@proceedings {984, title = {Tensors and Tracts at 64 mT}, volume = {104}, year = {2023}, month = {2023}, abstract = {

We present the first ever demonstration of Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) including quantitative measures of mean diffusivity, fractional anisotropy, and successful tractographic reconstruction of projection and commissural pathways on a portable system operating at 64 mT.

}, author = {Plumley, Alix and Padormo, Francesco and Cercignani, Mara and O{\textquoteright}Halloran, Rafael and Teixeira, Rui and {\'A}lvaro Planchuelo-G{\'o}mez and Legouhy, Antoine and Luo, Tianrui and Jones, Derek K} } @article {977, title = {Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI}, journal = {Frontiers in Neuroimaging}, volume = {2}, year = {2023}, issn = {2813-1193}, doi = {10.3389/fnimg.2023.1055463}, url = {https://www.frontiersin.org/articles/10.3389/fnimg.2023.1055463}, author = {Moya-S{\'a}ez, Elisa and de Luis-Garc{\'\i}a, Rodrigo and Alberola-L{\'o}pez, Carlos} } @conference {976, title = {Tensors and Tracts at 64 mT}, booktitle = {ISMRM Workshop on Diffusion MRI: From Research to Clinic}, year = {2022}, address = {Amsterdam, The Netherlands}, author = {Plumley, Alix and Padormo, Francesco and Cercignani, Mara and O{\textquoteright}Halloran, Rafael and Teixeira, Rui and {\'A}lvaro Planchuelo-G{\'o}mez and Legouhy, Antoine and Luo, Tianrui and Jones, Derek K.} } @article {924, title = {Temporal distribution of emergency room visits in patients with migraine and other headaches}, journal = {Expert Review of Neurotherapeutics}, volume = {21}, year = {2021}, pages = {599-605}, abstract = {

Background: Headache is a leading reason for presentation to the emergency department (ED) with migraine being the most frequently headache. To ensure the adequate staffing of healthcare providers during peak times of headache visits, we analyzed the temporal distribution of emergency department visits in patients presenting with headache and/or migraine.

Research design and methods: The authors conducted an ecological study, including all consecutive visits to the ED for headache. Patients were classified according to the IHS Classification. We analyzed circadian, circaseptan and circannual patterns for number of visits, comparing migraine patients with other headache patients.

Results: There were 2132 ED visits for headache, including primary headache in 1367 (64.1\%) cases; migraine in 963 (45.2\%); secondary headache in 404 (18.9\%); and unspecified headache in 366 (17.1\%). The circadian pattern showed peaks around 11:00{\textendash}13:00 and 17:00{\textendash}19:00, with visits during the night shift 45\% less frequent (p \< 0.001). The circaseptan pattern showed a peak on Monday-Tuesday and a low point on Sunday (p \< 0.007). The circannual pattern peaked in March and decreased in June.

Conclusions: ED visits for headache showed specific circadian, circaseptan and circannual variations. No differences were found in these patterns when comparing migraine patients to other headache patients.

