Publications

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Zhang, Y., Ó. Peña-Nogales, J. H. Holmes, and D. Hernando, "Monte-Carlo Analysis of Quantitative Diffusion Measurements Using Motion-Compensated Diffusion Weighting Waveforms", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 1733, 2017.
Aja-Fernández, S., T. Pieciak, C. Martín-Martín, Á. Planchuelo-Gómez, R. de Luis-García, and A. Tristán-Vega, "Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA", Medical Image Analysis, vol. 77, pp. 102356, 2022.
Simmross-Wattenberg, F., A. Tristán-Vega, P. Casaseca-de-la-Higuera, J. Ignacio Asensio-Pérez, M. Martin-Fernandez, Y. A. Dimitriadis, and C. Alberola-Lopez, "Modelling Network Traffic as alpha-Stable Stochastic Processes: An Approach Towards Anomaly Detection", Proc. VII Jornadas de Ingenierıa Telematica (JITEL), pp. 25–32, 2008.
Ruiz-Alzola, J., C. Alberola-Lopez, and J-R. Casar Corredera, "Model-based stereo-visual tracking: Covariance analysis and tracking schemes", Signal Processing, vol. 80, no. 1: Elsevier, pp. 23–43, 2000.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín Fernández, and C. Alberola-Lopez, "Modelado Estadístico de Señales Fotopletismográficas para la Construcción de Atlas Poblacionales Orientados a la Evaluación y Seguimiento del Remodelado Cardiovascular", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 29, Cáceres, Spain, pp. 607-610, 2011.
de Luis-García, R., and C. Alberola-Lopez, "Mixtures of gaussians on tensor fields for DT-MRI segmentation", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer, pp. 319–326, 2007.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
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.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Medium-term changes in patients with epilepsy during the COVID-19 pandemic", Acta Neurologica Scandinavica, vol. 144, pp. 450-459, 2021.
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.
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., and C. Alberola-Lopez, "Matrix modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
Aja-Fernández, S., and C. Alberola-Lopez, "Matrix Inference in Fuzzy Decision Trees.", EUSFLAT Conf., pp. 979–984, 2005.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device", Biomedical signal processing and control, vol. 33, pp. 96–108, 2017.
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.
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.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-López, "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.
Treceño-Fernández, D., J. Calabia-del-Campo, F. Matute-Teresa, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience", Sensors, vol. 21, pp. 6011, 2021.
Monge-Alvarez, J., C. Hoyos-Barcelo, L. M. San Jose-Revuelta, and P. Casaseca-de-la-Higuera, "A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features", IEEE Transactions on Biomedical Engineering, vol. 66, pp. 2319-2330, 2019.
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.
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.

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