Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Cardiac MRI: state of the art
Cardiac MRI plays an important role in the evaluation of cardiovascular diseases (CVDs),
including ischemic heart disease, cardiomyopathy, valvular disease, congenital disease …
including ischemic heart disease, cardiomyopathy, valvular disease, congenital disease …
Deep learning in magnetic resonance image reconstruction
Magnetic resonance (MR) imaging visualises soft tissue contrast in exquisite detail without
harmful ionising radiation. In this work, we provide a state‐of‐the‐art review on the use of …
harmful ionising radiation. In this work, we provide a state‐of‐the‐art review on the use of …
Solving inverse problems with deep neural networks–robustness included?
In the past five years, deep learning methods have become state-of-the-art in solving various
inverse problems. Before such approaches can find application in safety-critical fields, a …
inverse problems. Before such approaches can find application in safety-critical fields, a …
Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy
To enable magnetic resonance imaging (MRI)-guided radiotherapy with real-time
adaptation, motion must be quickly estimated with low latency. The motion estimate is used …
adaptation, motion must be quickly estimated with low latency. The motion estimate is used …
Dual-domain cascade of U-nets for multi-channel magnetic resonance image reconstruction
The U-net is a deep-learning network model that has been used to solve a number of
inverse problems. In this work, the concatenation of two-element U-nets, termed the W-net …
inverse problems. In this work, the concatenation of two-element U-nets, termed the W-net …
A hybrid frequency-domain/image-domain deep network for magnetic resonance image reconstruction
Decreasing magnetic resonance (MR) image acquisition times can potentially make MR
examinations more accessible. Compressed sensing (CS)-based image reconstruction …
examinations more accessible. Compressed sensing (CS)-based image reconstruction …
MR‐zero meets RARE MRI: Joint optimization of refocusing flip angles and neural networks to minimize T2‐induced blurring in spin echo sequences
HN Dang, J Endres, S Weinmüller… - Magnetic …, 2023 - Wiley Online Library
Purpose An end‐to‐end differentiable 2D Bloch simulation is used to reduce T2 induced
blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused …
blurring in single‐shot turbo spin echo sequences, also called rapid imaging with refocused …
Pyramid convolutional RNN for MRI image reconstruction
Fast and accurate MRI image reconstruction from undersampled data is crucial in clinical
practice. Deep learning based reconstruction methods have shown promising advances in …
practice. Deep learning based reconstruction methods have shown promising advances in …
Multi-coil MRI reconstruction challenge—assessing brain MRI reconstruction models and their generalizability to varying coil configurations
Deep-learning-based brain magnetic resonance imaging (MRI) reconstruction methods
have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific …
have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific …
Primer and historical review on rapid cardiac CINE MRI
Acceleration is an important consideration when imaging moving organs such as the heart.
Not only does acceleration enable motion‐free scans but, more importantly, it lies at the …
Not only does acceleration enable motion‐free scans but, more importantly, it lies at the …