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Merino-Caviedes, S., L. Cordero-Grande, T. Sevilla-Ruiz, T. Pérez, M. Martin-Fernandez, and C. Alberola-Lopez, "Classification of delayed enhancement scar islands by means of their local subendocardial transmurality", Computing in Cardiology Conference (CinC), 2013: IEEE, 2013.
Merino-Caviedes, S., M. Teresa Pérez, and M. Martin-Fernandez, "Multiphase level set algorithm for coupled segmentation of multiple regions. Application to MRI segmentation", Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE: IEEE, pp. 5042–5045, 2010.
Merino-Caviedes, S., and M. Martin-Fernandez, "User Interfaces to Interact with Tensor Fields", Tensors in Image Processing and Computer Vision: Springer London, pp. 429–454, 2009.
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.
Merino-Caviedes, S., G. Vegas-Sánchez-Ferrero, T. M Pérez, S. Aja-Fernández, and M. Martin-Fernandez, "A variationally based weighted re-initialization method for geometric active contours", Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on: IEEE, pp. 908–911, 2010.
Merino-Caviedes, S., L. Cordero-Grande, T. M Pérez, and M. Martin-Fernandez, "Transmurality Maps in Late Enhancement Cardiac Magnetic Resonance Imaging by a New Radial Fast Marching Method", XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica, Cáceres, Spain, pp. 211–214, 2011.
Merino-Caviedes, S., and M. Martin-Fernandez, "A general interpolation method for symmetric second-rank tensors in two dimensions", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on: IEEE, pp. 931–934, 2008.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, and C. Alberola-López, "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model", IEEE Transactions on Image Processing, vol. 28, issue 4, pp. 1967–1979, 04/2019.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Cardiovascular risk factors in the circadian rhythm of acute myocardial infarction", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
Messa, J. B. López, JR. Garmendia-Leiza, M. D. Aguilar García, J. María And De Llano, C. Alberola López, and J. Ardura Fernández, "Factores de riesgo cardiovascular en el ritmo circadiano del infarto agudo de miocardio", Revista Española de Cardiología (English Edition), vol. 57, no. 9: Elsevier, pp. 850–858, 2004.
Mi, Y., C. Luo, G. Min, P. Casaseca-de-la-Higuera, and Z. Wang, "Towards Optimal Power Splitting in Simultaneous Power and Information Transmission", 2018 IEEE Global Communications Conference (GLOBECOM): IEEE, pp. 1–6, 2018.
Molina, V., A. Bachiller, R. de Luis-García, A. Lubeiro, J. Poza, R. Hornero, J. Francesc Alonso, M. Angel Mañanas, P. Marqués, and S. Romero, "Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity", European Archives of Psychiatry and Clinical Neuroscience, Feb, 2018.
Monge-Alvarez, J., C. Hoyos-Barceló, P. Lesso, J. Escudero, K. Dahal, and P. Casaseca-de-la-Higuera, "Effect of importance sampling on robust segmentation of audio-cough events in noisy environments", Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual International Conference of the: IEEE, 2016.
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.
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.
Monge-Álvarez, J., C. Hoyos-Barceló, P. Lesso, and P. Casaseca-de-la-Higuera, "Robust detection of audio-cough events using local Hu moments", IEEE journal of biomedical and health informatics, vol. 23, pp. 184–196, 2019.
Moya-Sáez, E., Ó. Peña-Nogales, R. de Luis-García, and C. Alberola-López, "A deep learning approach for synthetic MRI based on two routine sequences and training with synthetic data", Computer Methods and Programs in Biomedicine, vol. 210, pp. 106371, 2021.
Moya-Sáez, E., R. Navarro-González, S. Cepeda, Á. Pérez-Núñez, R. de Luis-Garcia, S. Aja-Fernández, and C. Alberola-López, "Synthetic MRI improves radiomics-based glioblastoma survival prediction", NMR in Biomedicine, 2022.
Moya-Sáez, E., R. de Luis-García, and C. Alberola-López, "Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI", Frontiers in Neuroimaging, vol. 2, 2023.
Muñoz-Moreno, E., and M. Martin-Fernandez, "Characterization of the similarity between diffusion tensors for image registration", Computers in biology and medicine, vol. 39, no. 3: Pergamon, pp. 251–265, 2009.
Muñoz-Moreno, E., R. Cárdenes-Almeida, and M. Martin-Fernandez, "Review of techniques for registration of diffusion tensor imaging", Tensors in Image Processing and Computer Vision: Springer London, pp. 273–297, 2009.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "A methodology for quality assessment in tensor images", Computer Vision and Pattern Recognition Workshops, 2008. CVPRW'08. IEEE Computer Society Conference on: IEEE, pp. 1–6, 2008.
Muñoz-Moreno, E., S. Aja-Fernández, and M. Martin-Fernandez, "Quality Assessment of Tensor Images", Tensors in Image Processing and Computer Vision: Springer London, pp. 79–103, 2009.
Muñoz-Moreno, E., R. Cárdenes-Almeida, R. de Luis-García, M. Angel Martin-Fernandez, and C. Alberola-Lopez, "Image registration based on automatic detection of anatomical landmarks for bone age assessment", WSEAS Transactions on Computers, vol. 4, no. 11, pp. 1596–1603, 2005.

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