María-José Rodríguez-Alvarez

According to our database, María-José Rodríguez-Alvarez authored at least 14 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease.

Joan Prats-Climent, Maria Teresa Gandia-Ferrero, Irene Torres-Espallardo, Lourdes Álvarez-Sanchez, Begoña Martínez-Sanchis, Consuelo Cháfer-Pericás, Ignacio Gómez-Rico, Leonor Cerdá Alberich, Fernando Aparici-Robles, Miquel Baquero-Toledo, María-José Rodríguez-Alvarez, Luis Martí-Bonmatí

J. Medical Syst., 2022

2021

Simulation Study of a Frame-Based Motion Correction Algorithm for Positron Emission Imaging.

Hector Espinó Morató, David Cascales-Picó, Marina Vergara, Ángel Hernández-Martínez, José María Benlloch Baviera, María-José Rodríguez-Alvarez

Sensors, 2021

Fast Energy Dependent Scatter Correction for List-Mode PET Data.

Juan Manuel Álvarez-Gómez, Joaquín Santos-Blasco, Laura Moliner Martínez, María-José Rodríguez-Alvarez

J. Imaging, 2021

MRI Images, Brain Lesions and Deep Learning.

Darwin Castillo, Vasudevan Lakshminarayanan, María-José Rodríguez-Alvarez

CoRR, 2021

Image Motion Correction of GATE Simulation in Dedicated PET Scanner with Open Geometry.

Hector Espinó Morató, David Cascales-Picó, Marina Vergara, María-José Rodríguez-Alvarez

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

DenseNet for Breast Tumor Classification in Mammographic Images.

Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Hector Espinó Morató, Darwin Castillo Malla, Vasudevan Lakshminarayanan

Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020

Simulation Study for Designing a Dedicated Cardiac TOF-PET System.

Sandra Oliver, Laura Moliner, Víctor Ilisie, José María Benlloch, María-José Rodríguez-Alvarez

Sensors, 2020

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review.

Yuliana Jiménez-Gaona, María-José Rodríguez-Alvarez, Vasudevan Lakshminarayanan

CoRR, 2020

2013

Expectation maximization (EM) algorithms using polar symmetries for computed tomography (CT) image reconstruction.

María-José Rodríguez-Alvarez, Antonio Soriano, Amadeo Iborra, Filomeno Sánchez, A. J. González, Pablo Conde, L. Hernández, Laura Moliner, A. Orero, L. F. Vidal, José María Benlloch

Comput. Biol. Medicine, 2013

2011

Exploiting symmetries for weight matrix design in CT imaging.

María-José Rodríguez-Alvarez, Filomeno Sánchez, Antonio Soriano, Amadeo Iborra, Cibeles Mora

Math. Comput. Model., 2011

2010

Sparse Givens resolution of large system of linear equations: Applications to image reconstruction.

María-José Rodríguez-Alvarez, Filomeno Sánchez, Antonio Soriano, Amadeo Iborra

Math. Comput. Model., 2010

2008

New pixellation scheme for CT algebraic reconstruction to exploit matrix symmetries.

Cibeles Mora, María-José Rodríguez-Alvarez, José Vicente Romero

Comput. Math. Appl., 2008

2006

Constructing eigenfunctions of non-selfadjoint coupled parabolic boundary problems.

María-José Rodríguez-Alvarez, I. Baeza, J. Moreno, Belén García

Math. Comput. Model., 2006

2003

Exact solution of variable coefficient mixed hyperbolic partial differential problems.

María-José Rodríguez-Alvarez, Gregorio Rubio, Lucas Jódar, A. E. Posso

Appl. Math. Lett., 2003