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05/12/2021
20-fold Accelerated 7T fMRI Using Referenceless Self-Supervised Deep Learning Reconstruction
High spatial and temporal resolution across the whole brain is essential...
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05/10/2021
Improved Simultaneous Multi-Slice Functional MRI Using Self-supervised Deep Learning
Functional MRI (fMRI) is commonly used for interpreting neural activitie...
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01/05/2021
GRAPPA-GANs for Parallel MRI Reconstruction
k-space undersampling is a standard technique to accelerate MR image acq...
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08/13/2020
Multi-Mask Self-Supervised Learning for Physics-Guided Neural Networks in Highly Accelerated MRI
Purpose: To develop an improved self-supervised learning strategy that e...
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12/16/2019
Self-Supervised Learning of Physics-Based Reconstruction Neural Networks without Fully-Sampled Reference Data
Purpose: To develop a strategy for training a physics-driven MRI reconst...
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10/21/2019
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data
Deep learning (DL) has emerged as a tool for improving accelerated MRI r...
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09/14/2016
