Publications

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San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "Neural Network-Assisted Fiber Tracking of Synthetic and White Matter DT-MR Images.", World Congress on Engineering, pp. 618–623, 2007.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "Efficient tracking of MR tensor fields using a multilayer neural network", IAENG International Journal of Computer Science, vol. 35, no. 1, pp. 129–139, 2008.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "A GA-based Approach for Parameter Estimation in DT-MRI Tracking Algorithms", Proceedings of the World Congress on Engineering, vol. 1, 2008.
San-Jose-Revuelta, L. Miguel, M. Martin-Fernandez, and C. Alberola-Lopez, "A new method for fiber tractography in diffusion tensor magnetic resonance images", Proc. of the IEEE Int’l Conf. on Signal and Image Processing, ICSIP, vol. 6, pp. 380–385, 2006.
San Jose-Estepar, R., C. Alberola-Lopez, and J. Ruiz-Alzola, "Reshaping polygonal meshes with smoothed normals extracted from ultrasound volume data: An optimization approach", Medical Imaging 2001: International Society for Optics and Photonics, pp. 462–472, 2001.
San Jose-Estepar, R., M. Martin-Fernandez, C. Alberola-Lopez, J. Ellsmere, R. Kikinis, and C-F. Westin, "Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, 1973-, pp. 382–390, 2003.
San Jose-Estepar, R., M. Martin-Fernandez, P. P Caballero-Martínez, C. Alberola-Lopez, and J. Ruiz-Alzola, "A theoretical framework to three-dimensional ultrasound reconstruction from irregularly sampled data", Ultrasound in medicine & biology, vol. 29, no. 2: Elsevier, pp. 255–269, 2003.
San Jose-Estepar, R., M. Martin-Fernandez, C. Alberola-Lopez, J. Ellsmere, R. Kikinis, and C-F. Westin, "Freehand Ultrasound Reconstruction Based on ROI Prior Modeling and Normalized Convolution", Lecture Notes in Computer Science, vol. 2879: Berlin: Springer-Verlag, 1973-, pp. 382–390, 2003.
San Jose-Estepar, R., A. Rivera, M. Pinacho, C. Alberola-Lopez, and J. Ruiz-Alzola, "Kalman filter technique applied to surface reconstruction and visualization from noisy volume data", Medical Imaging 2000: International Society for Optics and Photonics, pp. 396–407, 2000.
Sanchez-Ferrero, G. V., and J. I. Arribas, "A statistical-genetic algorithm to select the most significant features in mammograms", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4673 LNCS, pp. 189-196, 2007.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "A new method based on computer vision for non-intrusive orange peel sorting", 2017 56th FITCE Congress: IEEE, 2017.
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, A blood orange computer vision sorting system, 2017.
Sabzi, S., Y. Abbaspour-Gilandeh, and J. I. Arribas, "Non-intrusive image processing Thompson orange grading methods", 2017 56th FITCE Congress: IEEE, 2017.
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., R. Pourdarbani, and J. I. Arribas, "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images", Computers, vol. 9, pp. 6, 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.

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