Publications

Export 385 results:
Author Title [ Type(Desc)] Year
Journal Article
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.
Sanz-Estébanez, S., T. Pieciak, C. Alberola-Lopez, and S. Aja-Fernández, "Robust Estimation of the Apparent Diffusion Coefficient Invariant to Acquisition Noise and Physiological Motion", Magnetic Resonance Imaging, vol. 53, pp. 123-133, 2018.
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.
Cárdenes-Almeida, R., E. Muñoz-Moreno, A. Tristán-Vega, and M. Martin-Fernandez, "Saturn: A software application of tensor utilities for research in neuroimaging", Computer methods and programs in biomedicine, vol. 97, no. 3: Elsevier, pp. 264–279, 2010.
Aja-Fernández, S., T. Pieciak, A. Tristán-Vega, G. Vegas-Sánchez-Ferrero, V. Molina, and R. de Luis-García, "Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers", Magnetic Resonance Imaging, vol. 54, pp. 194 - 213, 2018.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, and C. Alberola-Lopez, "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model", IEEE Transactions on Image Processing, vol. 28, issue 4, pp. 1967–1979, 04/2019.
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.
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.
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.
Godino-Moya, A., J. Royuela-del-Val, M. Usman, R-M. Menchón-Lara, M. Martín-Fernández, C. Prieto, and C. Alberola-Lopez, "Space-time variant weighted regularization in compressed sensing cardiac cine MRI", Magnetic Resonance Imaging, vol. 58, pp. 44 - 55, 2019.
Aja-Fernández, S., T. Pieciak, and G. Vegas-Sánchez-Ferrero, "Spatially variant noise estimation in MRI: A homomorphic approach", Medical Image Analysis, vol. 20, pp. 184 - 197, 2015.
González-Jaime, L., G. Vegas-Sánchez-Ferrero, E. E. Kerre, and S. Aja-Fernández, "Spatially-variant noise filtering in Magnetic Resonance Imaging: A Consensus-based approach", Knowledge-Based Systems, 2016.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, J. M. Yurrame Mendizabal, Y. Iturria-Medina, L. Melie-García, Y. Alemán-Gómez, et al., "Spherical Deconvolution of Multichannel Diffusion MRI Data with Non-Gaussian Noise Models and Spatial Regularization", PLoS ONE, vol. 10, pp. e0138910, 2015.
Canales-Rodríguez, E. J., A. Daducci, S. N. Sotiropoulos, E. Caruyer, S. Aja-Fernández, J. Radua, Y. Yurramendi Mendizabal, Y. Iturria-Medina, L. Melie-García, and Y. Alemán-Gómez, "Spherical deconvolution of multichannel diffusion MRI data with non-Gaussian noise models and total variation spatial regularization", arXiv preprint arXiv:1410.6353, 2014.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Statistical Noise Analysis in SENSE Parallel MRI", arXiv preprint arXiv:1402.4067, 2014.
Aja-Fernández, S., A. Tristán-Vega, and W. Scott Hoge, "Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model", Magnetic resonance in medicine, vol. 65, no. 4: Wiley Subscription Services, Inc., A Wiley Company, pp. 1195–1206, 2011.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications", Biomedical Engineering, IEEE Transactions on, vol. 60, no. 9: IEEE, pp. 2432–2441, 2013.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Martin-Fernandez, M., L. Cordero-Grande, E. Muñoz-Moreno, and C. Alberola-Lopez, "Techniques in the contour detection of kidneys and their applications", World Scientific Publishing Company, pp. 381–398, 2007.
de Luis-García, R., R. Deriche, and C. Alberola-Lopez, "Texture and color segmentation based on the combined use of the structure tensor and the image components", Signal Processing, vol. 88, no. 4: Elsevier, pp. 776–795, 2008.
San-Jose-Revuelta, L. Miguel, and J. I. Arribas, "Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications", Applied Soft Computing, vol. 49, pp. 561 - 569, 2016.
Molina, V., A. Bachiller, R. de Luis-García, A. Lubeiro, J. Poza, R. Hornero, J. Francesc Alonso, M. Angel Mañanas, P. Marqués, and S. Romero, "Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity", European Archives of Psychiatry and Clinical Neuroscience, Feb, 2018.
San-José-Revuelta, L. M., and P. Casaseca-de-la-Higuera, "Two-stage memetic algorithm for blind equalisation in direct-sequence/code-division multiple-access systems", IET Communications: IET Digital Library, 2020.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, A. J San-Román-Calvar, A. Revilla-Orodea, M. Martin-Fernandez, and C. Alberola-Lopez, "Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model", Medical image analysis, vol. 15, no. 3: Elsevier, pp. 283–301, 2011.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, C. Alberola-Lopez, J R. Garmendia-Leiza, J. María And De Llano, and S. Alberola Lopez, "Utility of the statistical and nonlinear analysis for the actigraphic sleep pattern characterization", Sleep Medicine, vol. 14: Elsevier, pp. e181, 2013.

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