Friday, November 14, 2025
Andrey Fedorov, Ph.D., will present "Imaging Data Commons and cancer image sharing in today's AI era" from 12:00 p.m.–1:00 p.m. EST.
About the Seminar
Rapid advances in Artificial Intelligence open exciting opportunities to do more with the existing and future imaging datasets. At the same time, they are intricately dependent on the availability and quality of the training data, while heavily relying on public data. In this talk I will discuss National Cancer Institute Imaging Data Commons (IDC), and the role it can play in both enabling breakthroughs in cancer imaging AI and leveraging the latest AI advances to empower its users. IDC is a cloud-based environment offering unrestricted access to a growing amount of harmonized cancer imaging data, primarily from various NCI data sharing initiatives.
Beyond image archival, IDC is enriching its datasets through secondary analyses, complementing images with AI-derived annotations and quantitative features. I will highlight the specific capabilities of IDC and the datasets it is hosting that can help make cancer imaging AI research more accessible, transparent and explainable. I will also present examples of utilizing IDC for investigating the capabilities of existing imaging AI tools and applying them to IDC data.
About the Speaker
Andrey Fedorov, Ph.D., is a researcher at Brigham and Women's Hospital (BWH) and Associate Professor in Radiology at Harvard Medical School. Andrey is one of the leads of the team tasked with building National Cancer Institute Imaging Data Commons (IDC). A computer scientist by training, Andrey spent the past 15 years at the BWH Surgical Planning Lab working on translation and evaluation of image computing tools in clinical research applications. He is dedicated to developing infrastructure and best practices to help imaging researchers improve transparency of their studies, simplify data sharing and make their analyses more easily accessible and reproducible by others.
About the Seminar Series
The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Allison Hurst at 301-670-4990. Requests should be made at least five days in advance of the event. The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight examples of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.