Computer Vision Meetup: Machine Learning for Fast, Motion-Robust MRI

Magnetic resonance imaging (MRI) is a powerful imaging modality that enables detailed visualization of tissue content and structure. However, MRI suffers from long acquisition times and significant susceptibility to motion artifacts. This talk will explore deep learning approaches that incorporate imaging physics to produce high-quality MR images from highly accelerated and/or motion-corrupted data.

Nalini Singh is a Ph.D. student at the Harvard-MIT Program in Health Sciences and Technology, working in the Medical Vision Group at the MIT Computer Science and Artificial Intelligence Laboratory. Her primary research interests are in medical image reconstruction and analysis, signal processing, and inverse problems.

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Recorded on May 11, 2023 at the virtual Computer Vision Meetup.

#computervision #machinelearning #datascience #ai