Publications

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L
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.
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.
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.
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.
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.
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.
M
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.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device", Biomedical signal processing and control, vol. 33, pp. 96–108, 2017.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Medium-term changes in patients with epilepsy during the COVID-19 pandemic", Acta Neurologica Scandinavica, vol. 144, pp. 450-459, 2021.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple Comparator Classifier Framework for Accelerometer-Based Fall Detection and Diagnostic", Applied Soft Computing, In press, 2015.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic", Applied Soft Computing, vol. 39, pp. 94–103, 2016.

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