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Martín-Martínez, D., P. Casaseca-de-la-Higuera, C. Alberola-Lopez, J R. Garmendia-Leiza, J. María And De Llano, and S. Alberola Lopez, "Utility of the statistical and nonlinear analysis for the actigraphic sleep pattern characterization", Sleep Medicine, vol. 14: Elsevier, pp. e181, 2013.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "Cardiovascular signal reconstruction based on shape modelling and non-stationary temporal modelling", Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European: IEEE, pp. 1826–1830, 2012.
Martín-Martín, C., Á. Planchuelo-Gómez, Á. L. Guerrero, D. García-Azorín, A. Tristán-Vega, R. de Luis-García, and S. Aja-Fernández, "Viability of AMURA biomarkers from single-shell diffusion MRI in clinical studies", Frontiers in Neuroscience, vol. 17, pp. 1106350, 2023.
Martín-Hernández, N., J. Royuela-del-Val, V. García-Pérez, F. Simmross-Wattenberg, M. Martin-Fernandez, and C. Alberola-Lopez, "Diseño e implementación de plugins en el entorno GIMIAS para procesado y visualización de señales electrofisiológicas asociadas a problemas cardiovasculares", Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, España, Sociedad Española de Ingeniería Biomédica, 2012.
Martín-González, E., E. Moya-Sáez, R-M. Menchón-Lara, J. Royuela-del-Val, C. Palencia-de-Lara, M. Rodríguez-Cayetano, F. Simmross-Wattenberg, and C. Alberola-Lopez, "A Clinically Viable Vendor-Independent and Device-Agnostic Solution for Accelerated Cardiac MRI Reconstruction", Computer Methods and Programs in Biomedicine, vol. 207, 2021.
Martín-González, E., R. de Luis-García, P. Casaseca-de-la-Higuera, J. R. Garmendia-Leiza, J. Maria Andres-de-Llano, and C. Alberola-López, "Mapping Raw Acceleration Data on ActiGraph Counts: A Machine Learning Approach", Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality, New York, NY, USA, ACM, 2018.
Martín-González, E., T. Sevilla, A. Revilla-Orodea, P. Casaseca-de-la-Higuera, and C. Alberola-López, "Groupwise Non-Rigid Registration with Deep Learning: An Affordable Solution Applied to 2D Cardiac Cine MRI Reconstruction", Entropy, vol. 22, pp. 687, 2020.
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.
Martinez-Alpiste, I., P. Casaseca-de-la-Higuera, J-M. Alcaraz-Calero, C. Grecos, and Q. Wang, "Smartphone-based object recognition with embedded machine learning intelligence for unmanned aerial vehicles", Journal of Field Robotics, vol. 37, no. 3, pp. 404–420, 2020.
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.
Martin-Fernandez, M., C. Alberola-Lopez, D. Guerrero-Rodriguez, and J. Ruiz-Alzola, "Coding technique with progressive reconstruction based on VQ and entropy coding applied to medical images", International Symposium on Optical Science and Technology: International Society for Optics and Photonics, pp. 171–181, 2000.
Martin-Fernandez, M., M. Angel Martin-Fernandez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A topology-based filling algorithm", Computers & Graphics, vol. 25, no. 3: Elsevier, pp. 493–509, 2001.
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.
Martin-Fernandez, M., E. Muñoz-Moreno, L. Cammoun, J-P. Thiran, C-F. Westin, and C. Alberola-Lopez, "Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data", Medical image analysis, vol. 13, no. 1: Elsevier, pp. 19–35, 2009.
Martin-Fernandez, M., R. San Jose-Estepar, and C. Alberola-Lopez, "Maximum likelihood contour estimation using beta-statistics in ultrasound images", Image and Signal Processing and Analysis, 2001. ISPA 2001. Proceedings of the 2nd International Symposium on: IEEE, pp. 207–212, 2001.
Martin-Fernandez, M. Angel, C. Alberola-Lopez, J. Sanz de Acedo, and J. Ruiz-Alzola, "Multiresolution compression schemes for medical image and volume data", Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE, vol. 3: IEEE, pp. 2437–2440, 2001.
Martin-Fernandez, M., E. Rodriguez, D. Tejada, C. Alberola-Lopez, and J. Ruiz-Alzola, "Energy functions for the segmentation of ultrasound volume data using active rays", Acoustics, Speech, and Signal Processing, 2000. ICASSP'00. Proceedings. 2000 IEEE International Conference on, vol. 6: IEEE, pp. 2274–2277, 2000.
Martin-Fernandez, M., and C. Alberola-Lopez, "An approach for contour detection of human kidneys from ultrasound images using Markov random fields and active contours", Medical Image Analysis, vol. 9, no. 1: Elsevier, pp. 1–23, 2005.
Martin-Fernandez, M. Angel, C. Alberola-Lopez, and J. Ruiz-Alzola, "A novel error criterion for multiresolution volume data compression", [Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint, vol. 2: IEEE, pp. 1159–vol, 1999.
Martin-Fernandez, M., L. Cordero-Grande, E. Muñoz-Moreno, and C. Alberola-Lopez, "Techniques in the contour detection of kidneys and their applications", World Scientific Publishing Company, pp. 381–398, 2007.
Martin-Fernandez, M., C. Alberola-Lopez, J. Ruiz-Alzola, and C-F. Westin, "Regularization of Diffusion Tensor Maps Using a Non-Gaussian Markov Random Field Approach", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, pp. 92–100, 2003.
Martin-Fernandez, M., E. Muñoz-Moreno, and C. Alberola-Lopez, "A Speckle Removal Filter Based on Anisotropic Wiener Filtering and the Rice Distribution", Ultrasonics Symposium, 2006. IEEE: IEEE, pp. 1694–1697, 2006.
Martin-Fernandez, M., R. Cárdenes-Almeida, and C. Alberola-Lopez, "Parameter Estimation of the Homodyned K Distribution Based on Signal to Noise Ratio", Ultrasonics Symposium, 2007. IEEE: IEEE, pp. 158–161, 2007.
Martin-Fernandez, M., S. Bouix, L. Ungar, R. W. McCarley, and M. E. Shenton, "Two methods for validating brain tissue classifiers", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005: Springer Berlin Heidelberg, pp. 515–522, 2005.
Martin-Fernandez, M. Angel, M. Martin-Fernandez, and C. Alberola-Lopez, "A log-euclidean polyaffine registration for articulated structures in medical images", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009: Springer Berlin Heidelberg, pp. 156–164, 2009.