“Data Science in Imaging”

Hosted by the Mallinckrodt Institute of Radiology (MIR)

12:15p Keynote Talk

• Janet Eary (National Institutes of Health/National Cancer Institute) – “Data Science in Imaging”

1:15p  Supporting Lecturers

• Daniel Marcus (WashU Radiology) – “Imaging Informatics for AI”
• Mark Anastasio (University of Illinois, Urbana-Champaign) – “Deep Learning-Enabled Theoretical Image Science for Task-Based Image Quality Assessment”
• Brent Mombourquette (Whitera3:30bbit.ai) – “Deep Learning and Screening Mammography”
• Akash Kansagra (WashU Radiology) – “Digital Tools and Trials: Computing the Path to Improved Radiology Practice and Clinical Care”

3:30p  Poster Session – Presented from all divisions of the MIR, illustrating a full range of imaging research

Registration is required. RSVP to karcherm@wustl.edu