Publications

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D
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.
Peña-Nogales, Ó., D. Hernando, S. Aja-Fernández, and R. de Luis-García, "Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3341, 2017.
E
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.
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.
Hoyos-Barceló, C., J. Ramón Garmendia-Leiza, MD. Aguilar-Garcia, J. Monge-Álvarez, D. Asay Pérez-Alonso, C. Alberola-Lopez, and P. Casaseca-de-la-Higuera, "Evaluation in a real environment of a trainable cough monitoring app for smartphones", Mediterranean Conference on Medical and Biological Engineering and Computing: Springer, Cham, pp. 1175–1180, 2019.
Rabanillo, I., S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Exact Calculation of Noise Maps and g-Factor in GRAPPA using a k-space Analysis", IEEE Transactions on Medical Imaging, vol. 37, issue 2, pp. 480-490, 2018.
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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.
O
Peña-Nogales, O., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, O., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 2018.
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.

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