Publications

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Zhang, H., C. Luo, Q. Wang, M. Kitchin, A. Parmley, J. Monge-Alvarez, and P. Casaseca-de-la-Higuera, "A novel infrared video surveillance system using deep learning based techniques", Multimedia Tools and Applications, vol. 77, issue 26676, 2018.
Martin-Fernandez, M., R. San Jose-Estepar, C-F. Westin, and C. Alberola-Lopez, "A novel Gauss-Markov random field approach for regularization of diffusion tensor maps", Computer Aided Systems Theory-EUROCAST 2003: Springer Berlin Heidelberg, pp. 506–517, 2003.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
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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.
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de Luis-García, R., C. Alberola-Lopez, and C-F. Westin, "On the choice of a tensor distance for DTI white matter segmentation", New Developments in the Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 283–306, 2012.
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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-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.
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Mi, Y., C. Luo, G. Min, P. Casaseca-de-la-Higuera, and Z. Wang, "Towards Optimal Power Splitting in Simultaneous Power and Information Transmission", 2018 IEEE Global Communications Conference (GLOBECOM): IEEE, pp. 1–6, 2018.
Westin, C-F., M. Martin-Fernandez, C. Alberola-Lopez, J. Ruiz-Alzola, and H. Knutsson, "Tensor field regularization using normalized convolution and markov random fields in a bayesian framework", Visualization and Processing of Tensor Fields: Springer Berlin Heidelberg, pp. 381–398, 2006.
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Zhang, H., P. Casaseca-de-la-Higuera, C. Luo, Q. Wang, M. Kitchin, A. Parmley, and J. Monge-Alvarez, "Systematic infrared image quality improvement using deep learning based techniques", Remote Sensing Technologies and Applications in Urban Environments: International Society for Optics and Photonics, 2016.
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles", Journal of Field Robotics, vol. 37, no. 3, pp. 404–420, 2020.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Signal LMMSE estimation from multiple samples in MRI and DT-MRI", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 368–375, 2007.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data", Medical image analysis, vol. 13, no. 1: Elsevier, pp. 19–35, 2009.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Sequential anisotropic Wiener filtering applied to 3D MRI data", Magnetic resonance imaging, vol. 25, no. 2: Elsevier, pp. 278–292, 2007.
de Luis-García, R., C. Alberola-Lopez, and C-F. Westin, "Segmentation of tensor fields: Recent advances and perspectives", Tensors in Image Processing and Computer Vision: Springer, pp. 35–58, 2009.
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Aja-Fernández, S., M. Niethammer, M. Kubicki, M. E. Shenton, and C-F. Westin, "Restoration of DWI data using a Rician LMMSE estimator", Medical Imaging, IEEE Transactions on, vol. 27, no. 10: IEEE, pp. 1389–1403, 2008.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, pp. 92–100, 2003.
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Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, vol. 81, pp. 989–1003, 2019.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
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Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.

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