Publications

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Author Title Type [ Year(Desc)]
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1999
Alberola-Lopez, C., JR. Casar-Corredera, 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.
2005
Vaquero-González, L. M., D. Hernández-Leo, F. Simmross-Wattenberg, M. L. Bote-Lorenzo, J. Ignacio Asensio-Pérez, Y. A. Dimitriadis, E. Gómez-Sánchez, and G. Vega-Gorgojo, "The opportunity of grid services for CSCL-application development", Parallel, Distributed and Network-Based Processing, 2005. PDP 2005. 13th Euromicro Conference on, Lausanne, Switzerland, IEEE, 2005.
2007
Niethammer, M., S. Bouix, S. Aja-Fernández, C-F. Westin, and M. E. Shenton, "Outlier rejection for diffusion weighted imaging", Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: Springer Berlin Heidelberg, pp. 161–168, 2007.
2012
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.
2017
Peña-Nogales, Ó., R. de Luis-García, S. Aja-Fernández, Y. Zhang, J. H. Holmes, and D. Hernando, "Optimal design of motion-compensated diffusion gradient waveforms ", International Society of Magnetic Resonance in Medicine 25th Annual Meeting and Exhibition, Honolulu, HI, USA, pp. 3340, 2017.
2018
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Optimal Diffusion-weighting Gradient Waveform Design (ODGD): Formulation and Experimental Validation", International Society of Magnetic Resonance in Medicine 26th Annual Meeting and Exhibition, Paris, France, pp. 685, 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, 2018.
2019
Simmross-Wattenberg, F., M. Rodríguez-Cayetano, J. Royuela-del-Val, E. Martín-González, E. Moya-Sáez, M. Martín-Fernández, and C. Alberola-López, "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.
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.
2020
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.
2022
Segura-Méndez, B., Á. Planchuelo-Gómez, Á. Sierra, D. García-Azorín, E. Velasco-García, Á. Fuentes-Martín, C. Sánchez, V-A. I. de la Lastra, Á. L. Guerrero, and Y. Carrascal, "Objective measurement of pain related to cardiac surgery: a study using algometry", 8th Congress of the European Academy of Neurology, 2022.
2024
Planchuelo-Gómez, Á., M. Descoteaux, H. Larochelle, J. Hutter, D. K. Jones, and C. M. W. Tax, "Optimisation of quantitative brain diffusion-relaxation MRI acquisition protocols with physics-informed machine learning", Medical Image Analysis, vol. 94, pp. 103134, 2024.