Publications

Export 441 results:
Author Title [ Type(Desc)] Year
Conference Paper
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural networks to estimate ML multi-class constrained conditional probability density functions", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Arribas, J. I., C. Alberola López, A. Mateos-Marcos, and J. Cid-Sueiro, "Neural posterior probabilities for microcalcification detection in breast cancer diagnoses", Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on: IEEE, pp. 660–663, 2003.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and A. Tristán-Vega, "Noise estimation in MR GRAPPA reconstructed data", Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on: IEEE, pp. 1815–1818, 2011.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, R. de Luis-García, and A. Tristán-Vega, "Noise estimation in magnetic resonance SENSE reconstructed data", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 1104–1107, 2013.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "Non-intrusive image processing Thompson orange grading methods", 2017 56th FITCE Congress: IEEE, 2017.
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.
Segura-Méndez, B., Á. Planchuelo-Gómez, Á. Sierra, D. García-Azorín, E. Velasco-García, Á. Fuentes-Martín, C. Sánchez, V-A. I. de la Lastra, Á. L. Guerrero, and Y. Carrascal, "Objective measurement of pain related to cardiac surgery: a study using algometry", 8th Congress of the European Academy of Neurology, 2022.
Martin-Fernandez, M., R. Cárdenes-Almeida, and C. Alberola-Lopez, "Parameter Estimation of the Homodyned K Distribution Based on Signal to Noise Ratio", Ultrasonics Symposium, 2007. IEEE: IEEE, pp. 158–161, 2007.
de Luis-García, R., and C. Alberola-Lopez, "Parametric 3D hip joint segmentation for the diagnosis of developmental dysplasia", Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE: IEEE, pp. 4807–4810, 2006.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-Lopez, "Probabilistic modeling of the oxygen saturation pattern for the detection of anomalies during clinical interventions", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
de Luis-García, R., R. San Jose-Estepar, and C. Alberola-Lopez, "Pull-Push Level Sets: A new term to encode prior knowledge for the segmentation of teeth images", Medical Imaging: International Society for Optics and Photonics, pp. 598–605, 2005.
Aja-Fernández, S., R. de Luis-García, C. Alberola-Lopez, and D. Hernando, "Quantitative Diffusion MRI in the Presence of Noise: Effects of Filtering and Fitting Technique", Quantitative Medical Imaging: Optical Society of America, pp. QTu2G–2, 2013.
Vegas-Sánchez-Ferrero, G., D. Martín-Martínez, P. Casaseca-de-la-Higuera, L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Palencia, "Realistic log-compressed law for ultrasound image recovery", Image Processing (ICIP), 2011 18th IEEE International Conference on: IEEE, pp. 2029–2032, 2011.
San Jose-Estepar, R., C. Alberola-Lopez, and J. Ruiz-Alzola, "Reshaping polygonal meshes with smoothed normals extracted from ultrasound volume data: An optimization approach", Medical Imaging 2001: International Society for Optics and Photonics, pp. 462–472, 2001.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, R. Moro, and R. de Luis-García, "Resting-state functional alterations in patients with persistent headache after COVID-19 infection: an exploratory study", International Headache Congress 2021, Virtual Congress, International Headache Society & European Headache Federation, 2021.
Sanz-Estébanez, S., L. Cordero-Grande, M. Martin-Fernández, and C. Alberola López, "Robust Windowed Harmonic Phase Analysis with a Single Acquisition", MICCAI , Granada, MICCAI, 2018.
Aja-Fernández, S., L. Cordero-Grande, G. Vegas-Sánchez-Ferrero, R. de Luis-García, and C. Alberola-Lopez, "Robust estimation of MRI myocardial perfusion parameters", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 4382–4385, 2013.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernández, C. Prieto, and C. Alberola-Lopez, "Single Breath Hold Whole Heart Cine MRI With Iterative Groupwise Cardiac Motion Compensation and Sparse Regularization (kt-WiSE)", Proceedings of the International Society for Magnetic Resonance in Medicine 23, 2015.
Pieciak, T., F. Bogusz, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Single-Shell Return-to-the-Origin Probability Diffusion Mri Measure Under a Non-Stationary Rician Distributed Noise", 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019): IEEE, 2019.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, and M. Fernandez, "Soft thresholding for medical image segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 4752–4755, 2010.
Sanz-Estébanez, S., L. Cordero-Grande, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Spatial and Spectral Anisotropy in HARP Images: An Automated Approach", International Symposium on Biomedical Imaging: From Nano to Macro (ISBI2016), Prague, Czech Republic, 2016.
Martin-Fernandez, M., E. Muñoz-Moreno, and C. Alberola-Lopez, "A Speckle Removal Filter Based on Anisotropic Wiener Filtering and the Rice Distribution", Ultrasonics Symposium, 2006. IEEE: IEEE, pp. 1694–1697, 2006.
Vegas-Sánchez-Ferrero, G., A. Tristán-Vega, L. Cordero-Grande, P. Casaseca-de-la-Higuera, S. Aja-Fernández, M. Martin-Fernandez, and C. Alberola-Lopez, "Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration", Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE Computer Society Conference on: IEEE, pp. 1–6, 2008.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, T. Pérez-Sanz, and S. Aja-Fernández, "Strain rate tensor estimation from echocardiography for quantitative assessment of functional mitral regurgitation", Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on: IEEE, pp. 788–791, 2013.
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.

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