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felenitaribeiro/README.md

Hi there 👋

My work focuses on obtaining topographic maps of the human visual cortex from structural MRI data using deep learning. But my interests are vast 😃, and I'm always happy to collaborate on other projects that may involve developing a deep learning model or analysing topographic organisation.

You can find out more about my work here.

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  1. deepRetinotopy_TheToolbox deepRetinotopy_TheToolbox Public

    DeepRetinotopy - General toolbox for predicting human retinotopic maps

    Python 24 3

  2. KMarshallX/VesselBoost KMarshallX/VesselBoost Public

    Python-based software utilizing deep learning techniques to segment high-resolution time-of-flight MRI angiography data with high sensitivity towards small vessels

    Jupyter Notebook 30 6

  3. VariabilityEarlyVisualCortex VariabilityEarlyVisualCortex Public

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

    Jupyter Notebook 4

  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 11 2

  5. Puckett-Lab/explainability_CorticalSurfaceGDL Puckett-Lab/explainability_CorticalSurfaceGDL Public

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

    Python 3 4

  6. TwinID_with_connectome_fingerprinting TwinID_with_connectome_fingerprinting Public

    Connectome fingerprinting with Python

    Python 3