AIMC Topic: Magnetic Resonance Imaging
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Unpaired MR Motion Artifact Deep Learning Using Outlier-Rejecting Bootstrap Aggregation.
IEEE transactions on medical imaging
Oct 27, 2021
Recently, deep learning approaches for MR motion artifact correction have been extensively studied. Although these approaches have shown high performance and lower computational complexity compared to classical methods, most of them require supervise...
Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.
La Radiologia medica
Oct 26, 2021
Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis for breast MRI, but ultrafast images, T2-weighted images, and diffusi...
Real-time 3D motion estimation from undersampled MRI using multi-resolution neural networks.
Medical physics
Oct 26, 2021
PURPOSE: To enable real-time adaptive magnetic resonance imaging-guided radiotherapy (MRIgRT) by obtaining time-resolved three-dimensional (3D) deformation vector fields (DVFs) with high spatiotemporal resolution and low latency ( ms). Theory and M...
Echo state network models for nonlinear Granger causality.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Oct 25, 2021
While Granger causality (GC) has been often employed in network neuroscience, most GC applications are based on linear multivariate autoregressive (MVAR) models. However, real-life systems like biological networks exhibit notable nonlinear behaviour,...
Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases.
Contrast media & molecular imaging
Oct 25, 2021
To explore the impact of magnetic resonance imaging (MRI) image features based on deep learning algorithms on the neurological rehabilitation of patients with cerebrovascular diseases, eighty patients with acute cerebrovascular disease were selected ...
A parallel attention-augmented bilinear network for early magnetic resonance imaging-based diagnosis of Alzheimer's disease.
Human brain mapping
Oct 22, 2021
Structural magnetic resonance imaging (sMRI) can capture the spatial patterns of brain atrophy in Alzheimer's disease (AD) and incipient dementia. Recently, many sMRI-based deep learning methods have been developed for AD diagnosis. Some of these met...
Deep Learning-Based Magnetic Resonance Imaging Features in Diagnosis of Perianal Abscess and Fistula Formation.
Contrast media & molecular imaging
Oct 22, 2021
There was an investigation of the diagnostic and prognostic effect of magnetic resonance imaging (MRI) based on multimodal feature fusion algorithm for impotence of perianal abscess. In this study, the second to fifth convolution blocks of the visual...
Causal decoding of individual cortical excitability states.
NeuroImage
Oct 21, 2021
Brain responsiveness to stimulation fluctuates with rapidly shifting cortical excitability state, as reflected by oscillations in the electroencephalogram (EEG). For example, the amplitude of motor-evoked potentials (MEPs) elicited by transcranial ma...
Editorial for "Deep Learning-Enabled Identification of Autoimmune Encephalitis on 3D Multi-Sequence MRI".
Journal of magnetic resonance imaging : JMRI
Oct 20, 2021
Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.
Magnetic resonance in medicine
Oct 20, 2021
PURPOSE: Clinical applicability of renal arterial spin labeling (ASL) MRI is hampered because of time consuming and observer dependent post-processing, including manual segmentation of the cortex to obtain cortical renal blood flow (RBF). Machine lea...
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