Publications

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2020
Algarin, J. M., E. Diaz-Caballero, J. Borreguero, F. Galve, D. Grau-Ruiz, J. P. Rigla, R. Bosch, J. M. Gonzalez, E. Pallas, M. Corberan, et al., "Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner", Scientific Reports, vol. 10, pp. 1–14, 2021, 2020.
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.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "Structural connectivity alterations in chronic and episodic migraine: A diffusion magnetic resonance imaging connectomics study", Cephalalgia, vol. 40, issue 4, pp. 367-383, 2020.
Treceño-Fernández, D., J. Calabia-del-Campo, M. L. Bote-Lorenzo, E. Gómez Sánchez, R. de Luis-García, and C. Alberola-Lopez, "A Web-Based Educational Magnetic Resonance Simulator: Design, Implementation and Testing", Journal of Medical Systems, vol. 44, pp. 9, 2020.
Dadashzadeh, M., Y. Abbaspour-Gilandeh, T. Mesri-Gundoshmian, S. Sabzi, J. Luis Hernández-Hernández, M. Hernández-Hernández, and J. I. Arribas, "Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields", Plants, vol. 9, pp. 559, 2020.
Dadashzadeh, M., Y. Abbaspour-Gilandeh, T. Mesri-Gundoshmian, S. Sabzi, J. Luis Hernández-Hernández, M. Hernández-Hernández, and J. I. Arribas, "Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields", Plants, vol. 9, pp. 559, 2020.
Planchuelo-Gómez, Á., D. García-Azorín, Á. L. Guerrero, S. Aja-Fernández, M. Rodríguez, and R. de Luis-García, "White matter changes in chronic and episodic migraine: a diffusion tensor imaging study", The Journal of Headache and Pain, vol. 21, issue 1, pp. 1, 2020.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "An automatic visible-range video weed detection, segmentation and classification prototype in potato field", Heliyon, vol. 6, pp. e03685, 2020.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "An automatic visible-range video weed detection, segmentation and classification prototype in potato field", Heliyon, vol. 6, pp. e03685, 2020.
Sabzi, S., H. Javadikia, and J. I. Arribas, "A three-variety automatic and non-intrusive computer vision system for the estimation of orange fruit pH value", Measurement, vol. 152, pp. 107298, 2020.
2019
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.
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.
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.
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Rabanillo-Viloria, I., A. Zhu, S. Aja-Fernández, C. Alberola-Lopez, and D. Hernando, "Computation of exact g-factor maps in 3D GRAPPA reconstructions", Magnetic resonance in medicine, vol. 81, pp. 1353–1367, 2019.
Hoyos-Barceló, C., J. Ramón Garmendia-Leiza, MD. Aguilar-Garcia, J. Monge-Álvarez, D. Asay Pérez-Alonso, C. Alberola-Lopez, and P. Casaseca-de-la-Higuera, "Evaluation in a real environment of a trainable cough monitoring app for smartphones", Mediterranean Conference on Medical and Biological Engineering and Computing: Springer, Cham, pp. 1175–1180, 2019.
Hoyos-Barceló, C., J. Ramón Garmendia-Leiza, MD. Aguilar-Garcia, J. Monge-Álvarez, D. Asay Pérez-Alonso, C. Alberola-Lopez, and P. Casaseca-de-la-Higuera, "Evaluation in a real environment of a trainable cough monitoring app for smartphones", Mediterranean Conference on Medical and Biological Engineering and Computing: Springer, Cham, pp. 1175–1180, 2019.
Simmross-Wattenberg, F., M. Rodríguez-Cayetano, J. Royuela-del-Val, E. Martín-González, E. Moya-Sáez, M. Martín-Fernández, and C. Alberola-Lopez, "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.
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.
Menchón-Lara, R-M., F. Simmross-Wattenberg, P. Casaseca-de-la-Higuera, M. Martín-Fernández, and C. Alberola-Lopez, "Reconstruction techniques for cardiac cine MRI", Insights into imaging, vol. 10, no. 1: Springer Berlin Heidelberg, pp. 100, 2019.
Peña-Nogales, Ó., Y. Zhang, R. de Luis-García, S. Aja-Fernández, J. H. Holmes, and D. Hernando, "Reduced Eddy Current induced image distortions and Peripheral Nerve Stimulation based on the Optimal Diffusion-weighting Gradient Waveform Design (ODGD) formulation", ISMRM 27th annual meeting, vol. 3488, 2019.
Aja-Fernández, S., A. Tristán-Vega, M. Molendowska, T. Pieciak, and R. Luis-García, "Return-to-Axis Probability Calculation from Single-Shell Acquisitions", Computational Diffusion MRI: Springer, pp. 29-41, 2019.
Merino-Caviedes, S., L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández, R. Deriche, and C. Alberola-Lopez, "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.

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