Postdoctoral Research Fellow
Overview
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.
Research Interests
- Retinotopic Mapping of Human Visual Cortex with Geometric Deep Learning
Qualifications
- Doctor of Philosophy of Neuroscience, The University of Queensland
- Masters (Research) of Neurosciences, Universidade Federal do ABC (UFABC)
- Bachelor of Biophysics, Universidade de São Paulo (USP)
Publications
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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
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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. ML Research Press.
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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
Supervision
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Improving vascular MRI with deep learning.
Doctor Philosophy
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Robust Deep learning for Quantitative Susceptibility Mapping
Doctor Philosophy
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Computational Medical Imaging
Doctor Philosophy
Publications
Journal Article
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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
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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
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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
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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
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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
Conference Publication
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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. ML Research Press.
PhD and MPhil Supervision
Current Supervision
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Improving vascular MRI with deep learning.
Doctor Philosophy — Associate Advisor
Other advisors:
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Robust Deep learning for Quantitative Susceptibility Mapping
Doctor Philosophy — Associate Advisor
Other advisors:
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Computational Medical Imaging
Doctor Philosophy — Associate Advisor
Other advisors:
