Publications

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A
Aja-Fernández, S., A. Tristán-Vega, and D. K. Jones, "Apparent propagator anisotropy from single-shell diffusion MRI acquisitions", Magnetic Resonance in Medicine, vol. 85, issue 5, pp. 2869-2881, 2021.
González-Jaime, L., M. Nachtegeal, E. Kerre, G. Vegas-Sánchez-Ferrero, and S. Aja-Fernández, "Applying a parametric approach for the task of nonstationary noise removal with missing information", Computational Cybernetics (ICCC), 2013 IEEE 9th International Conference on: IEEE, pp. 23–28, 2013.
Martin-Fernandez, M. Angel, E. Muñoz-Moreno, M. Martin-Fernandez, and C. Alberola-Lopez, "Articulated registration: Elastic registration based on a wire-model", Medical Imaging: International Society for Optics and Photonics, pp. 182–191, 2005.
Veraart, J., S. Winzeck, Á. Planchuelo-Gómez, B. Fricke, E. N. Kornaropoulos, H. Merisaari, T. Pieciak, Y. Zou, and M. Descoteaux, "Assessing the variability of brain diffusion MRI preprocessing pipelines using a Region-of-Interest analysis", 2023 ISMRM & ISMRT Annual Meeting & Exhibition, vol. 5015, 2023.
Cordero-Grande, L., T. Sevilla-Ruiz, A. Revilla, M. Martin-Fernandez, and C. Alberola-Lopez, "Assessment of the fibrotic myocardial tissue mechanics by image processing", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
de Luis-García, R., G. Vegas-Sánchez-Ferrero, S. Aja-Fernández, and C. Alberola-Lopez, "Atlas-based segmentation of white matter structures from DTI using tensor invariants and orientation", Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE: IEEE, pp. 503–506, 2013.
de Luis-García, R., G. Cabús-Piñol, C. Imaz-Roncero, D. Argibay-Quiñones, G. Barrio-Arranz, S. Aja-Fernández, and C. Alberola-Lopez, "Attention Deficit/Hyperactivity Disorder and Medication with Stimulants in Young Children: A DTI Study", Progress in Neuro-Psychopharmacology and Biological Psychiatry, vol. 57: Elsevier, 2015.
Monge-Álvarez, J., C. Hoyos-Barceló, K. Dahal, and P. Casaseca-de-la-Higuera, "Audio-cough event detection based on moment theory", Applied Acoustics, vol. 135, pp. 124–135, 2018.
Sanz-Estébanez, S., J. Royuela-del-Val, S. Merino-Caviedes, A. Revilla-Orodea, T. Sevilla-Ruiz, M. Martin-Fernandez, and C. Alberola-Lopez, "An Automated Tensorial Classification Procedure for Left Ventricular Hypertrophic Cardiomyopathy", IWBBIO 2016 (4th International Work-Conference on Bioinformatics and Biomedical Engineering), LNBI 9656, vol. 1, Granada, Spain, pp. 1-12, 2016.
Sabzi, S., Y. Abbaspour-Gilandeh, G. Garcia-Mateos, A. Ruiz-Canales, J. M. Molina-Martinez, and J. I. Arribas, "An Automatic Non-Destructive Method for the Classification of the Ripeness Stage of Red Delicious Apples in Orchards Using Aerial Video", Agronomy, vol. 9, issue 84, 2019.
Martin-Fernandez, M. Angel, R. Cárdenes-Almeida, E. Muñoz-Moreno, R. de Luis-García, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic articulated registration of hand radiographs", Image and Vision Computing, vol. 27, no. 8: Elsevier, pp. 1207–1222, 2009.
Arribas, J. I., V. D. Calhoun, and T. Adali, "Automatic bayesian classification of healthy controls, bipolar disorder, and schizophrenia using intrinsic connectivity maps from fMRI data", IEEE Transactions on Biomedical Engineering, vol. 57, pp. 2850-2860, 2010.
Martin-Fernandez, M. Angel, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic bone age assessment: A registration approach", Medical Imaging 2003: International Society for Optics and Photonics, pp. 1765–1776, 2003.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, J. Maria Andres-de-Llano, J R. Garmendia-Leiza, S. Alberola-Lopez, and C. Alberola-Lopez, "Automatic detection of wakefulness and rest intervals in actigraphic signals: A data-driven approach", Medical engineering & physics, vol. 36, no. 12: Elsevier, pp. 1585–1592, 2014.
Casaseca-de-la-Higuera, P., D. Martín-Martínez, S. Alberola-Lopez, J. Maria Andres-de-Llano, J. Antonio López-Villalobos, JR. Garmendia-Leiza, and C. Alberola-Lopez, "Automatic diagnosis of ADHD based on multichannel nonlinear analysis of actimetry registries", Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE: IEEE, pp. 4204–4207, 2012.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, S. Alberola-Lopez, J.A. López-Villalobos, F.C. Ruiz, J. Maria Andres-de-Llano, J R. Garmendia-Leiza, and J. Ardura-Fernández, "Automatic diagnosis of ADHD based on nonlinear analysis of actimetry registries", Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, vol. 32, Prague, Czech Rep., pp. 685-688, 2011.
Aja-Fernández, S., G. Vegas-Sánchez-Ferrero, M. Martin-Fernandez, and C. Alberola-Lopez, "Automatic noise estimation in images using local statistics. Additive and multiplicative cases", Image and Vision Computing, vol. 27, no. 6: Elsevier, pp. 756–770, 2009.
Pourdarbani, R., S. Sabzi, D. Kalantari, R. Karimzadeh, E. Ilbeygi, and J. I. Arribas, "Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data", Biosystems Engineering, vol. 195, pp. 136–151, 2020.
de Luis-García, R., A. C Lopez, G. Kindlmann, and C-F. Westin, "Automatic segmentation of white matter structures from DTI using tensor invariants and tensor orientation", Proc. Intl. Soc. Mag. Reson. Med, 2009.
B
Martin-Fernandez, M., and C. Alberola-Lopez, "A Bayesian Approach to in vivo Kidney Ultrasound Contour Detection Using Markov Random Fields", Medical Image Computing and Computer-Assisted Intervention—MICCAI 2002: Springer, pp. 397–404, 2002.
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Benchmarking Machine-Learning-Based Object Detection on a UAV and Mobile Platform", 2019 IEEE Wireless Communications and Networking Conference (WCNC): IEEE, pp. 1–6, 2019.
Garmendia-Leiza, J R., J. Maria Andres-de-Llano, J. Ardura-Fernández, J B. Lopez-Messa, C. Alberola-Lopez, and P. Casaseca-de-la-Higuera, "Beta blocker therapy modifies circadian rhythm acute myocardial infarction", International journal of cardiology, vol. 147, no. 2: Elsevier, pp. 316–317, 2011.
Pieciak, T., I. Rabanillo-Viloria, and S. Aja-Fernández, "Bias Correction for Non-Stationary Noise Filtering in MRI", 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI), Washington DC, 2018.
Tristán-Vega, A., C-F. Westin, and S. Aja-Fernández, "Bias of least squares approaches for diffusion tensor estimation from array coils in DT–MRI", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 919–926, 2009.
de Luis-García, R., C. Alberola-Lopez, O. Aghzout, and J. Ruiz-Alzola, "Biometric identification systems", Signal Processing, vol. 83, no. 12: Elsevier, pp. 2539–2557, 2003.

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