@article {martinez2020smartphone,
	title = {Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles},
	journal = {Journal of Field Robotics},
	volume = {37},
	number = {3},
	year = {2020},
	pages = {404{\textendash}420},
	author = {Martinez-Alpiste, Ignacio and Pablo Casaseca-de-la-Higuera and Jose-Maria Alcaraz-Calero and Grecos, Christos and Wang, Qi}
}
@article {796,
	title = {A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model},
	journal = {IEEE Transactions on Image Processing},
	volume = {28},
	year = {2019},
	month = {04/2019},
	pages = {1967{\textendash}1979},
	abstract = {<p>The fast marching method is widely employed in several fields of image processing. Some years ago a multi-stencil version (MSFM) was introduced to improve its accuracy by solving the equation for a set of stencils and choosing the best solution at each considered node. The following work proposes a modified numerical scheme for MSFM to take into account the variation of the local cost, which has proven to be second order. The influence of the stencil set choice on the algorithm outcome with respect to stencil orthogonality and axis swapping is also explored, where stencils are taken from neighborhoods of varying radius. The experimental results show that the proposed schemes improve the accuracy of their original counterparts, and that the use of permutation-invariant stencil sets provides robustness against shifted vector coordinates in the stencil set.</p>
},
	keywords = {Approximation algorithms, Differential equations, Eikonal equation, Frequency modulation, MSFM, Mathematical model, Silicon, Three-dimensional displays, Unmanned aerial vehicles, Vectors, axis swapping, difference equations, fast marching methods, finite difference methods, finite differences, image processing, iterative methods, least squares approximations, multi-stencil schemes, multistencil version, nonconstant local cost model, permutation-invariant stencil sets, second order multistencil fast marching method, stencil orthogonality, stencil set},
	issn = {1057-7149},
	doi = {10.1109/TIP.2018.2880507},
	url = {https://ieeexplore.ieee.org/document/8531783/},
	author = {S. Merino-Caviedes and Lucilio Cordero-Grande and M. T. P{\'e}rez and Pablo Casaseca-de-la-Higuera and M. Mart{\'\i}n-Fern{\'a}ndez and R. Deriche and C. Alberola-L{\'o}pez}
}
@conference {774,
	title = {Systematic infrared image quality improvement using deep learning based techniques},
	booktitle = {Remote Sensing Technologies and Applications in Urban Environments},
	year = {2016},
	publisher = {International Society for Optics and Photonics},
	organization = {International Society for Optics and Photonics},
	author = {Zhang, Huaizhong and Pablo Casaseca-de-la-Higuera and Luo, Chunbo and Wang, Qi and Kitchin, Matthew and Parmley, Andrew and Monge-Alvarez, Jesus}
}
@conference {447,
	title = {A stochastic modelling framework for the reconstruction of cardiovascular signals},
	booktitle = {Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE},
	volume = {36},
	year = {2014},
	pages = {676-679},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Diego Mart{\'\i}n-Mart{\'\i}nez and Pablo Casaseca-de-la-Higuera and Marcos Martin-Fernandez and Amira, Abbes and Luo, Chunbo and Grecos, Christos and Carlos Alberola-Lopez}
}
@article {martin2013stochastic,
	title = {Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications},
	journal = {Biomedical Engineering, IEEE Transactions on},
	volume = {60},
	number = {9},
	year = {2013},
	pages = {2432{\textendash}2441},
	publisher = {IEEE},
	author = {Diego Mart{\'\i}n-Mart{\'\i}nez and Pablo Casaseca-de-la-Higuera and Marcos Martin-Fernandez and Carlos Alberola-Lopez}
}
@conference {vegas2008strain,
	title = {Strain Rate Tensor estimation in cine cardiac MRI based on elastic image registration},
	booktitle = {Computer Vision and Pattern Recognition Workshops, 2008. CVPRW{\textquoteright}08. IEEE Computer Society Conference on},
	year = {2008},
	pages = {1{\textendash}6},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Gonzalo Vegas-S{\'a}nchez-Ferrero and Antonio Trist{\'a}n-Vega and Lucilio Cordero-Grande and Pablo Casaseca-de-la-Higuera and Santiago Aja-Fern{\'a}ndez and Marcos Martin-Fernandez and Carlos Alberola-Lopez}
}
