Toledo-Cortés S., Dubis A.M., González F.A., Müller H. (2023). Deep Density Estimation for Cone Counting and Diagnosis of Genetic Eye Diseases From Adaptive Optics Scanning Light Ophthalmoscope Images. Translational Vision Science & Technology. ARVO. https://doi.org/10.1167/tvst.12.11.25
Toledo-Cortés, S., Lara, J.S., Zambrano, Á., Gonzalez, F.A., Rosero-García, J. (2023). Characterization of Electricity Demand Based on Energy Consumption Data from Colombia. International Journal of Electrical and Computer Engineering (IJECE), 13(5), 4798-4809. http://doi.org/10.11591/ijece.v13i5.pp4798-4809
Toledo-Cortés S., Useche D.H., Müller H., González F.A. (2022). Grading Diabetic Retinopathy and Prostate Cancer Diagnostic Images with Deep Quantum Ordinal Regression. Computers in Biology and Medicine. Elsevier. https://doi.org/10.1016/j.compbiomed.2022.105472
Github: https://github.com/stoledoc/DQOR
Gonzalez, F.A., Gallego, A., Toledo-Cortés, S., Vargas-Calderon, V. (2022). Learning with Density Matrices and Random Features. Quantum Mach. Intell. 4, 23. https://doi.org/10.1007/s42484-022-00079-9
Perdomo O.J., Toledo-Cortés S., Orjuela A., González F.A. (2021) What You Need to Know About Artificial Intelligence: Technical Introduction. In: Ichhpujani P., Thakur S. (eds) Artificial Intelligence and Ophthalmology. Current Practices in Ophthalmology. Springer, Singapore. https://doi.org/10.1007/978-981-16-0634-2_2
Toledo-Cortés, S., Useche, D.H., Gonzalez, F.A. (2021). Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression. arXiv:2103.03188
Perdomo-Charry, O., Pérez-Pérez, A., de-la-Pava-Rodríguez, M., Ríos-Calixto, H., Arias-Vanegas, V., Lara-Ramírez, J., Toledo-Cortés, S., Camargo-Mendoza, J., Rodríguez-Alvira, F., & González-Osorio, F. (2020). SOPHIA: System for Ophthalmic Image Acquisition, Transmission, and Intelligent Analysis. Revista Facultad De Ingeniería, 29(54), e11769. https://doi.org/10.19053/01211129.v29.n54.2020.11769
Toledo-Cortés S., de la Pava M., Perdomo O., González F.A. (2020) Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification. In: Fu H., Garvin M.K., MacGillivray T., Xu Y., Zheng Y. (eds) Ophthalmic Medical Image Analysis. OMIA 2020. Lecture Notes in Computer Science, vol 12069. Springer, Cham. https://doi.org/10.1007/978-3-030-63419-3_21
Toledo-Cortés S., Castellanos-Martinez I.Y., Gonzalez F.A. (2019) Large Scale Learning Techniques for Least Squares Support Vector Machines. In: Vera-Rodriguez R., Fierrez J., Morales A. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2018. Lecture Notes in Computer Science, vol 11401. Springer, Cham. https://doi.org/10.1007/978-3-030-13469-3_1