Export 91 results:
Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is P  [Clear All Filters]
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 
Planchuelo-Gómez, Á., R. de Luis-García, A. Tristán-Vega, D. García-Azorín, Á. L. Guerrero, and S. Aja-Fernández, "AMURA with standard single-shell acquisition can detect changes beyond the Diffusion Tensor: a migraine clinical study", ISMRM 28th annual meeting, vol. 4549, 2020.
Leal-Campanario, R., L. Alarcon-Martinez, H. Rieiro, S. Martinez-Conde, T. Alarcon-Martinez, X. Zhao, J. LaMee, P.J. Popp, M.E. Calhoun, J. I. Arribas, et al., "Abnormal Capillary Vasodynamics Contribute to Ictal Neurodegeneration in Epilepsy", Scientific Reports, vol. 7, 2017.
Fuster, A., T. Dela-Haije, A. Tristán-Vega, B. Plantinga, C-F. Westin, and L. Florack, "Adjugate Diffusion Tensors for Geodesic Tractography in White Matter", Journal of Mathematical Imaging and Vision, vol. 54, pp. 1–14, 2015.
Royuela, A., M. A. Padilla-Marcos, A. Meiss, P. Casaseca-de-la-Higuera, and J. Feijó-Muñoz, "Air Infiltration Monitoring using Thermography and Neural Networks", Energy and Buildings, vol. 191, pp. 187-199, 05/2019.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, R. de Luis-García, M. Rodríguez, and S. Aja-Fernández, "Alternative Microstructural Measures to Complement Diffusion Tensor Imaging in Migraine Studies with Standard MRI Acquisition", Brain Sciences, vol. 10, pp. 711, 2020.
Luo, C., P. Casaseca-de-la-Higuera, S. McClean, G. Parr, and C. Grecos, "Analysis of coloured noise in received signal strength using the Allan Variance", Signal Processing Conference (EUSIPCO), Proceedings of the 22nd European, vol. 22: IEEE, pp. 994-998, 2014.
Vegas-Sánchez-Ferrero, G., A. Tristán-Vega, S. Aja-Fernández, M. Martin-Fernandez, C. Palencia, and R. Deriche, "Anisotropic LMMSE denoising of MRI based on statistical tissue models", Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on: IEEE, pp. 1519–1522, 2012.
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
Pieciak, T., I. Rabanillo-Viloria, and S. Aja-Fernández, "Bias Correction for Non-Stationary Noise Filtering in MRI", 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018.
Vegas-Sánchez-Ferrero, G., F. Simmross-Wattenberg, M. Martin-Fernandez, C. Palencia, and C. Alberola-Lopez, "Caracterización de speckle con modelos de cola pesada", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, España, Sociedad Española de Ingeniería Biomédica, 2012.
Luo, C., P. Casaseca-de-la-Higuera, S. McClean, G. Parr, and P. Ren, "Characterisation of Received Signal Strength Perturbations using Allan Variance", IEEE Transactions on Aerospace and Electronic Systems, vol. 54, pp. 873-889, 2018.
Merino-Caviedes, S., L. Cordero-Grande, T. Sevilla-Ruiz, T. Pérez, M. Martin-Fernandez, and C. Alberola-Lopez, "Classification of delayed enhancement scar islands by means of their local subendocardial transmurality", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
Pourdarbani, R., S. Sabzi, D. Kalantari, J. Luis Hernández-Hernández, and J. I. Arribas, "A Computer Vision System Based on Majority-Voting Ensemble Neural Network for the Automatic Classification of Three Chickpea Varieties", Foods, vol. 9, pp. 113, 2020.
Sabzi, S., R. Pourdarbani, and J. I. Arribas, "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images", Computers, vol. 9, pp. 6, 2020.
Curiale, A. H., V. G Sánchez-Ferrero, T. Pérez-Sanz, and S. Aja-Fernández, "Cuantificación de la insuficiencia mitral funcional mediante el esfuerzo y la velocidad del miocardio", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Centro de Cirugía de Mínima Invasión Jesús Usón, 2011.
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.
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.
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.
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.
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.
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.
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.