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π 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.
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π± We work on problems in imaging, image reconstruction, machine learning, signal processing, neuroscience, and optimization.
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π SLIM focuses particularly on smart imaging systems with the development of models and machine learning methods & theory, forming a bedrock of some of the groupβs efforts.
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π« Reach us at [email protected]
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π Check out some of our work:
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SMUG: Towards Robust MRI Reconstruction by Smoothed Unrolling, Paper at: https://ieeexplore.ieee.org/document/10097193 & https://arxiv.org/abs/2303.12735
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Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction, Paper at: https://ieeexplore.ieee.org/document/9468882 & https://arxiv.org/abs/2104.05028
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Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI, Paper at: https://ieeexplore.ieee.org/document/9757874 & https://arxiv.org/abs/2111.09212
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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
slim-msu Goto Github PK
Name: SLIM-MSU
Type: User
Location: East Lansing, MI