TEL Methodologies in Health Education. Effectiveness of a Group Educational Intervention in Patients with T2DM. - Elena Martín-González; María Serrano Galán; Jesús Martín González; Angélica González Arrieta (MIS4TEL, 2017)

Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach. - Elena Martín-González; Rodrigo de Luis García; J. Pablo Casaseca-de-la-Higuera; Jose Ramon-Garmendia Leiza; Jesus Maria Andres-de-Llano; Carlos Alberola-López (TEEM, 2018)

OpenCLIPER: An OpenCL-Based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices. - Federico Simmross-Wattenberg; Manuel Rodríguez-Cayetano; Javier Royuela-del-Val; Elena Martín-González; Elisa Moya-Sáez; Marcos Martín-Fernández; Carlos Alberola-López (IEEE J. Biomed. Health Informatics, 2019)

Groupwise Non-Rigid Registration with Deep Learning: An Affordable Solution Applied to 2D Cardiac Cine MRI Reconstruction. - Elena Martín-González; Teresa Sevilla-Ruiz; Ana Revilla-Orodea; Pablo Casaseca-de-la-Higuera; Carlos Alberola-López (Entropy, 2020)

Physics-Informed Self-supervised Deep Learning Reconstruction for Accelerated First-Pass Perfusion Cardiac MRI. - Elena Martín-González; Ebraham Alskaf; Amedeo Chiribiri; Pablo Casaseca-de-la-Higuera; Carlos Alberola-López; Rita Gouveia Nunes; Teresa Correia (MLMIR@MICCAI, 2021)

A clinically viable vendor-independent and device-agnostic solution for accelerated cardiac MRI reconstruction. - Elena Martín-González; Elisa Moya-Sáez; Rosa-María Menchón-Lara; Javier Royuela-del-Val; César Palencia de Lara; Manuel Rodríguez-Cayetano; Federico Simmross-Wattenberg; Carlos Alberola-López (Comput. Methods Programs Biomed., 2021)