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
An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - ar** for clinical research in the brain: a consensus of the ISMRM electro‐magnetic tissue properties …
QSM Consensus Organization … - Magnetic resonance …, 2024 - Wiley Online Library
This article provides recommendations for implementing QSM for clinical brain research. It is
a consensus of the International Society of Magnetic Resonance in Medicine, Electro …
a consensus of the International Society of Magnetic Resonance in Medicine, Electro …
Physics-driven deep learning for computational magnetic resonance imaging: Combining physics and machine learning for improved medical imaging
Physics-driven deep learning methods have emerged as a powerful tool for computational
magnetic resonance imaging (MRI) problems, pushing reconstruction performance to new …
magnetic resonance imaging (MRI) problems, pushing reconstruction performance to new …
[HTML][HTML] Neuroimaging of Parkinson's disease by quantitative susceptibility map**
Parkinson's disease (PD) is a common neurodegenerative disease, and apart from a few
rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has …
rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has …
Training data distribution significantly impacts the estimation of tissue microstructure with machine learning
Purpose Supervised machine learning (ML) provides a compelling alternative to traditional
model fitting for parameter map** in quantitative MRI. The aim of this work is to …
model fitting for parameter map** in quantitative MRI. The aim of this work is to …