PhD student, bioinformatics, deep learning and machine learning.
Granada (Spain)
carrilloperezfrancisco@gmail.com
pacocp pacocp9 franciscocpCastillo-Secilla, D., Gálvez, J. M., Carrillo-Perez, F., Verona-Almeida, M., Redondo-Sánchez, D., Ortuno, F. M., ... & Rojas, I. (2021). KnowSeq R-Bioc Package: The Automatic Smart Gene Expression Tool For Retrieving Relevant Biological Knowledge. Computers in Biology and Medicine, 104387.
Juliana A. Medeiros, Oscar E. Pecho, María M. Pérez, Francisco Carrillo-Pérez, Luis Javier Herrera, Alvaro Della Bona (2021). INFLUENCE OF BACKGROUND COLOR ON COLOR PERCEPTION IN DENTISTRY. Journal of Dentistry., https://doi.org/10.1016/j.jdent.2021.103640.
Carrillo-Perez, F., Herrera, L. J., Carceller, J. M., & Guillén, A. (2021). Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals. Neural Computing and Applications., 1-17, https://doi.org/10.1007/s00521-020-05679-9
Durand, L. B., Ruiz‐López, J., Perez, B. G., Ionescu, A. M., Carrillo‐Pérez, F., Ghinea, R., & Pérez, M. M. (2020). Color, lightness, chroma, hue, and translucency adjustment potential of resin composites using CIEDE2000 color difference formula. Journal of Esthetic and Restorative Dentistry., https://doi.org/10.1111/jerd.12689
[Paper]
Molina-Molina Alejandro, Ruiz-Malagón Emilio J., Carrillo-Pérez Francisco, Roche-Seruendo Luis E., Damas Miguel, Banos Oresti, García-Pinillos Felipe (2020). Validation of mDurance, A Wearable Surface Electromyography System for Muscle Activity Assessment Frontiers in Physiology . https://doi.org/10.3389/fphys.2020.606287
[Paper]
Pérez, M. M., Bona, A. D., Carrillo-Pérez, F., Dudea, D., Pecho, O. E., Herrera, L. J. (2020). Does background color influence visual thresholds? Journal of Dentistry, 103475. https://doi.org/10.1016/j.jdent.2020.103475
Herrera, L.J., Todero Peixoto, C.J., Baños, O., Carceller, J.M.,Carrillo, F., Guillén, A. Composition Classification of Ultra-High Energy Cosmic Rays. Entropy 2020, 22, 998
Maria M. Perez, Razvan Ghinea, Luis Javier Herrera,F. Carrillo, Ana M. Ionescu, Rade D. Paravina. Color difference thresholds for computer-simulated human Gingiva. Journal of Esthetic and Restorative Dentistry, 2018, vol. 30, no 2, p. E24-E30.
Morales J.C., Carrillo-Perez F. , Castillo-Secilla D., Rojas I., Herrera L.J. (2020) Enhancing Breast Cancer Classification via Information and Multi-model Integration. In: Rojas I., Valenzuela O., Rojas F., Herrera L., Ortuño F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2020. Lecture Notes in Computer Science, vol 12108. Springer, Cham
Carrillo-Perez, F., Herrera, L.J., Carceller, J.M., Guillén, A. Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by means of a Convolutional DNNs, International Work-Conference on Artificial Neural Networks, Gran Canaria, 2019
Carrillo-Perez, F., Guillén, A., Herrera, L.J. Convolutional neural networks for alzheimer disease classification from 2D brain MRI images, Journée Internationale sur les Radiations Electromagnétiques et leur Impact sur l’Environnement, Tétouan, 2018
Carrillo-Perez, F., Damas, M., Banos, O., Diaz-Reyes, I., Soto-Hermoso, V.M., Molina-Molina, A. A novel automated algorithm for computing Lumbar Flexion Test ratios enhancing athletes objective assessment of Low Back Pain, 6th International Congress on Sport Sciences Research and Technology Support, Sevilla, 2018
Herrera Maldonado L.J., Carrillo Pérez F., Pérez Gómez M..M., Della Bona A. (2020) Future Developments Using Artificial Intelligence (AI) in Dentistry. In: Della Bona A. (eds) Color and Appearance in Dentistry. Springer, Cham
Francisco, Carrillo-Perez, Juan Carlos Morales, Daniel Castillo-Secilla, Luis Javier Herrera, Ignacio Rojas Transfer Learning for improving Breast Cancer WSI Image Classification, 4th European Conf on Translational Bioinformatics, Granada, 2019