Publications

Export 441 results:
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
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.
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.
Planchuelo-Gómez, Á., M. Descoteaux, S. Aja-Fernández, J. Hutter, D. K. Jones, and C. M. W. Tax, "Data-driven and physics-informed learning of efficient acquisition protocols", ISMRM Workshop on Diffusion MRI: From Research to Clinic, Amsterdam, The Netherlands, 2022.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Deblurring of probabilistic ODFs in quantitative diffusion MRI", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 932–935, 2012.
Planchuelo-Gómez, Á., J. Trigo, R. de Luis-García, Á. L. Guerrero, J. Porta-Etessam, and D. García-Azorín, "Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis", Frontiers in Neurology, vol. 11, pp. 1751, 2020.
Roig-Herrero, A., Á. Planchuelo-Gómez, M. Hernández-García, R. de Luis-García, I. Fernández-Linsenbarth, R. M. Beño-Ruiz-de-la-Sierra, and V. Molina, "Default mode network components and its relationship with anomalous self-experiences in schizophrenia: A rs-fMRI exploratory study", Psychiatry Research: Neuroimaging, vol. 324, pp. 111495, 2022.
Tristán-Vega, A., and S. Aja-Fernández, "Design and construction of a realistic DWI phantom for filtering performance assessment", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 951–958, 2009.
Díaz-Rodríguez, JM., L. Cordero-Grande, M. Martin-Fernandez, and C. Alberola-Lopez, "Detección automática del ventr{ículo derecho en imágenes de resonancia magnética cardiaca 3D", CASEIB2012, San Sebastián, Espana, 2012.
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.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. Maria Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Diferencias en el ritmo circadiano del infarto de miocardio según su extensión electrocardiográfica", Medicina clinica, vol. 123, no. 17: Elsevier Doyma, pp. 641–645, 2004.
Garmendia-Leiza, J R., J B. Lopez-Messa, J. Maria Andres-de-Llano, C. Alberola-Lopez, and J. Ardura-Fernández, "Differential circadian rhythms in myocardial infarction according to its extent by electrocardiogram", Medicina clinica, vol. 123, no. 17, pp. 641–646, 2004.
Arenillas, J. F., D. Argibay-Quiñones, P. Garcia-Bermejo, A. I. Calleja, D. Martín-Martínez, J. M. Sierra, J. José Fuertes-Alija, and M. Martin-Fernandez, "Diffusion Tensor Imaging (DTI) Monitoring Of Motor Function Recovery After Middle Cerebral Artery Infarction: Searching For A DTI-Marker Of Neurorepair", STROKE, vol. 42, no. 3: LIPPINCOTT WILLIAMS & WILKINS 530 WALNUT ST, PHILADELPHIA, PA 19106-3621 USA, pp. E119–E119, 2011.
Afzali, M., S. Aja-Fernández, and D. K. Jones, "Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes", Magnetic Resonance in Medicine, vol. n/a, 2020.
Martín-Hernández, N., J. Royuela-del-Val, V. García-Pérez, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "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.
Zhao, T., C. Luo, J. Zhou, D. Guo, N. Chen, and P. Casaseca-de-la-Higuera, "DoA Prediction Based Beamforming with Low Training Overhead for Highly-Mobile UAV Communication with Cellular Networks", Applied Sciences, vol. 10, no. 13: Multidisciplinary Digital Publishing Institute, pp. 4420, 2020.
E
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.
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-García, "Effect of sampling on the estimation of the apparent coefficient of diffusion in MRI", ICASSP 2017, New Orleans, LA, IEEE signal processing Society, 2017.
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.

Pages