Professor Tal Arbel Addresses Plenary Sesson on Machine Learning in MRI


Published: 7Jun2019

Professor Tal Arbel of the Department of Electrical and Computer Engineering spoke to the plenary session at the International Society for Magnetic Resonance in Medicine Conference (ISMRM 2019).  Erik L. Ridley (AuntMinnie Staff writer) wrote that "In her talk ... Arbel shared her group's work in developing machine-learning techniques for medical image analysis of large clinical trial MRI datasets, specifically for patients with multiple sclerosis (MS)."

See the full article here.

Congratulations to Professor Arbel and her team for their leading-edge research in this field.

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