}, doi = {10.1080/14737175.2021.1906222}, url = {https://doi.org/10.1080/14737175.2021.1906222}, author = {Garc{\'\i}a-Azor{\'\i}n, David and Abelaira-Freire, Jaime and Rodriguez-Adrada, Esther and Gonz{\'a}lez-Garc{\'\i}a, Nuria and {\'A}lvaro Planchuelo-G{\'o}mez and {\'A}ngel L. Guerrero and Porta-Etessam, Jes{\'u}s and Mart{\'\i}n-S{\'a}nchez, Francisco J} } @article {951, title = {Time-efficient three-dimensional transmural scar assessment provides relevant substrate characterization for ventricular tachycardia features and long-term recurrences in ischemic cardiomyopathy}, journal = {Scientific Reports}, volume = {11}, year = {2021}, month = {2021}, url = {https://www.nature.com/articles/s41598-021-97399-w}, author = {S. Merino-Caviedes and Guti{\'e}rrez, L. and Alfonso-Almaz{\'a}n, J. and Santiago Sanz-Est{\'e}banez and Lucilio Cordero-Grande and Quintanilla, J. and S{\'a}nchez-Gonz{\'a}lez, J. and Marina-Breysse, M. and Gal{\'a}n-Arriola, C. and Enr{\'\i}quez-V{\'a}zquez, D. and Torres, C. and Pizarro, G. and Ib{\'a}{\~n}ez, B. and Peinado, R. and Merino, J. and P{\'e}rez-Villacast{\'\i}n, J. and Jalife. J and L{\'o}pez-Yunta, M. and V{\'a}zquez, M. and Aguado-Sierra, J. and Gonz{\'a}lez-Ferrer, J. and P{\'e}rez-Castellano, N. and Mart{\'\i}n-Fern{\'a}ndez, M. and Alberola-L{\'o}pez, C and Filgueiras-Rama, D.} } @article {san2020two, title = {Two-stage memetic algorithm for blind equalisation in direct-sequence/code-division multiple-access systems}, journal = {IET Communications}, year = {2020}, publisher = {IET Digital Library}, author = {San-Jos{\'e}-Revuelta, Luis M and Pablo Casaseca-de-la-Higuera} } @article {863, title = {A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value}, journal = {Measurement}, volume = {152}, year = {2020}, pages = {107298}, abstract = {An automatic 3-variety computer vision orange fruit pH value assessment system in the visible-range is presented, including each 100 different color images from Bam, Blood and Thomson orange of which the true pH has been measured and is known in advance. A total of 452 features are extracted from segmented orange color images. Results with repeated trials include: true versus estimated mean pH values, true minus estimated pH values boxplots, fitness regression dispersion plots and various error measure boxplots, for both single orange variety as well as the three-orange varieties altogether (test set), showing consistent results over all three orange varieties. Regression coefficient for pH estimation in Bam, Blood and Thomson orange varieties, were 0.950, 0.935 and 0.957, respectively. Results show that the hybrid ANN-ABC estimates pH values in orange quite similarly among orange varieties, implying that properly pH values estimation is possible for different orange varieties, regardless of orange type.}, doi = {https://doi.org/10.1016/j.measurement.2019.107298}, url = {https://www.sciencedirect.com/science/article/pii/S0263224119311625}, author = {Sabzi, Sajad and Javadikia, Hossein and J I Arribas} } @inbook {757, title = {Techniques for tracking: image registration}, booktitle = {Handbook of Speckle Filtering and Tracking in Cardiovascular Ultrasound Imaging and Video}, year = {2018}, publisher = {IET}, organization = {IET}, chapter = {15}, issn = {978-1-78561-290-9}, author = {Ariel H. Curiale and Gonzalo Vegas-S{\'a}nchez-Ferrero and Santiago Aja-Fern{\'a}ndez} } @article {761, title = {Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity}, journal = {European Archives of Psychiatry and Clinical Neuroscience}, year = {2018}, month = {Feb}, issn = {1433-8491}, doi = {10.1007/s00406-018-0877-3}, url = {https://doi.org/10.1007/s00406-018-0877-3}, author = {Vicente Molina and Bachiller, Alejandro and Rodrigo de Luis-Garc{\'\i}a and Lubeiro, Alba and Poza, Jes{\'u}s and Hornero, Roberto and Alonso, Joan Francesc and Ma{\~n}anas, Miguel Angel and Marqu{\'e}s, Patricia and Romero, Sergio} } @conference {mi2018towards, title = {Towards Optimal Power Splitting in Simultaneous Power and Information Transmission}, booktitle = {2018 IEEE Global Communications Conference (GLOBECOM)}, year = {2018}, pages = {1{\textendash}6}, publisher = {IEEE}, organization = {IEEE}, author = {Mi, Yang and Luo, Chunbo and Min, Geyong and Pablo Casaseca-de-la-Higuera and Wang, Zhi} } @article {SanJos{\'e}Revuelta2016561, title = {Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications}, journal = {Applied Soft Computing}, volume = {49}, year = {2016}, pages = {561 - 569}, abstract = {Abstract This