Computational MR Imaging in the AI Era
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Computational MR Imaging in the AI Era - A SIGNAL PROCESSING SOCIETY Distinguished Lecture
Magnetic Resonance Imaging (MRI) is undergoing a paradigm shift driven by advances in computational techniques and artificial intelligence. This talk will introduce the challenges and opportunities in the area of medical imaging. It will then explore the evolving landscape of computational MRI, where physics-based modeling, signal processing, and machine learning converge to accelerate acquisition, enhance image quality, and enable new diagnostic capabilities. It will start with supervised machine learning approaches, followed by new advances in generative artificial intelligence tools.
Date and Time
- Date: 03 Jun 2025
- Time: 07:00 PM EDT to 08:30 PM EDT
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Location
- This event is virtual - a link will be sent to registrants shortly before the start time.
Hosts
- Northern Virginia Section Chapter, SP 01
- Washington Section
- Washington Section Chapter,SP01
- Northern Virginia/Washington Jt Chapter, CIS11
- Baltimore Section Chapter,SP01
- Boston Section Chapter,SP01
- Boston Section
- Central Virginia Section
- Richmond Section
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Registration
- Starts 17 May 2025 10:59 AM EDT
- Ends 03 June 2025 06:00 PM EDT
- No Admission Charge
Speakers
Dr. Mathews Jacob is a professor in the Department of Electrical and Computer Engineering and is heading the Computational Biomedical Imaging Group (CBIG). His research interests include image reconstruction, image analysis, and quantification in the context of magnetic resonance imaging.
Agenda
7:00 PM - Welcome and Introductions
7:10 PM - Presentation Begins
8:10 PM - Q&A
8:30 PM - Finish
