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felenitaribeiro/README.md

Hi there 👋

I’m working on making segmentation models more robust for medical image analysis. But my interests are vast 😃. So here, you will find a couple of repos for retinotopic mapping with geometric deep learning and studies of individual variability of human fMRI data.

Fernanda's GitHub stats

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  1. deepRetinotopy_TheToolbox deepRetinotopy_TheToolbox Public

    General toolbox for predicting human retinotopic maps using deepRetinotopy.

    Python 4

  2. VariabilityEarlyVisualCortex VariabilityEarlyVisualCortex Public

    Code for investigating the variability of retinotopic maps in human early extrastriate cortex

    Jupyter Notebook 2

  3. Puckett-Lab/explainability_CorticalSurfaceGDL Puckett-Lab/explainability_CorticalSurfaceGDL Public

    Perturbation-based approach for explainability of surface-based deep learning

    Python 3 3

  4. Puckett-Lab/deepRetinotopy Puckett-Lab/deepRetinotopy Public

    Code for predicting retinotopy from anatomy using geometric deep learning. See paper for more --> https://www.sciencedirect.com/science/article/pii/S1053811921008971

    Roff 8

  5. TwinID_with_connectome_fingerprinting TwinID_with_connectome_fingerprinting Public

    Connectome fingerprinting with Python

    Python 3

  6. frcsantos/Heritability_FunctionalNetworks frcsantos/Heritability_FunctionalNetworks Public

    R 2