ieee8023
Amazon, Butterfly Network, Stanford AIMI, Mila, Director: Institute for Reproducible Research, MLMed.org, AcademicTorrents.com, ShortScience.org
Funding Links: https://github.com/sponsors/ieee8023
- Name: Joseph Paul Cohen
- Kind: user
- Followers: 513
- Following: 61
- Total stars: 3567
- Repositories count: 74
- Created at: 2022-11-04T06:37:39.249Z
- Updated at: 2025-03-28T08:13:59.406Z
- Last synced at: 2025-03-28T08:13:59.406Z
GitHub Sponsors Profile
My goal is to democratize access to healthcare to provide the highest quality healthcare to everyone (specifically those not served by the current system; 8% in the US and 25% globally). Automation and AI can increase the supply of providers to fill this need. I am working to identify and overcome issues limiting the deployment of AI tools in healthcare. My core research directions are representation learning, generalization, and model interpretability.
- Current Sponsors: 0
- Past Sponsors: 0
- Total Sponsors: 0
- Minimum Sponsorship: $1.00
Featured Works
mlmed/torchxrayvision
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Language: Jupyter Notebook - Stars: 994ieee8023/blindtool
BlindTool – A mobile app that gives a "sense of vision" to the blind with deep learning
Language: Java - Stars: 13ieee8023/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Language: Jupyter Notebook - Stars: 3025ieee8023/NeuralNetwork-Examples
The same small networks implemented in different frameworks
Language: Jupyter Notebook - Stars: 70mlmed/chester-xray
Chester the AI Radiology Assistant
Language: JavaScript - Stars: 165ieee8023/countception
Count-Ception: Counting by Fully Convolutional Redundant Counting
Language: Jupyter Notebook - Stars: 51Active Sponsors
Past Sponsors
taskswithcode
Sponsor Breakdown
- User: 1