ePAD is a freely available quantitative imaging informatics platform, developed by the Rubin Lab at Stanford Medicine Radiology at Stanford University. Thanks to its plug-in architecture, ePAD can be used to support a wide range of imaging-based projects.
ePAD does not provide de-identification. You should de-identify the DICOM files before pushing/uploading tp ePAD. A free and publicly available software, Clinical Trials Processor (CTP), is provided by NIH. You can find download and usage information about CTP here
An overview of ePAD is provided in a recent paper, "Automated tracking of quantitative assessments of tumor burden in clinical trials"
Join our ePAD Users Group to exchange information about using and developing for the ePAD Platform.
Dr. Rubin spoke at the Big Data in BioMedicine Conference on May 22nd, 2014. Click on the link to the conference Big Data in BioMedicine for more details.
Read about ePAD on semanticWeb.com in the January 30th, 2014, post titled Stanford Researchers Develop Tool for Semantically Interpreting Medical Images.
ePAD is featured in Stanford Medicine's ScopeBlog in the January 28th, 2014, post titled Stanford Researchers Develop Tool for Semantically Interpreting Medical Images.
ePAD Beta was released December 11, 2013. You can . What's new? Check out the Release Notes.
You can download and install the latest version of ePAD or upgrade your exisiting VM by following the steps below:
Step 2: Please read the License Agreement.
Step 3: Please indicate the acceptance of these terms. (Optional: Sign up for future updates from the ePAD Team.)
Step 4: Download ePAD using the link provided, and follow the installation instructions available in our Installation Guide.
If you are upgrading from a previous version of ePAD, please review the Upgrade Instructions. There are custom installation options available, including downloading a virtual machine (VM) and building from the source repository.