Publications

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Conference Paper
Cárdenes-Almeida, R., M. Bach, Y. Chi, I. Marras, R. de Luis-García, M. Anderson, P. Cashman, and M. Bultelle, "Multimodal evaluation for medical image segmentation", Computer Analysis of Images and Patterns: Springer, 2007.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, M. Martin-Fernandez, F. Simmross-Wattenberg, C. Prieto, and C. Alberola-Lopez, "Multiresolution Reconstruction of Real-Time MRI with Motion Compensated Compressed Sensing: Application to 2D Free-Breathing Cardiac MRI", International Symposium on Biomedical Engineering: From Nano to Macro, Prague, Check Republic, IEEE Signal Processing Society, 2016.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, M. Martin-Fernandez, F. Simmross-Wattenberg, C. Prieto, and C. Alberola-Lopez, "Multiresolution Reconstruction of Real-Time MRI with Motion Compensated Compressed Sensing: Application to 2D Free-Breathing Cardiac MRI", XXXIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), Madrid, 11/2015.
Martin-Fernandez, M. Angel, C. Alberola-Lopez, J. Sanz de Acedo, and J. Ruiz-Alzola, "Multiresolution compression schemes for medical image and volume data", Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, vol. 3: IEEE, pp. 2437–2440, 2001.
García-Pérez, V., A. Tristán-Vega, and S. Aja-Fernández, "NURBS for the geometrical modeling of a new family of Compact-Supported Radial Basis Functions for elastic registration of medical images", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5947–5950, 2010.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "Neural Network-Assisted Fiber Tracking of Synthetic and White Matter DT-MR Images.", World Congress on Engineering, pp. 618–623, 2007.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
Arribas, J. I., J. Cid-Sueiro, T. Adali, and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions", Neural Networks for Signal Processing - Proceedings of the IEEE Workshop, Madison, WI, USA, IEEE, Piscataway, NJ, United States, 1999.
Wu, Y., J. He, Y. Man, and J. I. Arribas, "Neural network fusion strategies for identifying breast masses", IEEE International Conference on Neural Networks - Conference Proceedings, Budapest, 2004.
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., 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-Lopez, 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.
Arribas, J. I., C. Alberola-Lopez, 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.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "Non-intrusive image processing Thompson orange grading methods", 2017 56th FITCE Congress: IEEE, 2017.
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. Martin-Fernandez, 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.
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.

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