Publications

Export 441 results:
Author Title [ Type(Asc)] Year
Journal Article
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.
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.
Fernández-Linsenbarth, I., Á. Planchuelo-Gómez, Á. Díez, A. Arjona-Valladares, R. de Luis-García, Ó. Martín-Santiago, J. Antonio Benito-Sánchez, Á. Pérez-Laureano, D. González-Parra, C. Montes-Gonzalo, et al., "Neurobiological underpinnings of cognitive subtypes in psychoses: A cross-diagnostic cluster analysis", Schizophrenia Research, vol. 229, pp. 102-111, 2021.
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.
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.
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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Multimodal fusion analysis of structural connectivity and gray matter morphology in migraine", Human Brain Mapping, vol. 42, issue 4, pp. 908-921, 2021.
Aja-Fernández, S., T. Pieciak, C. Martín-Martín, Á. Planchuelo-Gómez, R. de Luis-García, and A. Tristán-Vega, "Moment-based representation of the diffusion inside the brain from reduced DMRI acquisitions: Generalized AMURA", Medical Image Analysis, vol. 77, pp. 102356, 2022.
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.
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.
Gonzalez-Martinez, A., Á. Planchuelo-Gómez, A. Vieira Campos, F. Martínez-Dubarbie, J. Vivancos, and M. De Toledo-Heras, "Medium-term changes in patients with epilepsy during the COVID-19 pandemic", Acta Neurologica Scandinavica, vol. 144, pp. 450-459, 2021.
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., and C. Alberola-Lopez, "Matrix modeling of hierarchical fuzzy systems", Fuzzy Systems, IEEE Transactions on, vol. 16, no. 3: IEEE, pp. 585–599, 2008.
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.
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.
Treceño-Fernández, D., J. Calabia-del-Campo, F. Matute-Teresa, M. L. Bote-Lorenzo, E. Gómez-Sánchez, R. de Luis-García, and C. Alberola-López, "Magnetic Resonance Simulation in Education: Quantitative Evaluation of an Actual Classroom Experience", Sensors, vol. 21, pp. 6011, 2021.
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.
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.
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.
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.
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.
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.
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.
Lopez-Messa, J B., JR. Garmendia-Leiza, 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.

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