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Achievement: StarstruckAchievement: Pull Shark

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cviviers/README.md

Hi 👋, I’m Chris Viviers.

I’m interested in building technology that can have lasting societal impact 🚀
Right now that is machine learning research and its application in the medical domain.

I'm currently persuing a PhD at the Technical University of Eindhoven in collaboration with Philips.
If you wish to collaborate or just want to chat, reach out to [email protected] or on twitter at @Chris_Viviers.

My portfolio site also has more information https://cviviers.github.io/

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  1. YOLOv5-6D-Pose YOLOv5-6D-Pose Public

    6-DoF Pose estimation based on the YOLOv5 framework. Specific focus on instruments in X-ray applications

    Python 66 6

  2. cviviers.github.io cviviers.github.io Public

    I try to keep this up to date with recent publications and things I'm working on

    HTML

  3. prob_3D_segmentation prob_3D_segmentation Public

    Implementation for probabilistic 2D and 3D segmentation for uncertainty quantification

    Jupyter Notebook 11

  4. 3D_UNetSecondaryFeatures 3D_UNetSecondaryFeatures Public

    Resources shared as part of the paper - Improved Pancreatic Tumor Detection by Utilizing Clinically-Relevant Secondary Features

    Jupyter Notebook 2

  5. pytorch/pytorch pytorch/pytorch Public

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    Python 86.5k 23.3k

  6. CovariateFlow CovariateFlow Public

    Implementation of CovariateFlow, a method for detection OOD covariate shift using conditional normalizing flows and modelling the hetroscedastic high-frequency image components

    Python 2