AIMC Topic:
Magnetic Resonance Imaging

Clear Filters Showing 1551 to 1560 of 6071 articles

A quantitative evaluation of the deep learning model of segmentation and measurement of cervical spine MRI in healthy adults.

Journal of applied clinical medical physics Jan 25, 2024
PURPOSE: To evaluate the 3D U-Net model for automatic segmentation and measurement of cervical spine structures using magnetic resonance (MR) images of healthy adults.
Magnetic Resonance Imaging Retrospective Studies Cervical Vertebrae Adult Humans Spinal Cord Deep Learning
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Noninvasive Assessment of Kidney Injury by Combining Structure and Function Using Artificial Intelligence-Based Manganese-Enhanced Magnetic Resonance Imaging.

ACS applied materials & interfaces Jan 25, 2024
Contrast-enhanced magnetic resonance imaging (MRI) is seriously limited in kidney injury detection due to the nephrotoxicity of clinically used gadolinium-based contrast agents. Herein, we propose a noninvasive method for the assessment of kidney inj...
Animals Mice Contrast Media Magnetic Resonance Imaging Kidney Artificial Intelligence Manganese
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Generation of tissues outside the field of view (FOV) of radiation therapy simulation imaging based on machine learning and patient body outline (PBO).

Radiation oncology (London, England) Jan 25, 2024
BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT simulation images. A typical mitigation is to avoid beams entering the missing body parts at the cost of sub-optimal planning.
Magnetic Resonance Imaging Radiometry Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Humans Machine Learning
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Added value of dynamic contrast-enhanced MR imaging in deep learning-based prediction of local recurrence in grade 4 adult-type diffuse gliomas patients.

Scientific reports Jan 25, 2024
Local recurrences in patients with grade 4 adult-type diffuse gliomas mostly occur within residual non-enhancing T2 hyperintensity areas after surgical resection. Unfortunately, it is challenging to distinguish non-enhancing tumors from edema in the ...
Glioblastoma Contrast Media Magnetic Resonance Imaging Brain Neoplasms Humans Deep Learning Adult Glioma
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A Systematic Review and Identification of the Challenges of Deep Learning Techniques for Undersampled Magnetic Resonance Image Reconstruction.

Sensors (Basel, Switzerland) Jan 24, 2024
Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI reconstruction is essential for ensuring accurate diagnosis, supporting clin...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Humans Deep Learning Neural Networks, Computer
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Decoding Single and Paired Phonemes Using 7T Functional MRI.

Brain topography Jan 23, 2024
Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speec...
Phonetics Sensorimotor Cortex Speech Support Vector Machine Adult Brain Mapping Male Brain-Computer Interfaces Female Magnetic Resonance Imaging Young Adult Humans Brain
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Hematoma expansion prediction: still navigating the intersection of deep learning and radiomics.

European radiology Jan 22, 2024
Humans Tomography, X-Ray Computed Radiomics Hematoma Deep Learning Magnetic Resonance Imaging
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Rule-based deep learning method for prognosis of neonatal hypoxic-ischemic encephalopathy by using susceptibility weighted image analysis.

Magma (New York, N.Y.) Jan 22, 2024
OBJECTIVE: Susceptibility weighted imaging (SWI) of neonatal hypoxic-ischemic brain injury can provide assistance in the prognosis of neonatal hypoxic-ischemic encephalopathy (HIE). We propose a convolutional neural network model to classify SWI imag...
Humans Brain Magnetic Resonance Imaging Datasets as Topic Deep Learning Hypoxia-Ischemia, Brain Child, Preschool Prognosis Infant, Newborn
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Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning.

Journal of medical systems Jan 22, 2024
The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cannot be treated provides an impetus to look into novel technological solutions. To contribute to the resolution of this problem through multiple classif...
Magnetic Resonance Imaging Humans Neuroimaging Brain Autism Spectrum Disorder Deep Learning
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Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study.

Magnetic resonance in medicine Jan 21, 2024
PURPOSE: To mitigate inhomogeneity at 7T for multi-channel transmit arrays using unsupervised deep learning with convolutional neural networks (CNNs).
Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging Neural Networks, Computer Brain
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