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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Cordero-Grande, L., J. Royuela-del-Val, S. Sanz-Estébanez, M. Martin-Fernandez, and C. Alberola-Lopez, "Multi-oriented windowed harmonic phase reconstruction for robust cardiac strain imaging", Medical Image Analysis, vol. 29, pp. 1-11, 2016.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple Comparator Classifier Framework for Accelerometer-Based Fall Detection and Diagnostic", Applied Soft Computing, In press, 2015.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic", Applied Soft Computing, vol. 39, pp. 94–103, 2016.
Royuela-del-Val, J., M. Usman, L. Cordero-Grande, M. Martín-Fernández, 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.
Merino-Caviedes, S., L. Cordero-Grande, A. Revilla-Orodea, M. T. Perez, M. Martin-Fernandez, and C. Alberola-Lopez, "Multi-stencil streamline fast marching: a general 3D framework to determine myocardial thickness and transmurality in late enhancement images", Medical Imaging, IEEE Transactions on, vol. 33, pp. 23–37, 2014.
Casaseca-de-la-Higuera, P., D. Martín-Martínez, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio López-Villalobos, J. Ardura-Fernández, and C. Alberola-Lopez, "Métodos de análisis automático de la actividad diaria del niño con TDAH. Mesa Redonda. Ponencia Invitada", 61º Congreso Anual de la Asociación Española de Pediatría, vol. 61, Granada, Spain, pp. 43-49, 2012.
N
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 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.
Royuela-del-Val, J., L. Cordero-Grande, F. Simmross-Wattenberg, M. Martín-Fernández, and C. Alberola-Lopez, "Non-Rigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-Hold Cardiac Cine MRI", Magnetic Resonance in Medicine, 2015.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, JA. López-Villalobos, J. Ardura-Fernández, and C. Alberola-Lopez, "Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)", Medical engineering & physics, vol. 34, no. 9: Elsevier, pp. 1317–1329, 2012.
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.

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