AIMC Topic: Magnetic Resonance Imaging
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Deep learning resting state functional magnetic resonance imaging lateralization of temporal lobe epilepsy.
Epilepsia
Apr 1, 2022
OBJECTIVE: Localization of focal epilepsy is critical for surgical treatment of refractory seizures. There remains a great need for noninvasive techniques to localize seizures for surgical decision-making. We investigate the use of deep learning usin...
Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep-Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative.
Arthritis care & research
Apr 1, 2022
OBJECTIVE: To study the longitudinal performance of fully automated cartilage segmentation in knees with radiographic osteoarthritis (OA), we evaluated the sensitivity to change in progressor knees from the Foundation for the National Institutes of H...
Multiple sclerosis cortical lesion detection with deep learning at ultra-high-field MRI.
NMR in biomedicine
Mar 31, 2022
Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and past studies have shown only moderate inter-rater reliability. To accelerate this task, we developed a deep-learning-based framework (CLAIMS: Cortical...
Deep learning for locally advanced nasopharyngeal carcinoma prognostication based on pre- and post-treatment MRI.
Computer methods and programs in biomedicine
Mar 31, 2022
PURPOSE: We aimed to predict the prognosis of advanced nasopharyngeal carcinoma (stage Ⅲ-Ⅳa) using Pre- and Post-treatment MR images based on deep learning (DL).
High relaxivity Gd-based organic nanoparticles for efficient magnetic resonance angiography.
Journal of nanobiotechnology
Mar 31, 2022
Contrast-enhanced MR angiography (MRA) is a critical technique for vascular imaging. Nevertheless, the efficacy of MRA is often limited by the low rate of relaxation, short blood-circulation time, and metal ion-released potential long-term toxicity o...
Deep learning reconstruction for 1.5 T cervical spine MRI: effect on interobserver agreement in the evaluation of degenerative changes.
European radiology
Mar 29, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) provides improved cervical spine MR images using a 1.5 T unit in the evaluation of degenerative changes without increasing imaging time.
Automatic MRI segmentation of pectoralis major muscle using deep learning.
Scientific reports
Mar 29, 2022
To develop and validate a deep convolutional neural network (CNN) method capable of selecting the greatest Pectoralis Major Cross-Sectional Area (PMM-CSA) and automatically segmenting PMM on an axial Magnetic Resonance Imaging (MRI). We hypothesized ...
A deep learning MRI approach outperforms other biomarkers of prodromal Alzheimer's disease.
Alzheimer's research & therapy
Mar 29, 2022
BACKGROUND: The three core pathologies of Alzheimer's disease (AD) are amyloid pathology, tau pathology, and neurodegeneration. Biomarkers exist for each. Neurodegeneration is often detected by neuroimaging, and we hypothesized that a voxel-based dee...
How Machine Learning is Powering Neuroimaging to Improve Brain Health.
Neuroinformatics
Mar 28, 2022
This report presents an overview of how machine learning is rapidly advancing clinical translational imaging in ways that will aid in the early detection, prediction, and treatment of diseases that threaten brain health. Towards this goal, we areshar...
Editorial for "Breast MRI Background Parenchymal Enhancement Categorization Using Deep Learning: Outperforming the Radiologist".
Journal of magnetic resonance imaging : JMRI
Mar 28, 2022
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