Publications

Export 441 results:
Author Title [ Type(Desc)] Year
Filters: Filter is   [Clear All Filters]
Journal Article
Amado-Caballero, P., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio Lopez-Villalobos, J. Ramon Garmendia-Leiza, and C. Alberola-Lopez, "Objective ADHD diagnosis using Convolutional Neural Networks over Daily-Life Activity Records", IEEE Journal of Biomedical and Health Informatics, 2020.
Simmross-Wattenberg, F., M. Rodríguez-Cayetano, J. Royuela-del-Val, E. Martín-González, E. Moya-Sáez, M. Martín-Fernández, and C. Alberola-López, "OpenCLIPER: An OpenCL-Based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices", IEEE Journal of Biomedical and Health Informatics, vol. 23, pp. 1702-1709, July, 2019.
Casaseca-de-la-Higuera, P., A. Tristán-Vega, S. Aja-Fernández, C. Alberola-Lopez, C-F. Westin, and R. San Jose-Estepar, "Optimal real-time estimation in diffusion tensor imaging", Magnetic resonance imaging, vol. 30, no. 4: Elsevier, pp. 506–517, 2012.
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, vol. 81, pp. 989–1003, 2019.
Peña-Nogales, Ó., Y. Zhang, X. Wang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimized Diffusion-Weighting Gradient Waveform Design (ODGD) formulation for motion compensation and concomitant gradient nulling", Magnetic resonance in medicine, 2018.
Abbaspour-Gilandeh, Y., S. Sabzi, and J. I. Arribas, "An Outdoors Multi-stage Fruit-tree Orchard Video Image Segmentation System under Natural Conditions", Journal of Agricultural Sciences, vol. 25, issue 4, 2019.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Perceived quality of life (QOLIE-31-P), depression (NDDI-E), anxiety (GAD-7), and insomnia in patients with epilepsy attended at a refractory epilepsy unit in real-life clinical practice", Neurological Sciences, vol. 43, issue 3, pp. 1955-1964, 2022.
López, J. Trigo, D. García-Azorín, Á. Planchuelo-Gómez, C. García-Iglesias, C. Dueñas-Gutiérrez, and Á. L. Guerrero, "Phenotypic characterization of acute headache attributed to SARS-CoV-2: An ICHD-3 validation study on 106 hospitalized patients", Cephalalgia, vol. 40, pp. 1432-1442, 2020.
de Luis-García, R., R. Deriche, M. Rousson, and C. Alberola-Lopez, "Poster Presentations 2-Pattern Recognition, Image Processing, and Applications-Tensor Processing for Texture and Colour Segmentation", Lecture Notes in Computer Science, vol. 3540: Berlin: Springer-Verlag, 1973-, pp. 1117–1127, 2005.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Probabilistic Tissue Characterization for Ultrasound Images", Insight Journal, 2015.
Odriozola-González, P., Á. Planchuelo-Gómez, M. Jesús Irurtia, and R. de Luis-García, "Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university", Psychiatry Research, vol. 290, pp. 113108, 2020.
Odriozola-González, P., Á. Planchuelo-Gómez, M. Jesús Irurtia, and R. de Luis-García, "Psychological symptoms of the outbreak of the COVID-19 confinement in Spain", Journal of Health Psychology, pp. 1359105320967086, 2020.
Pieciak, T., M. Afzali, F. Bogusz, S. Aja-Fernández, and D. K. Jones, "Q-space quantitative diffusion MRI measures using a stretched-exponential representation", arXiv, 2020.
Sánchez-Rodríguez, C., Á. Sierra, Á. Planchuelo-Gómez, E. Martínez-Pías, Á. L. Guerrero, and D. García-Azorín, "Real world effectiveness and tolerability of candesartan in the treatment of migraine: a retrospective cohort study", Scientific Reports, vol. 11, pp. 3846, 2021.
Menchón-Lara, R-M., F. Simmross-Wattenberg, P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-López, "Reconstruction techniques for cardiac cine MRI", Insights into imaging, vol. 10, no. 1: Springer Berlin Heidelberg, pp. 100, 2019.
Barneto-Valero, M. Cristina, J R. Garmendia-Leiza, J. Ardura-Fernández, P. Casaseca-de-la-Higuera, J. Maria Andres-de-Llano, and E. Corral-Torres, "Relation between Myocardial Infarction and Cyrcadian Rhythm in Patients Attended in a Prehospital Emergency Service", Medicina Clínica, vol. 139, pp. 515-521, 2012.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, S. Antón-Juarros, and R. de Luis-García, "Response prediction for chronic migraine preventive treatment by gray matter morphometry in magnetic resonance imaging: a pilot study", Revista de Neurologia, vol. 71, issue 11, pp. 399-406, 2020.
Aja-Fernández, S., M. Niethammer, M. Kubicki, M. E. Shenton, and C-F. Westin, "Restoration of DWI data using a Rician LMMSE estimator", Medical Imaging, IEEE Transactions on, vol. 27, no. 10: IEEE, pp. 1389–1403, 2008.
Sanz-Estébanez, S., T. Pieciak, C. Alberola-López, and S. Aja-Fernández, "Robust Estimation of the Apparent Diffusion Coefficient Invariant to Acquisition Noise and Physiological Motion", Magnetic Resonance Imaging, vol. 53, pp. 123-133, 2018.
Monge-Álvarez, J., C. Hoyos-Barceló, P. Lesso, and P. Casaseca-de-la-Higuera, "Robust detection of audio-cough events using local Hu moments", IEEE journal of biomedical and health informatics, vol. 23, pp. 184–196, 2019.
Cárdenes-Almeida, R., E. Muñoz-Moreno, A. Tristán-Vega, and M. Martin-Fernandez, "Saturn: A software application of tensor utilities for research in neuroimaging", Computer methods and programs in biomedicine, vol. 97, no. 3: Elsevier, pp. 264–279, 2010.
Aja-Fernández, S., T. Pieciak, A. Tristán-Vega, G. Vegas-Sánchez-Ferrero, V. Molina, and R. de Luis-García, "Scalar diffusion-MRI measures invariant to acquisition parameters: A first step towards imaging biomarkers", Magnetic Resonance Imaging, vol. 54, pp. 194 - 213, 2018.
Fernández-Linsenbarth, I., Á. Planchuelo-Gómez, R. M. Beño-Ruiz-de-la-Sierra, A. Díez, A. Arjona, A. Pérez, A. Rodríguez-Lorenzana, P. del Valle, R. de Luis-García, G. Mascialino, et al., "Search for schizophrenia and bipolar biotypes using functional network properties", Brain and Behavior, vol. 11, pp. e2415, 2021.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, and C. Alberola-López, "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model", IEEE Transactions on Image Processing, vol. 28, issue 4, pp. 1967–1979, 04/2019.

Pages