Publications

Export 385 results:
Author Title [ Type(Asc)] Year
Journal Article
Simmross-Wattenberg, F., M. Martin-Fernandez, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Fast calculation of alpha-stable density functions based on off-line precomputations. Application to ML parameter estimation", Digital Signal Processing, vol. 38, pp. 1-12, 2015.
Cárdenes-Almeida, R., C. Alberola-Lopez, and J. Ruiz-Alzola, "Fast and accurate geodesic distance transform by ordered propagation", Image and Vision Computing, vol. 28, no. 3: Elsevier, pp. 307–316, 2010.
Trigo, J., D. García-Azorín, Á. Planchuelo-Gómez, E. Martínez-Pías, B. Talavera, I. Hernández-Pérez, G. Valle-Peñacoba, P. Simón-Campo, M. de Lera, A. Chavarría-Miranda, et al., "Factors associated with the presence of headache in hospitalized COVID-19 patients and impact on prognosis: a retrospective cohort study", The Journal of Headache and Pain, vol. 21, pp. 94, Jul, 2020.
Messa, J. B. López, J. R. Garmendi Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Factores de riesgo cardiovascular en el ritmo circadiano del infarto agudo de miocardio", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
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.
Alonso-Garcia, S., J. Gomez-Gil, and J. I. Arribas, "Evaluation of the use of low-cost GPS receivers in the autonomous guidance of agricultural tractors", Spanish Journal of Agricultural Research, vol. 9, pp. 377-388, 2011.
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.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "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.
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. 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. 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Cid-Sueiro, J., J. I. Arribas, S. Urban-Munoz, and A. R. Figueiras-Vidal, "Cost functions to estimate a posteriori probabilities in multiclass problems", IEEE Transactions on Neural Networks, vol. 10, pp. 645-656, 1999.
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.
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.
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Alberola-Lopez, C., M. Martin-Fernandez, and J. Ruiz-Alzola, "Comments on: A methodology for evaluation of boundary detection algorithms on medical images", Medical Imaging, IEEE Transactions on, vol. 23, no. 5: IEEE, pp. 658–660, 2004.

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