Publications

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Monge-Álvarez, J., C. Hoyos-Barceló, P. Lesso, and P. Casaseca-de-la-Higuera, "Robust detection of audio-cough events using local Hu moments", IEEE journal of biomedical and health informatics, vol. 23, pp. 184–196, 2019.
Muñoz-Moreno, E., R. Cárdenes-Almeida, and M. Martin-Fernandez, "Review of techniques for registration of diffusion tensor imaging", Tensors in Image Processing and Computer Vision: Springer London, pp. 273–297, 2009.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "Quality Assessment of Tensor Images", Tensors in Image Processing and Computer Vision: Springer London, pp. 79–103, 2009.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "A methodology for quality assessment in tensor images", Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE Computer Society Conference on: IEEE, pp. 1–6, 2008.
Muñoz-Moreno, E., R. Cárdenes-Almeida, R. de Luis-Garcia, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "Image registration based on automatic detection of anatomical landmarks for bone age assessment", WSEAS Transactions on Computers, vol. 4, no. 11, pp. 1596–1603, 2005.
Muñoz-Moreno, E., and M. Martin-Fernandez, "Characterization of the similarity between diffusion tensors for image registration", Computers in biology and medicine, vol. 39, no. 3: Pergamon, pp. 251–265, 2009.
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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.
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Peña-Nogales, Ó., D. Hernando, S. Aja-Fernández, and R. de Luis-Garcia, "Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3341, 2017.
Peña-Nogales, O., Y. Zhang, R. de Luis-Garcia, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, Ó., R. de Luis-Garcia, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-Garcia, 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., 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.
Peña-Nogales, Ó., Y. Zhang, R. de Luís-Garcia, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Reduced Eddy Current induced image distortions and Peripheral Nerve Stimulation based on the Optimal Diffusion-weighting Gradient Waveform Design (ODGD) formulation", ISMRM 27th annual meeting, vol. 3488, 2019.
Pieciak, T., I. Rabanillo-Viloria, and S. Aja-Fernández, "Bias Correction for Non-Stationary Noise Filtering in MRI", 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018.
Pieciak, T., G. Vegas-Sanchez-Ferrero, and S. Aja-Fernández, "Variance Stabilization of Noncentral-Chi Data: Application to Noise Estimation in MRI", 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague, 2016, Prague, Czech Republic, 2016.
Pieciak, T., S. Aja-Fernández, and G. Vegas Sánchez-Ferrero, "Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, issue 10, pp. 2015-2029, 2017.
Portilla, J., A. Tristán-Vega, and I. W. Selesnick, "Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors", IEEE Transactions on Image Processing, vol. 24, pp. 5046-5059, Dec, 2015.
Portillo-Garcia, J., J. I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-Lopez, "Efficient multispectral texture segmentation using multivariate statistics", IEE Proceedings-Vision, Image and Signal Processing, vol. 145, no. 5: IEE, pp. 357–364, 1998.
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Rabanillo, I., S. Sanz-Estébanez, S. Aja-Fernández, J. V. Hajnal, C. Alberola-López, and L. Cordero-Grande, "Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-Shot Echo Planar Imaging", MICCAI, Granada, MICCAI, 09/2018.
Rabanillo, I., S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis", IEEE Transactions on Medical Imaging, vol. 37, issue 2, pp. 480-490, 2018.
Ramos-Llorden, G., G. Vegas-Sanchez-Ferrero, M. Martin-Fernandez, C. Alberola-Lopez, and S. Aja-Fernández, "Anisotropic Diffusion Filter with Memory based on Speckle Statistics for Ultrasound Images", IEEE Transactions on image processing, vol. 24, issue 1, 2015.
Ramos-Llorden, G., G. Vegas-Sanchez-Ferrero, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Fast Anisotropic Speckle Filter for Ultrasound Medical Images", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: Springer International Publishing, pp. 253–256, 2013.
Ramos-Llordén, G., S. Aja-Fernández, and G. Vegas-Sánchez-Ferrero, "Introduction to speckle filtering", Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video: IET, 2018.
Royuela, A., M. A. Padilla-Marcos, A. Meiss, P. Casaseca-de-la-Higuera, and J. Feijó-Muñoz, "Air Infiltration Monitoring using Termography and Neural Networks", Energy and Buildings, In Press.
Royuela-del-Val, J., F. Simmross-Wattenberg, and C. Alberola-Lopez, "Libstable: Fast, parallel, and high-precision computation of α-stable distributions in R, C/C++, and MATLAB", Journal of Statistical Software, vol. 78, issue 1, pp. 1-25, 2017.

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