@inbook {cardenes2012quantitative,
	title = {Quantitative Analysis of Pyramidal Tracts in Brain Tumor Patients Using Diffusion Tensor Imaging},
	booktitle = {Tumors of the Central Nervous System, Volume 4},
	year = {2012},
	pages = {143{\textendash}152},
	publisher = {Springer Netherlands},
	organization = {Springer Netherlands},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Emma Mu{\~n}oz-Moreno and Sarabia-Herrero, Rosario and Daniel Argibay-Qui{\~n}ones and Marcos Martin-Fernandez}
}
@article {cardenes2010analysis,
	title = {Analysis of the pyramidal tract in tumor patients using diffusion tensor imaging},
	journal = {NeuroImage},
	volume = {50},
	number = {1},
	year = {2010},
	pages = {27{\textendash}39},
	publisher = {Elsevier},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Emma Mu{\~n}oz-Moreno and Sarabia-Herrero, Rosario and Rodr{\'\i}guez-Velasco, Margarita and Juan Jos{\'e} Fuertes-Alija and Marcos Martin-Fernandez}
}
@article {cardenes2010fast,
	title = {Fast and accurate geodesic distance transform by ordered propagation},
	journal = {Image and Vision Computing},
	volume = {28},
	number = {3},
	year = {2010},
	pages = {307{\textendash}316},
	publisher = {Elsevier},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Carlos Alberola-Lopez and Juan Ruiz-Alzola}
}
@article {cardenes2010saturn,
	title = {Saturn: A software application of tensor utilities for research in neuroimaging},
	journal = {Computer methods and programs in biomedicine},
	volume = {97},
	number = {3},
	year = {2010},
	pages = {264{\textendash}279},
	publisher = {Elsevier},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Emma Mu{\~n}oz-Moreno and Antonio Trist{\'a}n-Vega and Marcos Martin-Fernandez}
}
@article {martin2009automatic,
	title = {Automatic articulated registration of hand radiographs},
	journal = {Image and Vision Computing},
	volume = {27},
	number = {8},
	year = {2009},
	pages = {1207{\textendash}1222},
	publisher = {Elsevier},
	author = {Miguel Angel Martin-Fernandez and Rub{\'e}n C{\'a}rdenes-Almeida and Emma Mu{\~n}oz-Moreno and Rodrigo de Luis-Garc{\'\i}a and Marcos Martin-Fernandez and Carlos Alberola-Lopez}
}
@inbook {cardenes2009characterization,
	title = {Characterization of anatomic fiber bundles for diffusion tensor image analysis},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention{\textendash}MICCAI 2009},
	year = {2009},
	pages = {903{\textendash}910},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Daniel Argibay-Qui{\~n}ones and Emma Mu{\~n}oz-Moreno and Marcos Martin-Fernandez}
}
@inbook {munoz2009review,
	title = {Review of techniques for registration of diffusion tensor imaging},
	booktitle = {Tensors in Image Processing and Computer Vision},
	year = {2009},
	pages = {273{\textendash}297},
	publisher = {Springer London},
	organization = {Springer London},
	author = {Emma Mu{\~n}oz-Moreno and Rub{\'e}n C{\'a}rdenes-Almeida and Marcos Martin-Fernandez}
}
@article {477,
	title = {A multidimensional segmentation evaluation for medical image data},
	journal = {Computer methods and programs in biomedicine},
	volume = {96},
	year = {2009},
	pages = {108{\textendash}124},
	abstract = {<p>Evaluation of segmentation methods is a crucial aspect in image processing, especially in the medical imaging field, where small differences between segmented regions in the anatomy can be of paramount importance. Usually, segmentation evaluation is based on a measure that depends on the number of segmented voxels inside and outside of some reference regions that are called gold standards. Although some other measures have been also used, in this work we propose a set of new similarity measures, based on different features, such as the location and intensity values of the misclassified voxels, and the connectivity and the boundaries of the segmented data. Using the multidimensional information provided by these measures, we propose a new evaluation method whose results are visualized applying a Principal Component Analysis of the data, obtaining a simplified graphical method to compare different segmentation results. We have carried out an intensive study using several classic segmentation methods applied to a set of MRI simulated data of the brain with several noise and RF inhomogeneity levels, and also to real data, showing that the new measures proposed here and the results that we have obtained from the multidimensional evaluation, improve the robustness of the evaluation and provides better understanding about the difference between segmentation methods.</p>
},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Rodrigo de Luis-Garc{\'\i}a and Bach-Cuadra, Meritxell}
}
@conference {de2007p6d,
	title = {Analysis of Ultrasound Images Based on Local Statistics. Application to the Diagnosis of Developmental Dysplasia of the Hip},
	booktitle = {Ultrasonics Symposium, 2007. IEEE},
	year = {2007},
	pages = {2531{\textendash}2534},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Rodrigo de Luis-Garc{\'\i}a and Santiago Aja-Fern{\'a}ndez and Rub{\'e}n C{\'a}rdenes-Almeida and Marcos Martin-Fernandez and Carlos Alberola-Lopez}
}
@conference {480,
	title = {Multimodal evaluation for medical image segmentation},
	booktitle = {Computer Analysis of Images and Patterns},
	year = {2007},
	publisher = {Springer},
	organization = {Springer},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Bach, Meritxell and Chi, Ying and Marras, Ioannis and Rodrigo de Luis-Garc{\'\i}a and Anderson, Mats and Cashman, Peter and Bultelle, Matthieu}
}
@conference {martin2007parameter,
	title = {Parameter Estimation of the Homodyned K Distribution Based on Signal to Noise Ratio},
	booktitle = {Ultrasonics Symposium, 2007. IEEE},
	year = {2007},
	pages = {158{\textendash}161},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Marcos Martin-Fernandez and Rub{\'e}n C{\'a}rdenes-Almeida and Carlos Alberola-Lopez}
}
@proceedings {cardenes2007usimagtool,
	title = {Usimagtool: an open source freeware software for ultrasound imaging and elastography},
	year = {2007},
	pages = {117{\textendash}127},
	author = {Rub{\'e}n C{\'a}rdenes-Almeida and Antonio Trist{\'a}n-Vega and Ferrero, GVS and Santiago Aja-Fern{\'a}ndez}
}
@article {munoz2005image,
	title = {Image registration based on automatic detection of anatomical landmarks for bone age assessment},
	journal = {WSEAS Transactions on Computers},
	volume = {4},
	number = {11},
	year = {2005},
	pages = {1596{\textendash}1603},
	author = {Emma Mu{\~n}oz-Moreno and Rub{\'e}n C{\'a}rdenes-Almeida and Rodrigo de Luis-Garc{\'\i}a and Miguel Angel Martin-Fernandez and Carlos Alberola-Lopez}
}
@inbook {alberola2000disnei,
	title = {disnei: A collaborative environment for medical images analysis and visualization},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention{\textendash}MICCAI 2000},
	year = {2000},
	publisher = {Springer},
	organization = {Springer},
	author = {Carlos Alberola-Lopez and Rub{\'e}n C{\'a}rdenes-Almeida and Marcos Martin-Fernandez and Miguel Angel Martin-Fernandez and Rodr{\'\i}guez-Florido, Miguel and Juan Ruiz-Alzola}
}
