Publications

Export 341 results:
Author Title [ Type(Desc)] Year
Journal Article
Aja-Fernández, S., A. H. Curiale, and G. Vegas-Sanchez-Ferrero, "A local fuzzy thresholding methodology for multiregion image segmentation", Knowledge-Based Systems, vol. 83, pp. 1-12, 07/2015.
Whitford, T. J., S. Woo Lee, J. S. Oh, R. de Luis-Garcia, 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.
Martin-Fernandez, M., and C. Alberola-Lopez, "On low order moments of the homodyned-k distribution", Ultrasonics, vol. 43, no. 4: Elsevier, pp. 283–290, 2005.
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, 2019.
Cordero-Grande, L., G. Vegas-Sanchez-Ferrero, P. Casaseca-de-la-Higuera, S. Aja-Fernández, and C. Alberola-Lopez, "A magnetic resonance software simulator for the evaluation of myocardial deformation estimation", Medical engineering & physics, vol. 35, no. 9: Elsevier, pp. 1331–1340, 2013.
Cordero-Grande, L., G. Vegas-Sanchez-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-Sanchez-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.
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.
Arribas, J. I., and J. Cid-Sueiro, "A model selection algorithm for a posteriori probability estimation with neural networks", IEEE Transactions on Neural Networks, vol. 16, pp. 799-809, 2005.
Casaseca-de-la-Higuera, P., F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "A multichannel model-based methodology for extubation readiness decision of patients on weaning trials", Biomedical Engineering, IEEE Transactions on, vol. 56, no. 7: IEEE, pp. 1849–1863, 2009.
Cárdenes-Almeida, R., R. de Luis-Garcia, and M. Bach-Cuadra, "A multidimensional segmentation evaluation for medical image data", Computer methods and programs in biomedicine, vol. 96, pp. 108–124, 2009.
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, vol. 39, pp. 94–103, 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.
Merino-Caviedes, S., L. Cordero-Grande, A.. Revilla-Orodea, M.. T. Perez, M. Martin-Fernandez, and C. Alberola-Lopez, "Multi-stencil streamline fast marching: a general 3D framework to determine myocardial thickness and transmurality in late enhancement images", Medical Imaging, IEEE Transactions on, vol. 33, pp. 23–37, 2014.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "A new methodology for the estimation of fiber populations in the white matter of the brain with the Funk–Radon transform", NeuroImage, vol. 49, no. 2: Academic Press, pp. 1301–1315, 2010.
Aja-Fernández, S., C. Alberola-Lopez, and C-F. Westin, "Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach", Image Processing, IEEE Transactions on, vol. 17, no. 8: IEEE, pp. 1383–1398, 2008.
Brion, V., C. Poupon, O. Riff, S. Aja-Fernández, A. Tristán-Vega, J-F. Mangin, D. Le Bihan, and F. Poupon, "Noise correction for HARDI and HYDI data obtained with multi-channel coils and Sum of Squares reconstruction: An anisotropic extension of the LMMSE", Magnetic resonance imaging, vol. 31, no. 8: Elsevier, pp. 1360–1371, 2013.
Krissian, K., and S. Aja-Fernández, "Noise-driven anisotropic diffusion filtering of MRI", Image Processing, IEEE Transactions on, vol. 18, no. 10: IEEE, pp. 2265–2274, 2009.
Aja-Fernández, S., G. Vegas-Sanchez-Ferrero, and A. Tristán-Vega, "Noise estimation in parallel MRI: GRAPPA and SENSE", Magnetic resonance imaging, vol. 32, no. 3: Elsevier, pp. 281–290, 2014.
Aja-Fernández, S., A. Tristán-Vega, and C. Alberola-Lopez, "Noise estimation in single-and multiple-coil magnetic resonance data based on statistical models", Magnetic resonance imaging, vol. 27, no. 10: Elsevier, pp. 1397–1409, 2009.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. M. Andres-de-Llano, JA. López-Villalobos, J. Ardura-Fernández, and C. Alberola-Lopez, "Nonlinear analysis of actigraphic signals for the assessment of the attention-deficit/hyperactivity disorder (ADHD)", Medical engineering & physics, vol. 34, no. 9: Elsevier, pp. 1317–1329, 2012.

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