Publications

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D
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.
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.
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.
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Vaquero-González, L. M., D. Hernández-Leo, F. Simmross-Wattenberg, M. L. Bote-Lorenzo, J. Ignacio Asensio-Pérez, Y. A. Dimitriadis, E. Gómez-Sánchez, and G. Vega-Gorgojo, "The opportunity of grid services for CSCL-application development", Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on, Lausanne, Switzerland, IEEE, 2005.
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, 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., 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, vol. 81, pp. 989–1003, 2019.

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