Publications

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D
Martín-Hernández, N., J. Royuela-del-Val, V. García-Pérez, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola López, "Diseño e implementación de plugins en el entorno GIMIAS para procesado y visualización de señales electrofisiológicas asociadas a problemas cardiovasculares", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, España, Sociedad Española de Ingeniería Biomédica, 2012.
Alberola López, C., R. Cárdenes-Almeida, M. Martin-Fernandez, M. Angel Martin-Fernandez, M. Rodríguez-Florido, and J. Ruiz-Alzola, "disnei: A collaborative environment for medical images analysis and visualization", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2000: Springer, 2000.
Hornero, R., M. Martin-Fernandez, A. Alonso, A. Izquierdo, and M. Lopez, "A DSP Implementation of Wavelet Transform to Detect Epileptiform Activity in the EEG", Proc. 8th Annual International Conference on Signal Processing Applications and Technology, pp. 692–696, 1997.
Aksoy, M., N. Avcu, S.. Merino-Caviedes, E. Deniz Diktas, M. Angel Martin-Fernandez, S. Girgin, I. Marras, E. Muñoz-Moreno, E. Tekeli, and B. Acar, "DTI Application with Haptic Interfaces", Proc. eNTER-FACE, vol. 7, pp. 1–9, 2007.
Aja-Fernández, S., A. Tristán-Vega, and P.. Casaseca-de-la-Higuera, "DWI acquisition schemes and diffusion tensor estimation: a simulation-based study", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 3317–3320, 2010.
Tristán-Vega, A., and S. Aja-Fernández, "DWI filtering using joint information for DTI and HARDI", Medical Image Analysis, vol. 14, no. 2: Elsevier, pp. 205–218, 2010.
E
Martín-Martínez, D., P.. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola López, "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 Luís-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 López, "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 López, "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 López, "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 López, 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 López, "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.

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