@inbook {756,
	title = {Nonlinear despeckle filtering},
	booktitle = {Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video},
	year = {2018},
	publisher = {IET},
	organization = {IET},
	chapter = {8},
	issn = {978-1-78561-290-9},
	author = {Santiago Aja-Fern{\'a}ndez and Gabriel Ramos-Llord{\'e}n and Gonzalo Vegas-S{\'a}nchez-Ferrero}
}
@article {666,
	title = {Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach},
	journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
	volume = {39},
	year = {2017},
	month = {2017},
	pages = {2015-2029},
	chapter = {2015},
	abstract = {<p>Parallel magnetic resonance imaging (pMRI) techniques have gained a great importance both in research and clinical communities recently since they considerably accelerate the image acquisition process. However, the image reconstruction algorithms needed to correct the subsampling artifacts affect the nature of noise, i.e. it becomes non-stationary. Some methods have been proposed in the literature dealing with the non-stationary noise in pMRI. However, their performance depends on information not usually available such as multiple acquisitions, receiver noise matrices, sensitivity coil profiles, reconstruction coefficients, or even biophysical models of the data. Besides, some methods show an undesirable granular pattern on the estimates as a side effect of local estimation. Finally, some methods make strong assumptions that just hold in the case of high signal-to-noise ratio (SNR), which limits their usability in real scenarios. We propose a new automatic noise estimation technique for non-stationary Rician noise that overcomes the aforementioned drawbacks. Its effectiveness is due to the derivation of a variance-stabilizing transformation designed to deal with any SNR. The method was compared to the main state-of-the-art methods in synthetic and real scenarios. Numerical results confirm the robustness of the method and its better performance for the whole range of SNRs.</p>
},
	issn = {0162-8828},
	doi = {10.1109/TPAMI.2016.2625789},
	author = {Tomasz Pieciak and Santiago Aja-Fern{\'a}ndez and Gonzalo Vegas S{\'a}nchez-Ferrero}
}
@article {aja2014noise,
	title = {Noise estimation in parallel MRI: GRAPPA and SENSE},
	journal = {Magnetic resonance imaging},
	volume = {32},
	number = {3},
	year = {2014},
	pages = {281{\textendash}290},
	publisher = {Elsevier},
	author = {Santiago Aja-Fern{\'a}ndez and Gonzalo Vegas-S{\'a}nchez-Ferrero and Antonio Trist{\'a}n-Vega}
}
@article {brion2013noise,
	title = {Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE},
	journal = {Magnetic resonance imaging},
	volume = {31},
	number = {8},
	year = {2013},
	pages = {1360{\textendash}1371},
	publisher = {Elsevier},
	author = {V{\'e}ronique Brion and Poupon, Cyril and Riff, Olivier and Santiago Aja-Fern{\'a}ndez and Antonio Trist{\'a}n-Vega and Mangin, Jean-Fran{\c c}ois and Le Bihan, Denis and Poupon, Fabrice}
}
@conference {aja2013noise,
	title = {Noise estimation in magnetic resonance SENSE reconstructed data},
	booktitle = {Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE},
	year = {2013},
	pages = {1104{\textendash}1107},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Santiago Aja-Fern{\'a}ndez and Gonzalo Vegas-S{\'a}nchez-Ferrero and Rodrigo de Luis-Garc{\'\i}a and Antonio Trist{\'a}n-Vega}
}
@conference {aja2011noise,
	title = {Noise estimation in MR GRAPPA reconstructed data},
	booktitle = {Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on},
	year = {2011},
	pages = {1815{\textendash}1818},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Santiago Aja-Fern{\'a}ndez and Gonzalo Vegas-S{\'a}nchez-Ferrero and Antonio Trist{\'a}n-Vega}
}
@conference {garcia2010nurbs,
	title = {NURBS for the geometrical modeling of a new family of Compact-Supported Radial Basis Functions for elastic registration of medical images},
	booktitle = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE},
	year = {2010},
	pages = {5947{\textendash}5950},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Ver{\'o}nica Garc{\'\i}a-P{\'e}rez and Antonio Trist{\'a}n-Vega and Santiago Aja-Fern{\'a}ndez}
}
@article {tristan2010new,
	title = {A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk{\textendash}Radon transform},
	journal = {NeuroImage},
	volume = {49},
	number = {2},
	year = {2010},
	pages = {1301{\textendash}1315},
	publisher = {Academic Press},
	author = {Antonio Trist{\'a}n-Vega and Carl-Fredik Westin and Santiago Aja-Fern{\'a}ndez}
}
@article {aja2009noise,
	title = {Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models},
	journal = {Magnetic resonance imaging},
	volume = {27},
	number = {10},
	year = {2009},
	pages = {1397{\textendash}1409},
	publisher = {Elsevier},
	author = {Santiago Aja-Fern{\'a}ndez and Antonio Trist{\'a}n-Vega and Carlos Alberola-Lopez}
}
@article {krissian2009noise,
	title = {Noise-driven anisotropic diffusion filtering of MRI},
	journal = {Image Processing, IEEE Transactions on},
	volume = {18},
	number = {10},
	year = {2009},
	pages = {2265{\textendash}2274},
	publisher = {IEEE},
	author = {K Krissian and Santiago Aja-Fern{\'a}ndez}
}
@article {aja2008noise,
	title = {Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach},
	journal = {Image Processing, IEEE Transactions on},
	volume = {17},
	number = {8},
	year = {2008},
	pages = {1383{\textendash}1398},
	publisher = {IEEE},
	author = {Santiago Aja-Fern{\'a}ndez and Carlos Alberola-Lopez and Carl-Fredik Westin}
}
@proceedings {de2002neural,
	title = {A neural architecture for bone age assessment},
	year = {2002},
	pages = {161{\textendash}166},
	author = {Rodrigo de Luis-Garc{\'\i}a and J I Arribas and Santiago Aja-Fern{\'a}ndez and Lopez, C Alberola}
}
