You can also visit the Google Schoolar profile of Fabián Segovia Here
- Martínez-Torres, D., Maldonado, V., Pérez-Gallardo, C. et al. Phenotypic characterization of liver tissue heterogeneity through a next-generation 3D single-cell atlas. Sci Rep 14, 2823 (2024). https://doi.org/10.1038/s41598-024-53309-4
- Bettancourt, N., Pérez-Gallardo, C., Candia, V., Guevara, P., Kalaidzidis, Y., Zerial, M., et al. Virtual tissue microstructure reconstruction across species using generative deep learning. PLoS ONE, 19(7):e030673. https://doi.org/10.1371/journal.pone.030673
- Bettancourt, N., Pérez, C., Candia, V., et al. Virtual tissue microstructure reconstruction across species using generative deep learning. bioRxiv 2023.06.12.544541; doi: https://doi.org/10.1101/2023.06.12.544541
- Espinoza, S., Arredondo, S.B., Barake, F. et al. Neuronal surface P antigen (NSPA) modulates postsynaptic NMDAR stability through ubiquitination of tyrosine phosphatase PTPMEG. BMC Biol 18, 164 (2020). https://doi.org/10.1186/s12915-020-00877-2
- Segovia-Miranda, F., Scholich, A., Syga, S., et al. (2021). Quantification of nematic cell polarity in three-dimensional tissues (vol 16, e1008412, & nbsp; 2020. PLOS COMPUTATIONAL BIOLOGY, 17(8).
- Segovia-Miranda, F., Morales-Navarrete, H., Kücken, M., et al. “Three-dimensional spatially resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression”. Nature Medicine. 25(12), 1885-1893.
- Morales-Navarrete, H., Scholich, A., Segovia-Miranda, F., et al. “Liquid crystal organization of liver tissue”. eLife. 17: 8. (*co-primeros autores).
- Morales-Navarrete, H., Segovia-Miranda, F., Zerial, M., and Kalaidzidis, Y., “Prediction of Multiple 3D Tissue Structures Based on Single-Marker Images Using Convolutional Neural Networks,” 2019 IEEE International Conference on Image Processing (ICIP), 2019, pp. 1361-1365, doi: 10.1109/ICIP.2019.8803057.
- Weigert, M., Schmidt, U., Boothe, T., Müller, A., et al,. “Content-Aware Image Restoration: Pushing the Limits of Fluorescence Microscopy”. Nature Methods. 15(12):1090-1097.
- Meyer, K., Ostrenko, O., Bourantas, G., et al. A Predictive 3D Multi-Scale Model of Biliary Fluid Dynamics in the Liver Lobule, Cell Systems, Volume 4, Issue 3, 2017, Pages 277-290.e9, ISSN 2405-4712, https://doi.org/10.1016/j.cels.2017.02.008.
- Morales-Navarrete H., Nonaka H., Segovia-Miranda F., et al., “Automatic recognition and characterization of different non-parenchymal cells in liver tissue,” 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016, pp. 536-540, doi: 10.1109/ISBI.2016.7493325.
- Morales-Navarrete, H., Segovia-Miranda, F., Klukowski, P., et al. (2015) A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture eLife 4:e11214 https://doi.org/10.7554/eLife.11214
- Segovia-Miranda, F., Ostrenko, O., Brosch, M., et al. (2015, October). Modeling biliary fluid dynamics reveals possible mechanism for dose-response and personalization of UDCA treatment in PSC. In HEPATOLOGY (Vol. 62, pp. 515A-516A). 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL.
- Bravo-Zehnder, M., Toledo, E.M., Segovia-Miranda, F., et al. (2015), Anti–Ribosomal P Protein Autoantibodies From Patients With Neuropsychiatric Lupus Impair Memory in Mice. Arthritis & Rheumatology, 67: 204-214. https://doi.org/10.1002/art.38900