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Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "ECG Signal Reconstruction Based on Stochastic Joint-Modeling of the ECG and the PPG Signals", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: Springer International Publishing, pp. 989–992, 2013.
Aja-Fernández, S., V. Brion, and A. Tristán-Vega, "Effective noise estimation and filtering from correlated multiple-coil MR data", Magnetic resonance imaging, vol. 31, no. 2: Elsevier, pp. 272–285, 2013.
Casaseca-de-la-Higuera, P., P. Lesso, B. Mckinstry, H. Pinnock, R. Rabinovich, L. McCloughan, and J. Monge-Álvarez, "Effect of Downsampling and Compressive Sensing on Audio-based Continuous Cough Monitoring", 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), vol. 37, Milan, Italy, pp. 6231-6235, 2015.
Monge-Alvarez, J., C. Hoyos-Barceló, P. Lesso, J. Escudero, K. Dahal, and P. Casaseca-de-la-Higuera, "Effect of importance sampling on robust segmentation of audio-cough events in noisy environments", Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the: IEEE, 2016.
Aja-Fernández, S., Ó. Peña-Nogales, and R. de Luis-Garcia, "Effect of sampling on the estimation of the apparent coefficient of diffusion in MRI", ICASSP 2017, New Orleans, LA, IEEE signal processing Society, 2017.
Portilla, J., A. Tristán-Vega, and I. W. Selesnick, "Efficient and Robust Image Restoration Using Multiple-Feature L2-Relaxed Sparse Analysis Priors", IEEE Transactions on Image Processing, vol. 24, pp. 5046-5059, Dec, 2015.
Tristán-Vega, A., V. García-Pérez, S. Aja-Fernández, and C-F. Westin, "Efficient and robust nonlocal means denoising of MR data based on salient features matching", Computer methods and programs in biomedicine, vol. 105, no. 2: Elsevier, pp. 131–144, 2012.
Hoyos-Barceló, C., J. Monge-Álvarez, Z. Pervez, L. M. San-José-Revuelta, and P. Casaseca-de-la-Higuera, "Efficient computation of image moments for robust cough detection using smartphones", Computers in biology and medicine, vol. 100, pp. 176–185, 2018.
Hoyos-Barceló, C., J. Monge-Álvarez, M. Zeeshan Shakir, J-M. Alcaraz-Calero, and P. Casaseca-de-la-Higuera, "Efficient k-NN Implementation for Real-Time Detection of Cough Events in Smartphones", IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1662-1671, 2018.
Portillo-Garcia, J., J. I. Trueba-Santander, G. de Miguel-Vela, and C. Alberola-Lopez, "Efficient multispectral texture segmentation using multivariate statistics", IEE Proceedings-Vision, Image and Signal Processing, vol. 145, no. 5: IEE, pp. 357–364, 1998.
Irondi, I., Q. Wang, C. Grecos, J. M. Alcaraz Calero, and P. Casaseca-De-La-Higuera, "Efficient QoE-Aware Scheme for Video Quality Switching Operations in Dynamic Adaptive Streaming", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), vol. 15, pp. 17, 2019.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "Efficient tracking of MR tensor fields using a multilayer neural network", IAENG International Journal of Computer Science, vol. 35, no. 1, pp. 129–139, 2008.
Gibson, R. M., A. Amira, P. Casaseca-de-la-Higuera, N. Ramzan, and Z. Pervez, "An efficient user-customisable multiresolution classifier fall detection and diagnostic system", 26th IEEE International Conference on Microelectronics (ICM 2014), Doha, Qatar, 2014.
Cordero-Grande, L., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "Endocardium and epicardium contour modeling based on Markov random fields and active contours", Engineering in Medicine and Biology Society, 2006. EMBS'06. 28th Annual International Conference of the IEEE: IEEE, pp. 928–931, 2006.
Martin-Fernandez, M., E. Rodriguez, D. Tejada, C. Alberola-Lopez, and J. Ruiz-Alzola, "Energy functions for the segmentation of ultrasound volume data using active rays", Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 IEEE International Conference on, vol. 6: IEEE, pp. 2274–2277, 2000.
Arribas, J. I., J. Cid-Sueiro, T. Adali, H. Ni, B. Wang, and A. R. Figueiras-Vidal, "Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks", Proceedings of the International Joint Conference on Neural Networks, Washington, DC, USA, IEEE, United States, 1999.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "Estimation of fiber orientation probability density functions in high angular resolution diffusion imaging", NeuroImage, vol. 47, no. 2: Elsevier, pp. 638–650, 2009.
Tristán-Vega, A., F. Simmross-Wattenberg, E. Muñoz-Moreno, P. Casaseca-de-la-Higuera, and M. Martin-Fernandez, "On the estimation of joint probability density functions for multi-modal registration of medical images", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), vol. 26, Valladolid, Spain, Sociedad Española de Ingeniería Biomédica, pp. 13-16, 2008.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: Wiley Online Library, pp. 41–58, 2005.
Arribas, J. I., J. Cid-Sueiro, and C. Alberola-Lopez, "Estimation of Posterior Probabilities with Neural Networks: Application to Microcalcification Detection in Breast Cancer Diagnosis", Handbook of Neural Engineering: John Wiley & Sons, Inc., pp. 41-58, 2006.

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