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Journal Article
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.
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.
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.
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.
Aja-Fernández, S., G. Vegas-Sánchez-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.
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.
Royuela-del-Val, J., L. Cordero-Grande, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "Non-Rigid Groupwise Registration for Motion Estimation and Compensation in Compressed Sensing Reconstruction of Breath-Hold Cardiac Cine MRI", Magnetic Resonance in Medicine, 2015.
Pieciak, T., S. Aja-Fernández, and G. Vegas Sánchez-Ferrero, "Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, issue 10, pp. 2015-2029, 2017.
Abbaspour-Gilandeh, Y., S. Sabzi, F. Azadshahraki, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Non-destructive Estimation of Chlorophyll a Content in Red Delicious Apple Cultivar Based on Spectral and Color Data", Journal of Agricultural Sciences, vol. 26, pp. 339–348, 2020.
Pourdarbani, R., S. Sabzi, D. Kalantari, and J. I. Arribas, "Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different maturation stages", Chemometrics and Intelligent Laboratory Systems, pp. 104147, 2020.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J. Maria 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.
Alberola-Lopez, C., C. -Corredera, JR, and G. de Miguel-Vela, "Object CFAR detection in gamma-distributed textured-background images", IEE Proceedings-Vision, Image and Signal Processing, vol. 146, no. 3: IEE, pp. 130–136, 1999.
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-Lopez, "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.
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.
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.
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.
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.

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