Publications

Export 385 results:
Author Title [ Type(Desc)] Year
Journal Article
Aja-Fernández, S., D. García-Martín, A. Tristán-Vega, and G. Vegas-Sánchez-Ferrero, "Improving GRAPPA reconstruction by frequency discrimination in the ACS lines", International Journal of Computer Assisted Radiology and Surgery, vol. 10, issue 10, pp. 1699-1710, 2015.
Garmendia-Leiza, J R., A. M Garcia, J. María And De Llano, D. Martín-Martínez, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "Influence of institutionalization on the sleep pattern in elderly population", Sleep Medicine, vol. 14: Elsevier, pp. e181–e182, 2013.
Aja-Fernández, S., and A. Tristán-Vega, "Influence of noise correlation in multiple-coil statistical models with sum of squares reconstruction", Magnetic Resonance in Medicine, vol. 67, no. 2: Wiley Subscription Services, Inc., A Wiley Company, pp. 580–585, 2012.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Influence of ultrasound speckle tracking strategies for motion and strain estimation", Medical Image Analysis, vol. 32, pp. 184 - 200, 2016.
Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-Lopez, "Integration of an Intelligent Tutoring System in a Magnetic Resonance Simulator for Education: Technical Feasibility and User Experience", Computer Methods and Programs in Biomedicine, pp. 105634, 2020.
Royuela-del-Val, J., L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "Jacobian weighted temporal total variation for motion compensated compressed sensing reconstruction of dynamic MRI", Magnetic Resonance in Medicine, 2016.
Sanz-Estébanez, S., I. Rabanillo-Viloria, J. Royuela-del-Val, S. Aja-Fernández, and C. Alberola-Lopez, "Joint Groupwise Registration and ADC Estimation in the Liver using a B-Value Weighted Metric", Magnetic Resonance Imaging, vol. 46, pp. 1-8, 2018.
Ruiz-Alzola, J., C. Alberola-Lopez, and C-F. Westin, "Kriging filters for multidimensional signal processing", Signal Processing, vol. 85, no. 2: Elsevier, pp. 413–439, 2005.
Lopez-Messa, J B., G. -Leiza, JR, MD. Aguilar-Garcia, J. María And De Llano, J. Ardura-Fernández, and C. Alberola-Lopez, "La edad como factor modificador del ritmo circadiano del infarto agudo de miocardio", Medicina intensiva, vol. 29, no. 9: Elsevier, pp. 455–461, 2005.
Arribas, J. I., G. V. Sanchez-Ferrero, G. Ruiz-Ruiz, and J. Gomez-Gil, "Leaf classification in sunflower crops by computer vision and neural networks", Computers and Electronics in Agriculture, vol. 78, pp. 9-18, 2011.
Tristán-Vega, A., S. Aja-Fernández, and C-F. Westin, "Least squares for diffusion tensor estimation revisited: Propagation of uncertainty with Rician and non-Rician signals", NeuroImage, vol. 59, no. 4: Academic Press, pp. 4032–4043, 2012.
Royuela-del-Val, J., F. Simmross-Wattenberg, and C. Alberola-Lopez, "Libstable: Fast, parallel, and high-precision computation of α-stable distributions in R, C/C++, and MATLAB", Journal of Statistical Software, vol. 78, issue 1, pp. 1-25, 2017.
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-García, P. Savadjiev, J. L. Alvarado, C-F. Westin, M. Niznikiewicz, P. G. Nestor, and R. W. McCarley, "Localized abnormalities in the cingulum bundle in patients with schizophrenia: A Diffusion Tensor tractography study", NeuroImage: Clinical, vol. 5, pp. 93–99, 2014.
Peña-Nogales, Ó., T. Michael Ellmore, R. de Luis-García, J. Suescun, M. Caryn Schiess, and L. Giancardo, "Longitudinal Connectomes as a Candidate Progression Marker for Prodromal Parkinson's Disease", Frontiers in Neuroscience, vol. 12, pp. 967, 2018.
Planchuelo-Gómez, Á., P. Odriozola-González, M. Jesús Irurtia, and R. de Luis-García, "Longitudinal evaluation of the psychological impact of the COVID-19 crisis in Spain", Journal of Affective Disorders, vol. 277, pp. 842-849, 2020.
Monge-Alvarez, J., C. Hoyos-Barcelo, L. M. San Jose-Revuelta, and P. Casaseca-de-la-Higuera, "A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features", IEEE Transactions on Biomedical Engineering, vol. 66, pp. 2319-2330, 2019.
Cordero-Grande, L., G. Vegas-Sánchez-Ferrero, P. Casaseca-de-la-Higuera, and C. Alberola-Lopez, "A Markov random field approach for topology-preserving registration: Application to object-based tomographic image interpolation", Image Processing, IEEE Transactions on, vol. 21, no. 4: IEEE, pp. 2047–2061, 2012.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Matching pursuit-based compressive sensing in a wearable biomedical accelerometer fall diagnosis device", Biomedical signal processing and control, vol. 33, pp. 96–108, 2017.
Aja-Fernández, S., and C. Alberola-Lopez, "Matrix modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
Curiale, A. H., G. Vegas-Sánchez-Ferrero, J. G. Bosch, and S. Aja-Fernández, "A Maximum Likelihood Approach to Diffeomorphic Speckle Tracking for 3D Strain Estimation in Echocardiography", Medical Image Analysis, pp. -, 2015.
Aja-Fernández, S., R. de Luis-García, M. Afzali, M. Molendowska, T. Pieciak, and A. Tristán-Vega, "Micro-structure diffusion scalar measures from reduced MRI acquisitions", PLOS ONE, vol. 15, pp. 1-25, 2020.
Ruiz-Alzola, J., C. Alberola-Lopez, and J-R. Casar Corredera, "Model-based stereo-visual tracking: Covariance analysis and tracking schemes", Signal Processing, vol. 80, no. 1: Elsevier, pp. 23–43, 2000.
Cordero-Grande, L., J. Royuela-del-Val, S. Sanz-Estébanez, M. Martin-Fernandez, and C. Alberola-Lopez, "Multi-oriented windowed harmonic phase reconstruction for robust cardiac strain imaging", Medical Image Analysis, vol. 29, pp. 1-11, 2016.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple Comparator Classifier Framework for Accelerometer-Based Fall Detection and Diagnostic", Applied Soft Computing, In press, 2015.
Gibson, R. M., A. Amira, N. Ramzan, P. Casaseca-de-la-Higuera, and Z. Pervez, "Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic", Applied Soft Computing, vol. 39, pp. 94–103, 2016.

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