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Cordero-Grande, L., M. Martin-Fernandez, and C. Alberola-Lopez, "Integration of biomechanical properties in a Markov random field: Application to myocardial motion estimation in cardiomyopathy patients", Quantitative Medical Imaging: Optical Society of America, pp. QW2G–1, 2013.
Ruiz-Aguado, D., M. Martin-Fernández, J. Royuela-del-Val, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Intra Heartbeat Variability as a Tool for Cardiovascular Diagnosis and Monitoring", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 29, Cáceres, Spain, pp. 343-346, 2011.
Ramos-Llordén, G., S. Aja-Fernández, and G. Vegas-Sánchez-Ferrero, "Introduction to speckle filtering", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Lopez-Messa, J B., JR. Garmendia-Leiza, MD. Aguilar-Garcia, J. María And De Llano, J. Ardura-Fernández, and C. Alberola-Lopez, "La edad como factor modificador del ritmo circadiano del infarto agudo de miocardio", Medicina intensiva, vol. 29, no. 9: Elsevier, pp. 455–461, 2005.
Ruiz-Alzola, J., E. Suarez-Santana, C. Alberola-Lopez, and C-F. Westin, "Landmark-Based Registration of Medical-Image Data", Medical Image Analysis Methods, Edited by Lena Costaridou, CRC Press, 2005.
Arribas, J. I., G. V. Sanchez-Ferrero, G. Ruiz-Ruiz, and J. Gomez-Gil, "Leaf classification in sunflower crops by computer vision and neural networks", Computers and Electronics in Agriculture, vol. 78, pp. 9-18, 2011.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals", NeuroImage, vol. 59, no. 4: Academic Press, pp. 4032–4043, 2012.
Royuela-del-Val, J., F. Simmross-Wattenberg, and C. Alberola-Lopez, "Libstable: Fast, parallel, and high-precision computation of α-stable distributions in R, C/C++, and MATLAB", Journal of Statistical Software, vol. 78, issue 1, pp. 1-25, 2017.
Tristán-Vega, A., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Local similarity measures for demons-like registration algorithms", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on: IEEE, pp. 1087–1090, 2008.
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-García, P. Savadjiev, J. L. Alvarado, C-F. Westin, M. Niznikiewicz, P. G. Nestor, and R. W. McCarley, "Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study", NeuroImage: Clinical, vol. 5, pp. 93–99, 2014.
Peña-Nogales, Ó., T. Michael Ellmore, R. de Luis-García, J. Suescun, M. Caryn Schiess, and L. Giancardo, "Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease", Frontiers in Neuroscience, vol. 12, pp. 967, 2018.
Planchuelo-Gómez, Á., P. Odriozola-González, M. Jesús Irurtia, and R. de Luis-García, "Longitudinal evaluation of the psychological impact of the COVID-19 crisis in Spain", Journal of Affective Disorders, vol. 277, pp. 842-849, 2020.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo, "Longitudinal reduction of quality of life in patients with epilepsy and no seizure increase during the COVID-19 pandemic", 7th Congress of the European Academy of Neurology, Virtual Congress, Wiley, 2021.
Planchuelo-Gómez, Á., G. Marchante-Reíllo, Á. Sierra, D. García-Azorín, C. Martín-Martín, R. de Luis-García, S. Aja-Fernández, R. Moro, M. Rodríguez, Y. González-Osorio, et al., "Long-term grey matter structural changes in the transition from chronic migraine to episodic migraine", 8th Congress of the European Academy of Neurology, 2022.
Cordero-Grande, L., J. Royuela-del-Val, M. Martin-Fernandez, and C. Alberola-Lopez, "MOWHARP: Multi-Oriented Windowed HARP Reconstruction for Robust Strain Imaging", Proceedings of the International Society for Magnetic Resonance in Medicine 22, 2014.
Aja-Fernández, S., L. Cordero-Grande, and C. Alberola-Lopez, "A MRI phantom for cardiac perfusion simulation", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 638–641, 2012.
Monge-Alvarez, J., C. Hoyos-Barcelo, L. M. San Jose-Revuelta, and P. Casaseca-de-la-Higuera, "A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features", IEEE Transactions on Biomedical Engineering, vol. 66, pp. 2319-2330, 2019.
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.
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.