Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Magnetic Resonance in Medicine2020Vol. 84(6), pp. 3054–3070
Citations Over TimeTop 1% of 2020 papers
Florian Knöll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Žbontar, Michael Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht
Abstract
The challenge led to new developments in machine learning for image reconstruction, provided insight into the current state of the art in the field, and highlighted remaining hurdles for clinical adoption.
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