Dr Fernanda Lenita Ribeiro
Dr

Fernanda Lenita Ribeiro

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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

Biomedical and Clinical Sciences Computational imaging Computer vision Computer vision and multimedia computation Information and Computing Sciences Neurosciences Sensory systems

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

  • Retinotopic Mapping of Human Visual Cortex with Geometric Deep Learning

Search Professor Fernanda Lenita Ribeiro’s works on UQ eSpace

7 works between 2019 and 2024
All (7) Journal Article (6) Conference Publication (1)

1 - 7 of 7 works

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

Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging

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

Variability of visual field maps in human early extrastriate cortex challenges the canonical model of organization of V2 and V3

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. SAN DIEGO: ML Research Press.

How fair is your graph? Exploring fairness concerns in neuroimaging studies

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

Predicting the retinotopic organization of human visual cortex from anatomy using geometric deep learning

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

Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach

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

Identifying individuals using fNIRS-based cortical connectomes

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

Dipeptidyl nitrile derivatives have cytostatic effects against Leishmania spp. promastigotes

Availability

Dr Fernanda Lenita Ribeiro is:
Available for supervision

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Supervision history

Current supervision

Enquiries

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