
Overview
Background
I am a postdoc at the Computational Imaging Group, led by Steffen Bollmann. I recently finished my Ph.D. in Computational Imaging at UQ. Specifically, my Ph.D. work involved predicting the functional organization of the human visual cortex from underlying anatomy using geometric deep learning. To tackle this and other research questions, I am leveraging my interdisciplinary background in Biophysics (Bachelor's degree; University of Sao Paulo, Brazil), Neuroscience (Master's degree; Federal University of ABC, Brazil), and now the intersection of AI and imaging. I am interested in (geometric) deep learning, vision, neuroscience, and explainable and fair AI research.
Availability
- Dr Fernanda Lenita Ribeiro is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Biophysics, Universidade de São Paulo (USP)
- Masters (Research) of Neurosciences, Universidade Federal do ABC (UFABC)
- Doctor of Philosophy of Neuroscience, The University of Queensland
Research interests
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Retinotopic Mapping of Human Visual Cortex with Geometric Deep Learning
Works
Search Professor Fernanda Lenita Ribeiro’s works on UQ eSpace
2024
Journal Article
VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data
Xu, Marshall, Ribeiro, Fernanda L., Barth, Markus, Bernier, Michaël, Bollmann, Steffen, Chatterjee, Soumick, Cognolato, Francesco, Gulban, Omer F., Itkyal, Vaibhavi, Liu, Siyu, Mattern, Hendrik, Polimeni, Jonathan R., Shaw, Thomas B., Speck, Oliver and Bollmann, Saskia (2024). VesselBoost: a Python toolbox for small blood vessel segmentation in human magnetic resonance angiography data. Aperture Neuro, 4, 1-13. doi: 10.52294/001c.123217
2024
Journal Article
Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging
Renton, Angela I., Dao, Thuy T., Johnstone, Tom, Civier, Oren, Sullivan, Ryan P., White, David J., Lyons, Paris, Slade, Benjamin M., Abbott, David F., Amos, Toluwani J., Bollmann, Saskia, Botting, Andy, Campbell, Megan E. J., Chang, Jeryn, Close, Thomas G., Dörig, Monika, Eckstein, Korbinian, Egan, Gary F., Evas, Stefanie, Flandin, Guillaume, Garner, Kelly G., Garrido, Marta I., Ghosh, Satrajit S., Grignard, Martin, Halchenko, Yaroslav O., Hannan, Anthony J., Heinsfeld, Anibal S., Huber, Laurentius, Hughes, Matthew E. ... Bollmann, Steffen (2024). Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nature Methods, 21 (2), 804-808. doi: 10.1038/s41592-023-02145-x
2024
Journal Article
Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging
Renton, Angela I., Dao, Thuy T., Johnstone, Tom, Civier, Oren, Sullivan, Ryan P., White, David J., Lyons, Paris, Slade, Benjamin M., Abbott, David F., Amos, Toluwani J., Bollmann, Saskia, Botting, Andy, Campbell, Megan E. J., Chang, Jeryn, Close, Thomas G., Dörig, Monika, Eckstein, Korbinian, Egan, Gary F., Evas, Stefanie, Flandin, Guillaume, Garner, Kelly G., Garrido, Marta I., Ghosh, Satrajit S., Grignard, Martin, Halchenko, Yaroslav O., Hannan, Anthony J., Heinsfeld, Anibal S., Huber, Laurentius, Hughes, Matthew E. ... Bollmann, Steffen (2024). Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging. Nature Methods, 21 (5), 804-808. doi: 10.1038/s41592-023-02145-x
2023
Journal Article
Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3
Lenita Ribeiro, Fernanda, York, Ashley, Zavitz, Elizabeth, Bollmann, Steffen, Rosa, Marcello G.P. and Puckett, Alexander (2023). Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3. eLife e86439. doi: 10.7554/eLife.86439
2022
Conference Publication
How fair is your graph? Exploring fairness concerns in neuroimaging studies
Ribeiro, Fernanda, Shumovskaia, Valentina, Davies, Thomas and Ktena, Ira (2022). How fair is your graph? Exploring fairness concerns in neuroimaging studies. 7th Machine Learning for Healthcare Conference, Durham, NC United States, 5-6 August 2022. Cambridge, MA United States: ML Research Press.
2021
Journal Article
Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning
Ribeiro, Fernanda L., Bollmann, Steffen and Puckett, Alexander M. (2021). Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning. NeuroImage, 244 118624, 118624. doi: 10.1016/j.neuroimage.2021.118624
2021
Journal Article
Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach
Ribeiro, Fernanda L., dos Santos, Felipe R. C., Sato, João R., Pinaya, Walter H. L. and Biazoli, Claudinei E. (2021). Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach. Network Neuroscience, 5 (2), 527-548. doi: 10.1162/netn_a_00189
2019
Journal Article
Identifying individuals using fNIRS-based cortical connectomes
Rodrigues, Julia de Souza, Ribeiro, Fernanda Lenita, Sato, Joao Ricardo, Mesquita, Rickson Coelho and Biazoli Junior, Claudinei Eduardo (2019). Identifying individuals using fNIRS-based cortical connectomes. Biomedical Optics Express, 10 (6), 2889-2897. doi: 10.1364/BOE.10.002889
2019
Journal Article
Dipeptidyl nitrile derivatives have cytostatic effects against Leishmania spp. promastigotes
Quilles, José C., Tezuka, Daiane Y., Lopes, Carla D., Ribeiro, Fernanda L., Laughton, Charles A., de Albuquerque, Sérgio, Montanari, Carlos A. and Leitão, Andrei (2019). Dipeptidyl nitrile derivatives have cytostatic effects against Leishmania spp. promastigotes. Experimental Parasitology, 200, 84-91. doi: 10.1016/j.exppara.2019.04.001
Supervision
Availability
- Dr Fernanda Lenita Ribeiro is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Computational Medical Imaging
Associate Advisor
Other advisors: Mr Aswin Narayanan, Dr Steffen Bollmann
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Doctor Philosophy
Improving vascular MRI with deep learning.
Associate Advisor
Other advisors: Professor Markus Barth, Dr Saskia Bollmann
-
Doctor Philosophy
Robust Deep learning for Quantitative Susceptibility Mapping
Associate Advisor
Other advisors: Dr Steffen Bollmann
Media
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