Browsing by author "González-Gutiérrez, Carlos"

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star

Díez Alonso, Enrique

; González Hernandez, J. I.; Toledo Padrón, B.; Suárez Gómez, Sergio Luis

; Suárez Mascareno, A.; Aguado, D. S.; González Gutiérrez, Carlos

; Cabrera Lavers, A.; Carballido Landeira, Jorge

; Bonavera, Laura

; Cos Juez, Francisco Javier de

; Rebolo, R. (2019)

Adaptive optics correction using recurrent neural networks for wavefront prediction

Pérez Fernández, Saúl

; Buendía Roca, Alejandro

; González Gutiérrez, Carlos

; Rodríguez Rodríguez, Javier

; Iglesias Álvarez, Santiago

; Anangonó Tutasig, Ronny; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

(2023)

Analysing the performance of a tomographic reconstructor with different neural networks frameworks

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Sánchez Lasheras, Fernando

; Cos Juez, Francisco Javier de

(2017)

An approach using deep learning for tomographic reconstruction in solar observation

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Sánchez Lasheras, Fernando

; Basden, A. G.; Montilla, I.; Reyes, M.; Collados Vera, M.; Cos Juez, Francisco Javier de

(2017)

An artificial neural network model for the prediction of bruxism by means of occlusal variables

Álvarez Arenal, Ángel

; Llanos Lanchares, Héctor de

; Martín Fernández, Elena

; González Gutiérrez, Carlos

; Mauvezín Quevedo, Mario Andrés

; Cos Juez, Francisco Javier de

(2018)

Atmospheric Tomography Using Convolutional Neural Networks

González Gutiérrez, Carlos

; Beltramo Martin, O.; Osborn, J.; Calvo Rolle, José Luis; Cos Juez, Francisco Javier de

(2020)

Comparative study of neural network frameworks for the next generation of adaptive optics systems

González Gutiérrez, Carlos

; Santos Rodríguez, Jesús Daniel

; Martínez Zarzuela, M.; Basden, A. G.; Osborn, J.; Díaz Pernas, F. J.; Cos Juez, Francisco Javier de

(2017)

Comparative study of Shack-Hartmann configurations for atmospheric turbulence reconstructions in solar adaptive optics

García Riesgo, Francisco

; Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; González Gutiérrez, Carlos

; Martín Hernando, Yolanda; Montoya Martínez Luz María; Asensio Ramos, Andrés; Collados Vera, Manuel; Núñez Cagigal, Miguel; Cos Juez, Francisco Javier de

(2022)

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis

deLlanos-Lanchares, Héctor; Alvarez-Arenal, Ángel

; Bobes Bascaran, Javier; González-Gutiérrez, Carlos

; Suarez Sanchez, Ana

; Blanco Álvarez, Francisco

(Taylor & Francis, 2019)

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis

Llanos Lanchares, Héctor de

; Álvarez Arenal, Ángel

; Bobes Bascarán, Javier; González Gutiérrez, Carlos

; Suárez Sánchez, Ana

; Blanco Álvarez, Francisco

(2018)

Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors

Rodríguez Ramos, Luis Fernando; Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díaz Suárez, Juan; Fernández Valdivia, J. J.; Rodríguez Ramos, J. M. (2021)

Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Bonavera, Laura

; Fernández Valdivia, J. J.; Rodríguez Ramos, J. M.; Rodríguez Ramos, L. F. (2018)

Constraining the polarisation flux density and angle of point sources by training a convolutional neural network

Casas González, José Manuel

; Bonavera, Laura

; González-Nuevo González, Joaquín

; Muñiz Cueli, Marcos

; Crespo Iglesias, David

; Goitia, E.; González Gutiérrez, Carlos

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Cos Juez, Francisco Javier de

(2023)

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

García Riesgo, Francisco

; Suárez Gómez, Sergio Luis

; Sánchez Lasheras, Fernando

; González Gutiérrez, Carlos

; Peñalver San Cristóbal, Carmen; Cos Juez, Francisco Javier de

(2019)

Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations

Suárez Gómez, Sergio Luis

; González-Gutiérrez, Carlos

; García Riesgo, Francisco

; Sánchez Rodríguez, María Luisa

; Iglesias Rodríguez, Francisco Javier

; Santos, Jesús Daniel (2019)

Deep learning wavefront reconstruction for collimated beams with experimental data

