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", 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.
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.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
Aja-Fernández, S., C. Martín-Martín, Á. Planchuelo-Gómez, A. Faiyaz, M. Nasir Uddin, G. Schifitto, A. Tiwari, S. J. Shigwan, R. Kumar Singh, T. Zheng, et al., "Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies", NeuroImage: Clinical, vol. 39, pp. 103483, 2023.
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
Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
Aja-Fernandez, S., C. Martin-Martin, T. Pieciak, Á. Planchuelo-Gómez, A. Faiyaz, N. Uddin, A. Tiwari, S. J. Shigwan, T. Zheng, Z. Cao, et al., "Validation of Deep Learning techniques for quality augmentation in diffusion MRI for clinical studies", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 2786, 2023.
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.

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