SLIM-MSU

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SLIM-MSU SLIM-MSU

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East Lansing, MI
https://slim-msu.github.io/

SLIM-MSU/README.md

👋 Hi, we are a team of researchers led by Dr. Saiprasad (Sai) Ravishankar in the Department of Computational Mathematics, Science and Engineering at Michigan State University.
🌱 We work on problems in imaging, image reconstruction, machine learning, signal processing, neuroscience, and optimization.
👀 SLIM focuses particularly on smart imaging systems with the development of models and machine learning methods & theory, forming a bedrock of some of the group’s efforts.
📫 Reach us at slim.msu@gmail.com
👇 Check out some of our work:
SMUG: Towards Robust MRI Reconstruction by Smoothed Unrolling, Paper at: https://ieeexplore.ieee.org/document/10097193 & https://arxiv.org/abs/2303.12735
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction, Paper at: https://ieeexplore.ieee.org/document/9468882 & https://arxiv.org/abs/2104.05028
Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI, Paper at: https://ieeexplore.ieee.org/document/9757874 & https://arxiv.org/abs/2111.09212
Sparse-view cone beam CT reconstruction using data-consistent supervised and adversarial learning from scarce training data, Paper at: https://ieeexplore.ieee.org/document/10008080 & https://arxiv.org/pdf/2201.09318

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