Publications

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Journal Article
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", bioRxiv, 2021.
De Luca, A., A. Ianus, A. Leemans, M. Palombo, N. Shemesh, H. Zhang, D. C. Alexander, M. Nilsson, M. Froeling, G-J. Biessels, et al., "On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge", NeuroImage, pp. 118367, 2021.
Merino-Caviedes, S., L. Gutiérrez, J. Alfonso-Almazán, S. Sanz-Estébanez, L. Cordero-Grande, J. Quintanilla, J. Sánchez-González, M. Marina-Breysse, C. Galán-Arriola, D. Enríquez-Vázquez, et al., "Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy", Scientific Reports, vol. 11, 2021.
Fernández-Linsenbarth, I., Á. Planchuelo-Gómez, R. M. Beño-Ruiz-de-la-Sierra, A. Díez, A. Arjona, A. Pérez, A. Rodríguez-Lorenzana, P. del Valle, R. de Luis-García, G. Mascialino, et al., "Search for schizophrenia and bipolar biotypes using functional network properties", Brain and Behavior, vol. 11, pp. e2415, 2021.
Fernández-Linsenbarth, I., Á. Planchuelo-Gómez, Á. Díez, A. Arjona-Valladares, R. de Luis-García, Ó. Martín-Santiago, J. Antonio Benito-Sánchez, Á. Pérez-Laureano, D. González-Parra, C. Montes-Gonzalo, et al., "Neurobiological underpinnings of cognitive subtypes in psychoses: A cross-diagnostic cluster analysis", Schizophrenia Research, vol. 229, pp. 102-111, 2021.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Factores de riesgo cardiovascular en el ritmo circadiano del infarto agudo de miocardio", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
Roig-Herrero, A., Á. Planchuelo-Gómez, M. Hernández-García, R. de Luis-García, I. Fernández-Linsenbarth, R. M. Beño-Ruiz-de-la-Sierra, and V. Molina, "Default mode network components and its relationship with anomalous self-experiences in schizophrenia: A rs-fMRI exploratory study", Psychiatry Research: Neuroimaging, vol. 324, pp. 111495, 2022.
Cid-Sueiro, J., J. I. Arribas, S. Urban-Munoz, and A. R. Figueiras-Vidal, "Cost functions to estimate a posteriori probabilities in multiclass problems", IEEE Transactions on Neural Networks, vol. 10, pp. 645-656, 1999.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Cardiovascular risk factors in the circadian rhythm of acute myocardial infarction", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
Cárdenes-Almeida, R., E. Muñoz-Moreno, R. Sarabia-Herrero, M. Rodríguez-Velasco, J. José Fuertes-Alija, and M. Martin-Fernandez, "Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging", NeuroImage, vol. 50, no. 1: Elsevier, pp. 27–39, 2010.
Royuela, A., M. A. Padilla-Marcos, A. Meiss, P. Casaseca-de-la-Higuera, and J. Feijó-Muñoz, "Air Infiltration Monitoring using Thermography and Neural Networks", Energy and Buildings, vol. 191, pp. 187-199, 05/2019.
Fuster, A., T. Dela-Haije, A. Tristán-Vega, B. Plantinga, C-F. Westin, and L. Florack, "Adjugate Diffusion Tensors for Geodesic Tractography in White Matter", Journal of Mathematical Imaging and Vision, vol. 54, pp. 1–14, 2015.
Fuster, A., T. Dela-Haije, A. Tristán-Vega, B. Plantinga, C-F. Westin, and L. Florack, "Adjugate Diffusion Tensors for Geodesic Tractography in White Matter", Journal of Mathematical Imaging and Vision, vol. 54, pp. 1–14, 2015.
Conference Proceedings
Cárdenes-Almeida, R., A. Tristán-Vega, GVS. Ferrero, and S. Aja-Fernández, "Usimagtool: an open source freeware software for ultrasound imaging and elastography", International Work on Multimodal Interfaces, eNTERFACE, Istambul, Turkey, pp. 117–127, 2007.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín Fernández, and C. Alberola-Lopez, "Modelado Estadístico de Señales Fotopletismográficas para la Construcción de Atlas Poblacionales Orientados a la Evaluación y Seguimiento del Remodelado Cardiovascular", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 29, Cáceres, Spain, pp. 607-610, 2011.
Conference Paper
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and M. Fernandez, "Soft thresholding for medical image segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 4752–4755, 2010.
Segura-Méndez, B., Á. Planchuelo-Gómez, Á. Sierra, D. García-Azorín, E. Velasco-García, Á. Fuentes-Martín, C. Sánchez, V-A. I. de la Lastra, Á. L. Guerrero, and Y. Carrascal, "Objective measurement of pain related to cardiac surgery: a study using algometry", 8th Congress of the European Academy of Neurology, 2022.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.

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