Publications

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2024
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.
2023
Planchuelo-Gómez, Á., M. Descoteaux, S. Aja-Fernández, J. Hutter, D. K. Jones, and C. M. W. Tax, "Comparison of data-driven and physics-informed learning approaches for optimising multi-contrast MRI acquisition protocols", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 3701, 2023.
Plumley, A., M. Cercignani, Á. Planchuelo-Gómez, J. Gholam, and D. K. Jones, "Super-resolution diffusion tensor imaging at 64 mT", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 3624, 2023.
Plumley, A., F. Padormo, M. Cercignani, R. O'Halloran, R. Teixeira, Á. Planchuelo-Gómez, A. Legouhy, T. Luo, and D. K. Jones, "Tensors and Tracts at 64 mT", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 104, 2023.
2022
Aja-Fernández, S., G. París, C. Martín-Martín, D. K. Jones, and AT. -Vega, "Anisotropy measure from three diffusion-encoding gradient directions", Magnetic Resonance Imaging, vol. 88, pp. 38–43, 2022.
Planchuelo-Gómez, Á., M. Descoteaux, S. Aja-Fernández, J. Hutter, D. K. Jones, and C. M. W. Tax, "Data-driven and physics-informed learning of efficient acquisition protocols", ISMRM Workshop on Diffusion MRI: From Research to Clinic, Amsterdam, The Netherlands, 2022.
Plumley, A., F. Padormo, M. Cercignani, R. O'Halloran, R. Teixeira, Á. Planchuelo-Gómez, A. Legouhy, T. Luo, and D. K. Jones, "Tensors and Tracts at 64 mT", ISMRM Workshop on Diffusion MRI: From Research to Clinic, Amsterdam, The Netherlands, 2022.
2021
Aja-Fernández, S., A. Tristán-Vega, and D. K. Jones, "Apparent propagator anisotropy from single-shell diffusion MRI acquisitions", Magnetic Resonance in Medicine, vol. 85, issue 5, pp. 2869-2881, 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.
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", 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.
2020
Aja-Fernández, S., A. Tristán-Vega, R. de Luis-García, and D. K. Jones, "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions", Computational Diffusion MRI: Springer, Cham, pp. 13–24, 2020.
Afzali, M., S. Aja-Fernández, and D. K. Jones, "Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes", Magnetic Resonance in Medicine, vol. n/a, 2020.
Pieciak, T., M. Afzali, F. Bogusz, S. Aja-Fernández, and D. K. Jones, "Q-space quantitative diffusion MRI measures using a stretched-exponential representation", arXiv, 2020.
Sabzi, S., H. Javadikia, and J. I. Arribas, "A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value", Measurement, vol. 152, pp. 107298, 2020.
2019
Jiménez-Galindo, D., P. Casaseca-de-la-Higuera, and L. M. San-José-Revuelta, "A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm", 2019 27th European Signal Processing Conference (EUSIPCO): IEEE, pp. 1–5, 2019.
2018
Javadikia, H., S. Sabzi, and J. I. Arribas, "An automatic and non-intrusive hybrid computer vision system for the estimation of peel thickness in Thomson orange", Spanish Journal of Agricultural Research, vol. 16, issue 4, pp. e0204, 2018.