Publications

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Author Title [ Type(Desc)] Year
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Conference Paper
Hoyos-Barceló, C., J. Ramón Garmendia-Leiza, MD. Aguilar-Garcia, J. Monge-Álvarez, D. Asay Pérez-Alonso, C. Alberola-López, and P. Casaseca-de-la-Higuera, "Evaluation in a real environment of a trainable cough monitoring app for smartphones", Mediterranean Conference on Medical and Biological Engineering and Computing: Springer, Cham, pp. 1175–1180, 2019.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-López, "Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach", Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, New York, NY, USA, ACM, 2018.
Journal Article
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-López, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Godino-Moya, A., R-M. Menchón-Lara, M. Martín-Fernández, C. Prieto, and C. Alberola-López, "Elastic AlignedSENSE for Dynamic MR Reconstruction: A Proof of Concept in Cardiac Cine", Entropy, vol. 23, pp. 555, 2021.
Martín-González, E., T. Sevilla, A. Revilla-Orodea, P. Casaseca-de-la-Higuera, and C. Alberola-López, "Groupwise Non-Rigid Registration with Deep Learning: An Affordable Solution Applied to 2D Cardiac Cine MRI Reconstruction", Entropy, vol. 22, pp. 687, 2020.
Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Integration of an Intelligent Tutoring System in a Magnetic Resonance Simulator for Education: Technical Feasibility and User Experience", Computer Methods and Programs in Biomedicine, pp. 105634, 2020.
Treceño-Fernández, D., J. Calabia-del-Campo, F. Matute-Teresa, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience", Sensors, vol. 21, pp. 6011, 2021.
Menchón-Lara, R-M., F. Simmross-Wattenberg, P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-López, "Reconstruction techniques for cardiac cine MRI", Insights into imaging, vol. 10, no. 1: Springer Berlin Heidelberg, pp. 100, 2019.
Moya-Sáez, E., R. de Luis-García, and C. Alberola-López, "Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI", Frontiers in Neuroimaging, vol. 2, 2023.
Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez Sánchez, R. de Luis-García, and C. Alberola-López, "A Web-Based Educational Magnetic Resonance Simulator: Design, Implementation and Testing", Journal of Medical Systems, vol. 44, pp. 9, 2020.
Moya-Sáez, E., Ó. Peña-Nogales, R. de Luis-García, and C. Alberola-López, "A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data", Computer Methods and Programs in Biomedicine, vol. 210, pp. 106371, 2021.