paper studies three of the most important optimization algorithms belonging to Natural Computation (NC): genetic algorithm (GA), tabu search (TS) and simulated quenching (SQ). A concise overview of these methods, including their fundamentals, drawbacks and comparison, is described in the first half of the paper. Our work is particularized and focused on a specific application: joint channel estimation and symbol detection in a Direct-Sequence/Code-Division Multiple-Access (DS/CDMA) multiuser communications scenario; therefore, its channel model is described and the three methods are explained and particularized for solving this. Important issues such as suboptimal convergence, cycling search or control of the population diversity have deserved special attention. Several numerical simulations analyze the performance of these three methods, showing, as well, comparative results with well-known classical algorithms such as the Minimum Mean Square Error estimator (MMSE), the Matched Filter (MF) or Radial Basis Function (RBF)-based detection schemes. As a consequence, the three proposed methods would allow transmission at higher data rates over channels under more severe fading and interference conditions. Simulations show that our proposals require less computational load in most cases. For instance, the proposed \{GA\} saves about 73\% of time with respect to the standard GA. Besides, when the number of active users doubles from 10 to 20, the complexity of the proposed \{GA\} increases by a factor of 8.33, in contrast to 32 for the optimum maximum likelihood detector. The load of \{TS\} and \{SQ\} is around 15{\textendash}25\% higher than that of the proposed GA.}, keywords = {Population diversity}, issn = {1568-4946}, doi = {http://dx.doi.org/10.1016/j.asoc.2016.08.034}, url = {http://www.sciencedirect.com/science/article/pii/S1568494616304288}, author = {Luis M. San-Jos{\'e}-Revuelta and J I Arribas} } @conference {656, title = {Tissue and Label Modelling for Segmentation of Scar with Contour Correction in Cardiac DE-CMR Volumes}, booktitle = {XXXIII Congreso Anual de la Sociedad Espa{\~n}ola de Ingenier{\'\i}a Biom{\'e}dica}, year = {2015}, month = {2015}, address = {Madrid, Spain}, author = {S. Merino-Caviedes and Lucilio Cordero-Grande and P{\'e}rez Rodr{\'\i}guez, M Teresa and T. Sevilla-Ruiz and A. Revilla-Orodea and Mart{\'\i}n-Fern{\'a}ndez, Marcos and Carlos Alberola-Lopez} } @conference {589, title = {Tissue and Label Modelling for Segmentation of Scar with Contour Correction in Cardiac DE-CMR Volumes}, booktitle = {XXXIII Congreso Anual de la Sociedad Espa{\~n}ola de Ingenier{\'\i}a Biom{\'e}dica}, year = {2015}, month = {11/2015}, address = {Madrid, Spain}, abstract = {Most scar segmentation methods for cardiac DE-CMR images are constrained by a previous myocardial segmentation that provides borders for the scar identification. However, the automation of these methods rely on an existing myocardial segmentation from CINE-CMR that is registered to the DE-CMR volume; in this step, however, alignment errors are usually introduced and they carry over to the labeling operation. These errors typically remain unchanged after tissue labeling, so inconsistencies between the two (alignment and labeling) may exist. We explore this issue and present a method that, with the same inputs, identifies the healthy and scarred tissue and selectively corrects the endocardial and epicardial contours depending on the image edges, the estimated probabilistic distributions and the proximity to the aligned myocardial borders. For this, we model the posterior probability of each ROI label with a Bayesian approach that unifies the prior tissue probabilities and the myocardial labels. The maximum a posteriori criterion is used to compute a first DE-CMR label map, which is afterwards refined by a connected component analysis. Preliminary results show better accuracy for the endocardial and epicardial contours, and the segmented scar compares favorably with respect to state of the art methods.