AIMC Topic: Magnetic Resonance Imaging
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Automated Protocoling for MRI Exams-Challenges and Solutions.
Journal of digital imaging
Aug 30, 2022
Automated protocoling for MRI examinations is an amendable target for workflow automation with artificial intelligence. However, there are still challenges to overcome for a successful and robust approach. These challenges are outlined and analyzed i...
Classifying Temporomandibular Disorder with Artificial Intelligent Architecture Using Magnetic Resonance Imaging.
Annals of biomedical engineering
Aug 29, 2022
This study proposes a new diagnostic tool for automatically extracting discriminative features and detecting temporomandibular joint disc displacement (TMJDD) accurately with artificial intelligence. We analyzed the structural magnetic resonance imag...
Synthetic CT in Musculoskeletal Disorders: A Systematic Review.
Investigative radiology
Aug 29, 2022
Repeated computed tomography (CT) examinations increase patients' ionizing radiation exposure and health costs, making an alternative method desirable. Cortical and trabecular bone, however, have short T2 relaxation times, causing low signal intensit...
A data augmentation method for fully automatic brain tumor segmentation.
Computers in biology and medicine
Aug 27, 2022
Automatic segmentation of glioma and its subregions is of great significance for diagnosis, treatment and monitoring of disease. In this paper, an augmentation method, called TensorMixup, was proposed and applied to the three dimensional U-Net archit...
Deep Learning Classification of Treatment Response in Diabetic Painful Neuropathy: A Combined Machine Learning and Magnetic Resonance Neuroimaging Methodological Study.
Neuroinformatics
Aug 26, 2022
Functional magnetic resonance imaging (fMRI) has been shown successfully to assess and stratify patients with painful diabetic peripheral neuropathy (pDPN). This supports the idea of using neuroimaging as a mechanism-based technique to individualise ...
Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Aug 26, 2022
Osteoporosis is still a worldwide problem, particularly due to associated fragility fractures. Patients at risk of fracture are currently detected using the X-Ray gold standard dual-energy X-ray absorptiometry (DXA), based on a calibrated 2-D image. ...
Improving Image Quality and Reducing Scan Time for Synthetic MRI of Breast by Using Deep Learning Reconstruction.
BioMed research international
Aug 26, 2022
OBJECTIVES: To investigate a deep learning reconstruction algorithm to reduce the time of synthetic MRI (SynMRI) scanning on the breast and improve the image quality.
[Artificial intelligence and radiomics : Value in cardiac MRI].
Radiologie (Heidelberg, Germany)
Aug 25, 2022
CLINICAL/METHODICAL ISSUE: Cardiac diseases are the leading cause of death. Many diseases can be specifically treated once a valid diagnosis is established. Cardiac magnetic resonance imaging (MRI) plays a central role in the workup of many cardiac p...
A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates.
Artificial intelligence in medicine
Aug 24, 2022
Segmentation of specific brain tissue from MRI volumes is of great significance for brain disease diagnosis, progression assessment, and monitoring of neurological conditions. Manual segmentation is time-consuming, laborious, and subjective, which si...
Domain generalization in deep learning for contrast-enhanced imaging.
Computers in biology and medicine
Aug 24, 2022
BACKGROUND: The domain generalization problem has been widely investigated in deep learning for non-contrast imaging over the last years, but it received limited attention for contrast-enhanced imaging. However, there are marked differences in contra...
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