Search Results for author: Michael P. Recht

Found 4 papers, 3 papers with code

MRI Banding Removal via Adversarial Training

1 code implementation NeurIPS 2020 Aaron Defazio, Tullie Murrell, Michael P. Recht

MRI images reconstructed from sub-sampled Cartesian data using deep learning techniques often show a characteristic banding (sometimes described as streaking), which is particularly strong in low signal-to-noise regions of the reconstructed image.

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

1 code implementation6 Jan 2020 Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht

Conclusion: 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.

Image Reconstruction

Learning a Variational Network for Reconstruction of Accelerated MRI Data

no code implementations3 Apr 2017 Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll

Due to its high computational performance, i. e., reconstruction time of 193 ms on a single graphics card, and the omission of parameter tuning once the network is trained, this new approach to image reconstruction can easily be integrated into clinical workflow.

Image Reconstruction Learning Theory

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