@conference {974,
	title = {Data-driven and physics-informed learning of efficient acquisition protocols},
	booktitle = {ISMRM Workshop on Diffusion MRI: From Research to Clinic},
	year = {2022},
	address = {Amsterdam, The Netherlands},
	author = {{\'A}lvaro Planchuelo-G{\'o}mez and Descoteaux, Maxime and Aja-Fern{\'a}ndez, Santiago and Hutter, Jana and Jones, Derek K. and Tax, Chantal M.W.}
}
@article {839,
	title = {Direction-averaged diffusion-weighted MRI signal using different axisymmetric B-tensor encoding schemes},
	journal = {Magnetic Resonance in Medicine},
	volume = {n/a},
	year = {2020},
	month = {2020},
	keywords = {B-tensor encoding, diffusion-weighted~MRI, direction-averaged diffusion signal, high b-value, power-law},
	doi = {10.1002/mrm.28191},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/mrm.28191},
	author = {Maryam Afzali and Santiago Aja-Fern{\'a}ndez and Derek K. Jones}
}
@proceedings {723,
	title = {Determination of the optimal set of b-values for ADC mapping under a Rician noise assumption},
	year = {2017},
	pages = {3341},
	address = {Honolulu, HI, USA},
	abstract = {<p>Mapping of the apparent diffusion coefficient (ADC), estimated from a set of diffusion-weighted (DW) images acquired with different b-values, often suffers from low SNR, which can introduce large variance in ADC maps. Unfortunately, there is no consensus on the optimal b-values to maximize the noise performance of ADC map. In this work, we determine the optimal b-values to maximize the noise performance of ADC mapping by using a Cram{\'e}r-Rao Lower Bound (CRLB) approach under realistic noise assumptions. The strong agreement between the CRLB-based analysis, Monte-Carlo simulations, and ADC phantom experiment, suggests the utility of this approach to optimize DW-MRI acquisitions.</p>
},
	author = {{\'O}scar Pe{\~n}a-Nogales and Diego Hernando and Santiago Aja-Fern{\'a}ndez and Rodrigo de Luis-Garc{\'\i}a}
}
@conference {tristan2012deblurring,
	title = {Deblurring of probabilistic ODFs in quantitative diffusion MRI},
	booktitle = {Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on},
	year = {2012},
	pages = {932{\textendash}935},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Antonio Trist{\'a}n-Vega and Santiago Aja-Fern{\'a}ndez and Carl-Fredik Westin}
}
@article {vegas2012direct,
	title = {A direct calculation of moments of the sample variance},
	journal = {Mathematics and Computers in Simulation},
	volume = {82},
	number = {5},
	year = {2012},
	pages = {790{\textendash}804},
	publisher = {North-Holland},
	author = {Gonzalo Vegas-S{\'a}nchez-Ferrero and Santiago Aja-Fern{\'a}ndez and Marcos Martin-Fernandez and Palencia, C{\'e}sar}
}
@conference {aja2010dwi,
	title = {DWI acquisition schemes and diffusion tensor estimation: a simulation-based study},
	booktitle = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE},
	year = {2010},
	pages = {3317{\textendash}3320},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Santiago Aja-Fern{\'a}ndez and Antonio Trist{\'a}n-Vega and Pablo Casaseca-de-la-Higuera}
}
@article {tristan2010dwi,
	title = {DWI filtering using joint information for DTI and HARDI},
	journal = {Medical Image Analysis},
	volume = {14},
	number = {2},
	year = {2010},
	pages = {205{\textendash}218},
	publisher = {Elsevier},
	author = {Antonio Trist{\'a}n-Vega and Santiago Aja-Fern{\'a}ndez}
}
@inbook {tristan2009design,
	title = {Design and construction of a realistic DWI phantom for filtering performance assessment},
	booktitle = {Medical Image Computing and Computer-Assisted Intervention{\textendash}MICCAI 2009},
	year = {2009},
	pages = {951{\textendash}958},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	author = {Antonio Trist{\'a}n-Vega and Santiago Aja-Fern{\'a}ndez}
}
