Publications

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Conference Paper
Pieciak, T., G. Vegas-Sánchez-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.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, S. Aja-Fernández, and C. Palencia, "On the influence of interpolation on probabilistic models for ultrasonic images", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 292–295, 2010.
Vaquero-González, L. M., D. Hernández-Leo, F. Simmross-Wattenberg, M. L. Bote-Lorenzo, J. Ignacio Asensio-Pérez, Y. A. Dimitriadis, E. Gómez-Sánchez, and G. Vega-Gorgojo, "The opportunity of grid services for CSCL-application development", Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on, Lausanne, Switzerland, IEEE, 2005.
Vaquero-González, L. M., D. Hernández-Leo, F. Simmross-Wattenberg, M. L. Bote-Lorenzo, J. Ignacio Asensio-Pérez, Y. A. Dimitriadis, E. Gómez-Sánchez, and G. Vega-Gorgojo, "The opportunity of grid services for CSCL-application development", Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on, Lausanne, Switzerland, IEEE, 2005.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, F. Martínez-Dubarbie, A. Vieira Campos, J. Vivancos, and M. De Toledo, "The utility of the GAD-7 anxiety, NDDI-E depression, Epworth sleepiness and QOLIE-31-P quality of life scales in patients with epilepsy in real clinical practice (2379)", Proceedings of the American Academy of Neurology 2021 Virtual Annual Meeting: Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology, 2021.
Merino-Caviedes, S., G. Vegas-Sánchez-Ferrero, T. M Pérez, S. Aja-Fernández, and M. Martin-Fernandez, "A variationally based weighted re-initialization method for geometric active contours", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 908–911, 2010.
Conference Proceedings
Aja-Fernández, S., and G. Vegas-Sánchez-Ferrero, "Blind Estimation of Spatially Variant Noise in GRAPPA MRI", International Symposium on Biomedical Imaging, pp. SuAT7.4, 2015.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, G. Vegas-Sánchez-Ferrero, L. Cordero-Grande, J. Maria Andres-de-Llano, J R. Garmendia-Leiza, and J. Ardura-Fernández, "Characterization of activity epochs in actimetric registries for infantile colic diagnosis: Identification and feature extraction based on wavelets and symbolic dynamics", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, vol. 32: IEEE, pp. 2383-2386, 2010.
Ramos-Llorden, G., G. Vegas-Sánchez-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.
Journal Article
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "About the background distribution in MR data: a local variance study", Magnetic resonance imaging, vol. 28, no. 5: Elsevier, pp. 739–752, 2010.
Ramos-Llorden, G., G. Vegas-Sánchez-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.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic noise estimation in images using local statistics. Additive and multiplicative cases", Image and Vision Computing, vol. 27, no. 6: Elsevier, pp. 756–770, 2009.
Trigo, J., D. García-Azorín, Á. Planchuelo-Gómez, E. Martínez-Pías, B. Talavera, I. Hernández-Pérez, G. Valle-Peñacoba, P. Simón-Campo, M. de Lera, A. Chavarría-Miranda, et al., "Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: a retrospective cohort study", The Journal of Headache and Pain, vol. 21, pp. 94, Jul, 2020.
Curiale, A. H., A. Haak, G. Vegas-Sánchez-Ferrero, B. Ren, S. Aja-Fernández, and J. G. Bosch, "Fully Automatic Detection of Salient Features in 3-D Transesophageal Images", Ultrasound in medicine & biology, vol. 40, issue 12: Elsevier, pp. 2868-2884, 07/2014.
Vegas-Sánchez-Ferrero, G., J. Seabra, O. Rodriguez-Leor, A. Serrano-Vida, S. Aja-Fernández, C. Palencia, M. Martin-Fernandez, and J. Sanches, "Gamma mixture classifier for plaque detection in intravascular ultrasonic images", Ultrasonics, Ferroelectrics and Frequency Control, IEEE Transactions on, vol. 61, no. 1: IEEE, pp. 44–61, 2014.
Vegas-Sánchez-Ferrero, G., S. Aja-Fernández, C. Palencia, and M. Martin-Fernandez, "A Generalized Gamma Mixture Model for Ultrasonic Tissue Characterization", Computational and mathematical methods in medicine, vol. 2012: Hindawi Publishing Corporation, 2012.
Aja-Fernández, S., D. García-Martín, A. Tristán-Vega, and G. Vegas-Sánchez-Ferrero, "Improving GRAPPA reconstruction by frequency discrimination in the ACS lines", International Journal of Computer Assisted Radiology and Surgery, vol. 10, issue 10, pp. 1699-1710, 2015.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Influence of ultrasound speckle tracking strategies for motion and strain estimation", Medical Image Analysis, vol. 32, pp. 184 - 200, 2016.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "A Markov random field approach for topology-preserving registration: Application to object-based tomographic image interpolation", Image Processing, IEEE Transactions on, vol. 21, no. 4: IEEE, pp. 2047–2061, 2012.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, J. G. Bosch, and S. Aja-Fernández, "A Maximum Likelihood Approach to Diffeomorphic Speckle Tracking for 3D Strain Estimation in Echocardiography", Medical Image Analysis, pp. -, 2015.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
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.
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.

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