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08/30/2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
In the field of parallel imaging (PI), alongside image-domain regulariza...
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08/05/2023
Dynamic Dual-Graph Fusion Convolutional Network For Alzheimer's Disease Diagnosis
In this paper, a dynamic dual-graph fusion convolutional network is prop...
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05/06/2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model
MRI and PET are crucial diagnostic tools for brain diseases, as they pro...
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05/04/2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-nois...
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04/11/2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Diffusion models are a leading method for image generation and have been...
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09/02/2022
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction
Recently, score-based diffusion models have shown satisfactory performan...
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08/11/2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Recently, untrained neural networks (UNNs) have shown satisfactory perfo...
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08/10/2022
High-Frequency Space Diffusion Models for Accelerated MRI
Denoising diffusion probabilistic models (DDPMs) have been shown to have...
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05/09/2022
PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging
Deep learning methods driven by the low-rank regularization have achieve...
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12/18/2021
Equilibrated Zeroth-Order Unrolled Deep Networks for Accelerated MRI
Recently, model-driven deep learning unrolls a certain iterative algorit...
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12/01/2021
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Purpose: To propose a novel deep learning-based method called RG-Net (re...
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04/13/2021
SRR-Net: A Super-Resolution-Involved Reconstruction Method for High Resolution MR Imaging
Improving the image resolution and acquisition speed of magnetic resonan...
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10/26/2020
Deep Low-rank plus Sparse Network for Dynamic MR Imaging
In dynamic MR imaging, L+S decomposition, or robust PCA equivalently, ha...
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06/22/2020
Deep Low-rank Prior in Dynamic MR Imaging
The deep learning methods have achieved attractive results in dynamic MR...
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12/20/2019
An Unsupervised Deep Learning Method for Parallel Cardiac MRI via Time-Interleaved Sampling
Deep learning has achieved good success in cardiac magnetic resonance im...
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06/19/2019