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06/19/2023
PINQI: An End-to-End Physics-Informed Approach to Learned Quantitative MRI Reconstruction
Quantitative Magnetic Resonance Imaging (qMRI) enables the reproducible ...
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06/09/2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks
Sparsity-based methods have a long history in the field of signal proces...
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03/04/2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks
The concept of sparsity has been extensively applied for regularization ...
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02/01/2021
An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction
Purpose: Iterative Convolutional Neural Networks (CNNs) which resemble u...
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02/10/2020
Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI
In this work, we propose an iterative reconstruction scheme (ALONE - Ada...
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12/19/2019
Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging
In this paper we present a generalized Deep Learning-based approach to s...
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04/01/2019