}, author = {S. Merino-Caviedes and Lucilio Cordero-Grande and P{\'e}rez Rodr{\'\i}guez, M. T. and T. Sevilla-Ruiz and A. Revilla-Orodea and Mart{\'\i}n-Fern{\'a}ndez, M. and Carlos Alberola-Lopez} } @proceedings {581, title = {TDAH en atenci{\'o}n primaria: Registro de la Actividad mediante actimetr{\'\i}a ambulatoria. Mesa Redonda. Ponencia Invitada}, volume = {61}, year = {2012}, pages = {34-39}, address = {Granada, Spain}, author = {Susana Alberola-Lopez and Diego Mart{\'\i}n-Mart{\'\i}nez and Pablo Casaseca-de-la-Higuera and Irene Casares-Alonso and Isabel P{\'e}rez-Garc{\'\i}a and Alfredo Cano-Garcinu{\~n}o and L{\'o}pez-Villalobos, Jos{\'e} Antonio and Ruiz, F.C. and Jesus Maria Andres-de-Llano and Carlos Alberola-Lopez and Julio Ardura-Fernández} } @inbook {cordero2011topology, title = {Topology-preserving registration: a solution via graph cuts}, booktitle = {Combinatorial Image Analysis}, year = {2011}, pages = {420{\textendash}431}, publisher = {Springer}, organization = {Springer}, author = {Lucilio Cordero-Grande and Gonzalo Vegas-S{\'a}nchez-Ferrero and Pablo Casaseca-de-la-Higuera and Carlos Alberola-Lopez} } @proceedings {merino2011transmurality, title = {Transmurality Maps in Late Enhancement Cardiac Magnetic Resonance Imaging by a New Radial Fast Marching Method}, year = {2011}, pages = {211{\textendash}214}, author = {S. Merino-Caviedes and Lucilio Cordero-Grande and P{\'e}rez, M Teresa and Marcos Martin-Fernandez} } @conference {de2010tractography, title = {Tractography clustering for fiber selection in ROI-based diffusion tensor studies}, booktitle = {Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE}, year = {2010}, pages = {5665{\textendash}5668}, publisher = {IEEE}, organization = {IEEE}, author = {Rodrigo de Luis-Garc{\'\i}a and Carlos Alberola-Lopez} } @book {aja2009tensors, title = {Tensors in image processing and computer vision}, year = {2009}, publisher = {Springer}, organization = {Springer}, author = {Santiago Aja-Fern{\'a}ndez and Rodrigo de Luis-Garc{\'\i}a and Tao, Dacheng and Li, Xuelong} } @article {de2008texture, title = {Texture and color segmentation based on the combined use of the structure tensor and the image components}, journal = {Signal Processing}, volume = {88}, number = {4}, year = {2008}, pages = {776{\textendash}795}, publisher = {Elsevier}, author = {Rodrigo de Luis-Garc{\'\i}a and Deriche, Rachid and Carlos Alberola-Lopez} } @article {martin2007techniques, title = {Techniques in the contour detection of kidneys and their applications}, journal = {World Scientific Publishing Company}, year = {2007}, pages = {381{\textendash}398}, author = {Marcos Martin-Fernandez and Lucilio Cordero-Grande and Emma Mu{\~n}oz-Moreno and Carlos Alberola-Lopez} } @conference {aja2007tissue, title = {Tissue identification in ultrasound images using rayleigh local parameter estimation}, booktitle = {Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on}, year = {2007}, pages = {1129{\textendash}1133}, publisher = {IEEE}, organization = {IEEE}, author = {Santiago Aja-Fern{\'a}ndez and Marcos Martin-Fernandez and Carlos Alberola-Lopez} } @inbook {westin2006tensor, title = {Tensor field regularization using normalized convolution and markov random fields in a bayesian framework}, booktitle = {Visualization and Processing of Tensor Fields}, year = {2006}, pages = {381{\textendash}398}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, author = {Carl-Fredik Westin and Marcos Martin-Fernandez and Carlos Alberola-Lopez and Juan Ruiz-Alzola and Knutsson, Hans} } @inbook {de2005tensor, title = {Tensor processing for texture and colour segmentation}, booktitle = {Image Analysis}, year = {2005}, pages = {1117{\textendash}1127}, publisher = {Springer}, organization = {Springer}, author = {Rodrigo de Luis-Garc{\'\i}a and Deriche, Rachid and Rousson, Mikael and Carlos Alberola-Lopez} } @inbook {martin2005two, title = {Two methods for validating brain tissue classifiers}, booktitle = {Medical Image Computing and Computer-Assisted Intervention{\textendash}MICCAI 2005}, year = {2005}, pages = {515{\textendash}522}, publisher = {Springer Berlin Heidelberg}, organization = {Springer Berlin Heidelberg}, author = {Marcos Martin-Fernandez and Bouix, Sylvain and Ungar, Lida and McCarley, Robert W and Martha E Shenton} } @article {san2003theoretical, title = {A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data}, journal = {Ultrasound in medicine \& biology}, volume = {29}, number = {2}, year = {2003}, pages = {255{\textendash}269}, publisher = {Elsevier}, author = {Raul San Jose-Estepar and Marcos Martin-Fernandez and Caballero-Mart{\'\i}nez, P Pablo and Carlos Alberola-Lopez and Juan Ruiz-Alzola} } @article {martín2001topology, title = {A topology-based filling algorithm}, journal = {Computers \& Graphics}, volume = {25}, number = {3}, year = {2001}, pages = {493{\textendash}509}, publisher = {Elsevier}, author = {Marcos Martin-Fernandez and Miguel Angel Martin-Fernandez and Carlos Alberola-Lopez and Juan Ruiz-Alzola} }