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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., 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, C-F. Westin, and C. Alberola-Lopez, "A novel Gauss-Markov random field approach for regularization of diffusion tensor maps", Computer Aided Systems Theory-EUROCAST 2003: Springer Berlin Heidelberg, pp. 506–517, 2003.
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.
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.
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.
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-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-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-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, A. Amira, C. Luo, C. Grecos, and C. Alberola-Lopez, "A stochastic modelling framework for the reconstruction of cardiovascular signals", Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, vol. 36: IEEE, pp. 676-679, 2014.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "Stochastic Modeling of the PPG Signal: A Synthesis-by-Analysis Approach With Applications", Biomedical Engineering, IEEE Transactions on, vol. 60, no. 9: IEEE, pp. 2432–2441, 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-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.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, G. Vegas-Sánchez-Ferrero, L. Cordero-Grande, J. Maria Andres-de-Llano, J R. Garmendia-Leiza, and J. Ardura-Fernández, "Characterization of activity epochs in actimetric registries for infantile colic diagnosis: Identification and feature extraction based on wavelets and symbolic dynamics", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, vol. 32: IEEE, pp. 2383-2386, 2010.
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., A. Domingues, P. Casaseca-de-la-Higuera, C. Alberola-Lopez, and M. J Sanches, "PPG Beat Reconstruction Based on Shape Models and Probabilistic Templates for Signals Acquired with Conventional Smartphones", Lecture Notes in Computer Science, vol. 9117: Springer International Publishing, pp. 595–602, 2015.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-Lopez, "Probabilistic modeling of the oxygen saturation pattern for the detection of anomalies during clinical interventions", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
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.
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.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martin-Fernandez, and C. Alberola-Lopez, "ECG Signal Reconstruction Based on Stochastic Joint-Modeling of the ECG and the PPG Signals", XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013: Springer International Publishing, pp. 989–992, 2013.
Martín-Martínez, D., P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-Lopez, "Reconstrucción de la Señal Respiratoria basada en Modelo Conjunto con la Señal de Período Cardíaco", XXX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB), San Sebastián, Spain, 2012.

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