| Publicacion | Año |
|---|---|
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Suárez-Hernández, D., Santos-Arce, S. R., Torres-Ramos, S., Salido-Ruiz, R. A., & Román-Godínez, I. (2024, November). Amyotrophic Lateral Sclerosis Detection Using Facial Symmetry Analysis with Machine Learning Techniques. In Congreso Nacional de Ingeniería Biomédica (pp. 239-248). Cham: Springer Nature Switzerland. |
November, 2024 |
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Razo-Guevara, D. F., Román-Godínez, I., Salido-Ruiz, R. A., Alfaro-Cortés, H. H., Santos Arce, S. R., & Torres-Ramos, S. (2024, November). Assessing Changes in Brain Activity Through Microstate Analysis in Serious Video Game Training. In Congreso Nacional de Ingeniería Biomédica (pp. 249-258). Cham: Springer Nature Switzerland. |
November, 2024 |
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López-Arámburo, M. F., Santos-Arce, S. R., Hernández-Vázquez, N., Salido-Ruiz, R. A., Torres-Ramos, S., & Román-Godínez, I. (2024, November). Statistical and Texture Features to Characterize DILD Radiological Findings. In Congreso Nacional de Ingeniería Biomédica (pp. 229-237). Cham: Springer Nature Switzerland. |
November, 2024 |
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Hernández-Vázquez, N., Santos-Arce, S. R., Hernández-Gordillo, D., Salido-Ruiz, R. A., Torres-Ramos, S., & Román-Godínez, I. (2023, October). Towards Fibrotic Tissue Automatic Estimation in Computer Tomography Interstitial Lung Disease. In 2023 IEEE EMBS R9 Conference (pp. 1-1). IEEE. |
October, 2023 |
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Hernández-Vázquez, N., Santos-Arce, S. R., Salido-Ruiz, R. A., Torres-Ramos, S., & Román-Godínez, I. (2023, October). Automatic Cluster Selection in K-Means Lung Segmentation. In Congreso Nacional de Ingeniería Biomédica (pp. 155-163). Cham: Springer Nature Switzerland. |
October, 2023 |
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Shkvarko, Y. V., Lopez, J. A., Santos, S. R., & García-Torales, G. (2016, December). Intelligent neural computing-based way for multi-sensor imaging radar data fusion. In 2016 23rd International Conference on Pattern Recognition (ICPR) (pp. 757-762). IEEE. |
December, 2016 |
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Shkvarko, Y. V., Lopez, J. A., & Santos, S. R. (2016, December). Maximum entropy neural networks for feature enhanced imaging with collaborative microwave multi-sensor data fusion. In 2016 IEEE MTT-S Latin America Microwave Conference (LAMC) (pp. 1-3). IEEE. |
December, 2016 |
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Shkvarko, Y. V., Tuxpan, J., & Santos, S. R. (2013). ℓ2− ℓ1 Structured descriptive experiment design regularization based enhancement of fractional SAR imagery. Signal Processing, 93(12), 3553-3566. |
December, 2013 |
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Shkvarko, Y. V., Santos, S. R., & Tuxpan, J. (2013, March). Reconstruction of remote sensing imagery via fused multimode neural network computing. In CONIELECOMP 2013, 23rd International Conference on Electronics, Communications and Computing (pp. 244-248). IEEE. |
March, 2013 |
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Santos, S., Castañeda, R., & Yañez, I. (2012, June). Hopfield and pulse coupled neural networks aggregation for enhanced change detection in remote sensing imagery. In World Automation Congress 2012 (pp. 1-6). IEEE. |
June, 2012 |
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Shkvarko, Y. V., Tuxpan, J., & Santos, S. R. (2012, June). Reconstruction of multimode remote sensing imagery based on multilevel experiment design regularization. In World Automation Congress 2012 (pp. 1-6). IEEE. |
June, 2012 |
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Shkvarko, Y. V., Santos, S. R., & Tuxpan, J. (2012, April). Near real-time enhancement of fractional SAR imagery via adaptive maximum entropy neural network computing. In EUSAR 2012; 9th European Conference on Synthetic Aperture Radar (pp. 792-795). VDE. |
April, 2012 |
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Shkvarko, Y., Santos, S., & Tuxpan, J. (2011). Resolution-enhanced radar/SAR imaging: an experiment design framework combined with neural network-adapted variational analysis regularization. EURASIP Journal on Advances in Signal Processing, 2011, 1-11. |
October, 2011 |
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Shkvarko, Y., Tuxpan, J., Santos, S. R., & Castro, D. (2011, September). Bayesian dynamic experiment design regularization framework for high-resolution radar/SAR imaging. In 2011 12th International Radar Symposium (IRS) (pp. 359-364). IEEE. |
September, 2011 |
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Shkvarko, Y. V., Santos, S. R., Tuxpan, J., & Espadas, E. (2011, September). Modified Hopfield neural network computational technique for real-time fusion of multimode radar/SAR imagery. In 2011 12th International Radar Symposium (IRS) (pp. 385-390). IEEE. |
September, 2011 |
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Shkvarko, Y., Tuxpan, J., & Santos, S. (2011). Dynamic experiment design regularization approach to adaptive imaging with array radar/SAR sensor systems. Sensors, 11, 4483-4511. |
April, 2011 |
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Tuxpan-Vargas, J., & Santos-Arce, S. (2010, September). Fused variational analysis technique for high-resolution reconstruction of remote sensing imagery. In 2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control (pp. 351-356). IEEE. |
September, 2010 |
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Y. Shkvarko, J. Tuxpan and -. Santos. Near Real Time Enhancement of Fractional SAR Imagery Based on Robust Descriptive Experiment Design Regularization Framework. 8th European Conference on Synthetic Aperture Radar, Aachen, Germany, 2010, pp. 1-4. |
June, 2010 |
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Arce, S. R. S., & Vargas, J. T. (2009, September). Aggregated Regularization of Remote Sensing Image Restoration Using Deterministic and Statistic Techniques. In 2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA) (pp. 9-14). IEEE. |
September, 2009 |
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Vargas, J. T., & Arce, S. R. S. (2009, September). Enhanced Remote Sensing Imaging in Uncertain Environment Fusing Adaptive Least Squares and Variational Analysis Methods. In 2009 Electronics, Robotics and Automotive Mechanics Conference (CERMA) (pp. 21-26). IEEE. |
September, 2009 |