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@ieee8023

Joseph Paul Cohen

ieee8023

Joseph Paul Cohen is a Postdoctoral Fellow at Mila and the University of Montreal. Joseph is currently focusing on the limits of AI in medicine with respect to computer vision, genomics, and clinical data. He holds a PhD Degree in Computer Science and Machine Learning from the University of Massachusetts Boston. His research interests include healthcare, bioinformatics, machine learning, computer vision, ad-hoc networking, and cyber security. Joseph received a U.S. National Science Foundation Graduate Fellowship as well as an IVADO Postdoctoral Fellowship. Joseph is the director of the Institute for Reproducible Research which is dedicated to improving the process of scientific research using technology.

Featured work

  1. ieee8023/covid-chestxray-dataset

    We are building an open database of COVID-19 cases with chest X-ray or CT images.

    Jupyter Notebook 2,931
  2. ieee8023/NeuralNetwork-Examples

    The same small networks implemented in different frameworks

    Jupyter Notebook 69
  3. mlmed/torchxrayvision

    TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

    Jupyter Notebook 687
  4. mlmed/chester-xray

    Chester the AI Radiology Assistant

    JavaScript 136
  5. ieee8023/countception

    Count-Ception: Counting by Fully Convolutional Redundant Counting

    Jupyter Notebook 51
  6. ieee8023/blindtool

    BlindTool – A mobile app that gives a "sense of vision" to the blind with deep learning

    Java 10

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