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03/02/2023
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and Synthesis
This dissertation is devoted to provide advanced nonconvex nonsmooth var...
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04/08/2022
A Learnable Variational Model for Joint Multimodal MRI Reconstruction and Synthesis
Generating multi-contrasts/modal MRI of the same anatomy enriches diagno...
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10/02/2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset
Purpose: This work aims at developing a generalizable MRI reconstruction...
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09/20/2021
An Optimal Control Framework for Joint-channel Parallel MRI Reconstruction without Coil Sensitivities
Goal: This work aims at developing a novel calibration-free fast paralle...
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08/04/2020