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Generative MRI

Robust MRI Using New Algorithms for Generative Machine Learning

Magnetic Resonance Imaging (MRI) is currently expensive and time consuming. Exam times can take upwards of 30 minutes to an hour. As a result, patient motion...

Research Project Details

Research Projects

  • Robust MRI Using New Algorithms for Generative Machine Learning

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  • Optimal Transport in Large-Scale Machine Learning Applications

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  • SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata

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  • Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop

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  • Fairness in Imaging with Deep Learning

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  • Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

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  • Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization

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Supported by the National Science Foundation

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