MIDRC will once again be present at the annual meeting of the RSNA in Chicago! We will have a booth in the Lakeside Learning Center as well as MIDRC-specific presentations and hands-on workshops.
MIDRC presentations and workshops
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Location: Deep Learning Lab, Lakeside Center
In Person Session Only. Tickets ($100,-) must be purchased in advance for this course. This course can be added through the registration portal or by stopping by the Registration Desk. Space is limited.
Learning objectives: 1) Understand the genesis and development of the Medical Imaging and Data Resource Center (MIDRC). 2) Experience how to build your own data cohort for AI research using the MIDRC publication platform - Gen3. 3) Explore additional MIDRC resources.
Course Description: The Medical Imaging Data and Resource Center (MIDRC) provides a model for collecting and publishing data to support research that can be applied across all areas of medical imaging. This session will give an overview of the structure of the MIDRC data commons, provide a tour of the open access data portal published on the Gen3 platform and discuss interoperability with other data commons including indexing with other imaging data commons. During this session, attendees will have the opportunity to experience how to build a selected data cohort direct from the MIDRC data commons for AI research.
Maryellen Giger - Introduction
Chris Meyer - Using the MIDRC user portal for cohort building and downloading data
Karen Drukker and Jordan Fuhrman – MIDRC resources (metric tree, bias tool, stratified sampling, and GitHub)
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Location: Deep Learning Lab Lakeside Center
In Person Session Only. Tickets ($100,-) must be purchased in advance for this course. This course can be added through the registration portal or by stopping by the Registration Desk. Space is limited.
Learning objectives: 1) Understand the genesis and development of the Medical Imaging and Data Resource Center (MIDRC). 2) Understand the tools and processes to contribute data. 3) Appreciate how an imaging based data commons that links to clinical metadata can accelerate machine learning research.
Course Description: The Medical Imaging Data and Resource Center (MIDRC) provides a model for collecting and publishing data to support research that can be applied across all areas of medical imaging. This session will give an overview of the structure of the MIDRC data commons and the data contribution process.
Adam Flanders - Introduction
Adam Flanders and George Shih – Contributing Data and Annotations
Heather Whitney and Rob Tomek - Diversity Calculator Paul Kinahan and
John Boone – Harmonization of data with LOINC mapping
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Tuesday, December 3, 4:30-5:30pm
Location: N226
Learning Objectives: 1) Understand MIDRC’s mission to support medical imaging research using the Gen3 platform. 2) Review MIDRC’s tools and resources for AI/ML development. 3) Explore future expansions of MIDRC into cancer and other diseases.
Course Description: The Medical Imaging and Data Resource Center (MIDRC) is a collaborative initiative, funded by NIBIB and ARPA-H, and hosted at the University of Chicago on the Gen3 platform. Led by the American College of Radiology® (ACR®), the Radiological Society of North America (RSNA), and the American Association of Physicists in Medicine (AAPM), MIDRC aims to advance medical imaging research by creating an AI-ready data commons. Initially focused on COVID-19, MIDRC now supports research for diseases like cancer through ethical data collection, standardization, and privacy protection. This session will cover MIDRC’s progress, its tools for AI/ML research, and its continued expansion into other disease areas.
Maryellen Giger, Role of MIDRC Within the ARPA-H Structure
Heather Whitney, MIDRC's Diversity Calculator
Robert Tomek, MIDRC's Diversity Calculator
Adam Flanders, Harnessing the Power of Radiologists for the Advancement of AI Through MIDRC
George Shih, Harnessing the Power of Radiologists for the Advancement of AI Through MIDRC
Adam Flanders, Role of MIDRC in the Cancer Imaging Research Community
Chris Meyer, Role of MIDRC Within the ARPA-H Structure
Adam Flanders, Moderator
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Wednesday, December 4, 4:00-5pm
Location: Innovation Theater
Course description: This presentation will provide an overview and update on the Medical Imaging and Data Resource Center (MIDRC), a collaborative initiative led by the ACR®, RSNA, and AAPM, hosted on the Gen3 platform. Funded by the NIBIB and ARPA-H and hosted at the University of Chicago, MIDRC aims to revolutionize medical imaging research by collecting, analyzing, and sharing medical imaging data to improve healthcare outcomes. The session will cover MIDRC’s creation of an ethically sourced imaging commons supporting AI development, biomedical research, and aids in patient care and public health. It will also detail how MIDRC’s infrastructure aids both new and experienced researchers in tackling public health challenges beyond COVID-19 and diseases like cancer. For more information, visit www.MIDRC.org.
Maryellen Giger - Welcome
Adam Flanders - Annotations
Paul Kinahan - Harmonization
Mike Tilkin - User Portal
Curt Langlotz - Closing