Publications
You can also find my articles on my Google Scholar profile.
Published in Alzheimers & Dementia: Public Health, 2025
This study explores social isolation and perceived loneliness among older adults in post-pandemic Santiago, Chile, highlighting key mental health correlations.
Recommended citation: Gierke, C., Navarro, C. F., Martinez, M., Delgado, C., Delano Sr, P. H., Medel, V., ... & Farías, G. (2024). Public Health. Alzheimers & Dementia. 20, S7, e089300. https://doi.org/10.1002/alz.089300 https://doi.org/10.1002/alz.089300
Published in Cuadernos de Beauchef Chapter: 7(2), 2024
Crónica sobre placas con nombres antiguos en las calles de Santiago, rastreadas y documentadas durante más de una década.
Recommended citation: Navarro, C. F., & Larroucau, R. I. (2023). "Antiguas placas, antiguos nombres: Crónica de un intento de memoria en las calles de Santiago". Cuadernos de Beauchef, 7(2). https://revistasdex.uchile.cl/index.php/cdb/article/view/13432/13453
Published in Alzheimers & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM), 2024
This study links cochlear dysfunction to cognitive decline risk in older adults with normal or mild hearing loss, proposing otoacoustic emissions (DPOAEs) as a sensitive early biomarker.
Recommended citation: Medel, V., Delano, P.H., Belkhiria, C. et al. Cochlear dysfunction as an early biomarker of cognitive decline in normal hearing and mild hearing loss. Alzheimers & Dementia. 24, 16:e12467. https://doi.org/10.1002/dad2.12467 https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/dad2.12467
Published in BMC Bioinformatics, 2023
VolumePeeler is a FIJI plugin enabling virtual 3D “peeling” of image stacks using spherical and spline surface projections. It improves visualization and quantification of microscopy datasets with complex geometries.
Recommended citation: Gatica, M., Navarro, C.F., Lavado, A. et al. VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks. BMC Bioinformatics 24, 283 (2023). https://doi.org/10.1186/s12859-023-05403-z https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05403-z.pdf
Published in 2023 IEEE Conference on Artificial Intelligence (CAI), 2023
Novel approach for 3D nuclei segmentation in Drosophila using separate 3D U-net models for detection and segmentation. Ranked among the top three in the Cell Tracking Challenge for Light Sheet Microscopy data with a final score of 0.827.
Recommended citation: R. Rojas, C. F. Navarro, G. A. Orellana, C. G. Lemus C. and V. Castañeda, "3D Nuclei Segmentation through Deep Learning," 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 309-310, doi: 10.1109/CAI54212.2023.00137. . https://ieeexplore.ieee.org/abstract/document/10195067
Published in Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018, 2019
Design and construction of control, power, and telemetry systems for laboratory and field testing of a Bluetooth-based sensor system for slope stability.
Recommended citation: Widzyk-Capehart, E., Barberán, A., Briceño, M. J., Navarro, C., Nguyen, P. M. V., Opazo, C., & Steffen, S. (2019). Collocated ground deformation and pore pressure measurements in open pit mines: laboratory testing and analysis of wireless sensing platform. In Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection-MPES 2018 (pp. 381-391). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-99220-4_31
Published in Applied Sciences, 2019
This paper introduces a novel method for pattern classification, particularly relevant in image analysis applications requiring accurate classification of intricate patterns involving color and texture.
Recommended citation: Navarro, C. F., & Perez, C. A. (2019). Color–Texture Pattern Classification Using Global–Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing. Applied Sciences, 9(15), 3130. https://doi.org/10.3390/app9153130. https://www.mdpi.com/2076-3417/9/15/3130
Published in International Journal of Mineral Processing, 2015
This article introduces an innovative method for remote lithological classification in mining plants
Recommended citation: Perez, C. A., Saravia, J. A., Navarro, C. F., Schulz, D. A., Aravena, C. M., & Galdames, F. J. (2015). Rock lithological classification using multi-scale Gabor features from sub-images and voting with rock contour information. International Journal of Mineral Processing, 144, 56-64. https://doi.org/10.1016/j.minpro.2015.09.015 https://www.cec.uchile.cl/~canavarr/Posters/2015_Rock_Lithological.pdf
