Publications

Export 385 results:
Author Title [ Type(Desc)] Year
Conference Paper
Aja-Fernández, S., and C. Alberola-Lopez, "Inference with fuzzy granules for computing with words: a practical viewpoint", Fuzzy Systems, 2003. FUZZ'03. The 12th IEEE International Conference on, vol. 1: IEEE, pp. 566–571, 2003.
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.
Cordero-Grande, L., M. Martin-Fernandez, and C. Alberola-Lopez, "Integration of biomechanical properties in a Markov random field: Application to myocardial motion estimation in cardiomyopathy patients", Quantitative Medical Imaging: Optical Society of America, pp. QW2G–1, 2013.
Ruiz-Aguado, D., M. Martin-Fernandez, J. Royuela-del-Val, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Intra Heartbeat Variability as a Tool for Cardiovascular Diagnosis and Monitoring", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 29, Cáceres, Spain, pp. 343-346, 2011.
Rabanillo, I., S. Sanz-Estébanez, S. Aja-Fernández, J. V. Hajnal, C. Alberola-Lopez, and L. Cordero-Grande, "Joint Image Reconstruction and Phase Corruption Maps Estimation in Multi-Shot Echo Planar Imaging", MICCAI, Granada, MICCAI, 09/2018.
San Jose-Estepar, R., A. Rivera, M. Pinacho, C. Alberola-Lopez, and J. Ruiz-Alzola, "Kalman filter technique applied to surface reconstruction and visualization from noisy volume data", Medical Imaging 2000: International Society for Optics and Photonics, pp. 396–407, 2000.
Tristán-Vega, A., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Local similarity measures for demons-like registration algorithms", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on: IEEE, pp. 1087–1090, 2008.
Díez-García, M., F. Simmross-Wattenberg, and C. Alberola-Lopez, "A lossless compression algorithm based on predictive coding for volumetric medical datasets", Proc. EUSIPCO 2005, 2005.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-Lopez, "Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach", Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, New York, NY, USA, ACM, 2018.
Tardón-García, L. J., J. Portillo-Garcia, and C. Alberola-Lopez, "Markov random fields and the disparity gradient constraint applied to stereo correspondence", Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on, vol. 3: IEEE, pp. 901–905, 1999.
Aja-Fernández, S., and C. Alberola-Lopez, "Matrix Inference in Fuzzy Decision Trees.", EUSFLAT Conf., pp. 979–984, 2005.
Martin-Fernandez, M., R. San Jose-Estepar, and C. Alberola-Lopez, "Maximum likelihood contour estimation using beta-statistics in ultrasound images", Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on: IEEE, pp. 207–212, 2001.
Tristán-Vega, A., V. Brion, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Merging squared-magnitude approaches to DWI denoising: An adaptive Wiener filter tuned to the anatomical contents of the image", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 507–510, 2013.
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.
Cordero-Grande, L., J. Royuela-del-Val, M. Martin-Fernandez, and C. Alberola-Lopez, "MOWHARP: Multi-Oriented Windowed HARP Reconstruction for Robust Strain Imaging", Proceedings of the International Society for Magnetic Resonance in Medicine 22, 2014.
Aja-Fernández, S., L. Cordero-Grande, and C. Alberola-Lopez, "A MRI phantom for cardiac perfusion simulation", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 638–641, 2012.
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.
Merino-Caviedes, S., M. Teresa Pérez, and M. Martin-Fernandez, "Multiphase level set algorithm for coupled segmentation of multiple regions. Application to MRI segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5042–5045, 2010.
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.
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.
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.
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.
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.
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.

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