The NCI Quantitative Imaging Network Annual Meeting
September 25, 2026 | 9:00 AM – 5:30 PM
NCI Shady Grove facility TE 110 Rockville, MD
The Quantitative Imaging Network (QIN) community held a full day exploring how quantitative imaging and artificial intelligence are reshaping precision oncology. This year's meeting brought together leading researchers, clinicians, and industry innovators to share the latest advances in imaging biomarkers, AI-driven segmentation, and the path from bench to bedside.
The day opened with a keynote from Dr. Maryellen Giger (University of Chicago) on the future of AI in image acquisition and reconstruction, followed by two sessions of oral presentations spotlighting scientific progress across QIN sites — from novel MRI techniques for multiple myeloma and lung cancer, to AI-assisted tumor segmentation and biomarker validation. Afternoon keynotes included an industry perspective from Callie Weiant (CEO, CaliberMRI) on standardizing quantitative MRI for clinical translation, and a clinician's perspective from Dr. Joseph Maldjian (UT Southwestern) drawing on decades of experience bringing neuroimaging innovations into practice.
Attendees also heard from this year's Young Investigator Awardee, Debosmita Biswas (University of Washington), and explored 19 posters covering cutting-edge work in radiomics, AI segmentation, PET/MR harmonization, and multi-site imaging biomarker validation. The day closed with an open panel discussion on the future direction of the QIN network.