González Gutiérrez, Carlos

; Bharmal, N. A.; Rodríguez Muro, Jorge

; Cos Juez, Francisco Javier de

(2022)

Defocused image deep learning designed for wavefront reconstruction in tomographic pupil image sensors

Suárez Gómez, Sergio Luis

; García Riesgo, Francisco

; González Gutiérrez, Carlos

; Rodríguez Ramos, Luis Fernando; Santos Rodríguez, Jesús Daniel

(2021)

Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations

García Riesgo, Francisco

; Suárez Gómez, Sergio Luis

; Santos Rodríguez, Jesús Daniel

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Iglesias Rodríguez, Francisco Javier

; Riesgo Fernández, Pedro

; Bonavera, Laura

; Fernández Menéndez, Susana del Carmen

; Cos Juez, Francisco Javier de

(2020)

Enhancing open-loop wavefront prediction in adaptive optics through 2d-lstm neural network implementation

Pérez Fernández, Saúl

; Buendía Roca, Alejandro

; González Gutiérrez, Carlos

; Rodríguez Rodríguez, Javier

; Iglesias Álvarez, Santiago

; Fernández J.; Cos Juez, Francisco Javier de

(2024)

Experience with artificial neural networks applied in multi-object adaptive optics

Suárez Gómez, Sergio Luis

; González Gutiérrez, Carlos

; Díez Alonso, Enrique

; Santos Rodríguez, Jesús Daniel

; Sánchez Rodríguez, María Luisa

; Morris, T.; Osborn, J.; Basden, A.; Bonavera, Laura

; González-Nuevo González, Joaquín

; Cos Juez, Francisco Javier de

(2019)

Browsing by author "González-Gutiérrez, Carlos"

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star ﻿

Adaptive optics correction using recurrent neural networks for wavefront prediction ﻿

Analysing the performance of a tomographic reconstructor with different neural networks frameworks ﻿

An approach using deep learning for tomographic reconstruction in solar observation ﻿

An artificial neural network model for the prediction of bruxism by means of occlusal variables ﻿

Atmospheric Tomography Using Convolutional Neural Networks ﻿

Comparative study of neural network frameworks for the next generation of adaptive optics systems ﻿

Comparative study of Shack-Hartmann configurations for atmospheric turbulence reconstructions in solar adaptive optics ﻿

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis ﻿

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis ﻿

Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors ﻿

Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors ﻿

Constraining the polarisation flux density and angle of point sources by training a convolutional neural network ﻿

Convolutional CARMEN: Tomographic Reconstruction for Night Observation ﻿

Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations ﻿

Deep learning wavefront reconstruction for collimated beams with experimental data ﻿

Defocused image deep learning designed for wavefront reconstruction in tomographic pupil image sensors ﻿

Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations ﻿

Enhancing open-loop wavefront prediction in adaptive optics through 2d-lstm neural network implementation ﻿

Experience with artificial neural networks applied in multi-object adaptive optics ﻿

A transiting super-Earth close to the inner edge of the habitable zone of an M0 dwarf star

Adaptive optics correction using recurrent neural networks for wavefront prediction

Analysing the performance of a tomographic reconstructor with different neural networks frameworks

An approach using deep learning for tomographic reconstruction in solar observation

An artificial neural network model for the prediction of bruxism by means of occlusal variables

Atmospheric Tomography Using Convolutional Neural Networks

Comparative study of neural network frameworks for the next generation of adaptive optics systems

Comparative study of Shack-Hartmann configurations for atmospheric turbulence reconstructions in solar adaptive optics

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis

Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis

Compensating atmospheric turbulence with CNNs for defocused pupil image wavefront sensors

Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors

Constraining the polarisation flux density and angle of point sources by training a convolutional neural network

Convolutional CARMEN: Tomographic Reconstruction for Night Observation

Convolutional Neural Networks Approach for Solar Reconstruction in SCAO Configurations

Deep learning wavefront reconstruction for collimated beams with experimental data

Defocused image deep learning designed for wavefront reconstruction in tomographic pupil image sensors

Early Fully-Convolutional Approach to Wavefront Imaging on Solar Adaptive Optics Simulations

Enhancing open-loop wavefront prediction in adaptive optics through 2d-lstm neural network implementation

Experience with artificial neural networks applied in multi-object adaptive optics