Autor:
Hernández-Bermejo, David, García-Vega, Celia, Rubio-García, Juan Jesús, Villodre-Tudela, Celia, Carbonell-Morote, Silvia, Ramia, José Manuel
Publikováno v:
In Cirugia Espanola November 2024 102(11):582-589
Autor:
Fuentes-Pérez, Juan Francisco, Bravo-Córdoba, Francisco Javier, García-Vega, Ana, Eckert, Mario, Branco, Paulo, Sanz-Ronda, Francisco Javier
Publikováno v:
In Journal of Hydrology November 2024 643
Autor:
Hernández-Bermejo, David, García-Vega, Celia, Rubio-García, Juan Jesús, Villodre-Tudela, Celia, Carbonell-Morote, Silvia, Ramia, José Manuel
Publikováno v:
In Cirugía Española (English Edition) November 2024 102(11):582-589