Update: Watch a professionally captioned recording of this session. You can also watch the recording with audio descriptions.
Join us on Friday, August 11, for a discussion about how UW–Madison researchers are employing artificial intelligence to develop new and improved medical imaging methods and techniques.
New algorithmic approaches applying machine learning and deep learning are sweeping the medical imaging field. Learn from Professor Alan McMillan about how his Lab is using these techniques to improve the capability of medical imaging.
This is the 8th installment in our webinar series about AI. You can learn more about the series, catch up on past seminars, and see what we have planned next on our “Exploring Artificial Intelligence @ UW–Madison” page.
AI and Medical Imaging
- Date: Friday, Aug 11
- Time: 9:15am to 10am Central Time
- Location: Zoom
- Cost: Free
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This virtual event will be auto-captioned. Please email us if you need additional accommodations to participate. We will share a professionally captioned video recording and any presented materials and resources on this page the week after the webinar.
About the speaker
Alan B. McMillan
Alan McMillan, Ph.D., is a professor of clinical health sciences in the Department of Radiology in the School of Medicine and Public Health. He has affiliate appointments in the departments of Medical Physics, Electrical & Computer Engineering and Biomedical Engineering. He directs the Molecular Imaging/Magnetic Resonance Technology Lab, which focuses on integrating advanced modeling, data science and physics-based approaches to improve medical imaging, particularly in magnetic resonance imaging (MRI) and positron emission tomography. The lab works to develop, apply and evaluate artificial intelligence methods in medical imaging.
About the series
The “Exploring Artificial Intelligence @ UW–Madison” webinar series will run from June to September 2023, featuring webinars exploring a wide range of perspectives and topics relating to the rapidly advancing field of generative AI.
Sponsored by the university’s Division of Information Technology and Data Science Institute, the series aims to provide a platform for experts and visionaries in the field of AI to share their insights, research and experiences in the classroom, research lab and wider academic community.
By delving into topics such as AI ethics, cutting-edge machine learning algorithms, automation and human-machine collaboration, we hope to foster a deeper understanding of AI’s transformative potential and its implications for higher education.