AIMC Topic: Magnetic Resonance Imaging
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TransDIR: Deformable imaging registration network based on transformer to improve the feature extraction ability.
Medical physics
Jan 18, 2022
PURPOSE: Imaging registration has a significant contribution to guide and support physicians in the process of decision-making for diagnosis, prognosis, and treatment. However, existing registration methods based on the convolutional neural network c...
A deep learning radiomics model may help to improve the prediction performance of preoperative grading in meningioma.
Neuroradiology
Jan 17, 2022
PURPOSE: This study aimed to investigate the clinical usefulness of the enhanced-T1WI-based deep learning radiomics model (DLRM) in differentiating low- and high-grade meningiomas.
Segmenting pediatric optic pathway gliomas from MRI using deep learning.
Computers in biology and medicine
Jan 17, 2022
Optic pathway gliomas are low-grade neoplastic lesions that account for approximately 3-5% of brain tumors in children. Assessing tumor burden from magnetic resonance imaging (MRI) plays a central role in its efficient management, yet it is a challen...
Generation of quantification maps and weighted images from synthetic magnetic resonance imaging using deep learning network.
Physics in medicine and biology
Jan 17, 2022
The generation of quantification maps and weighted images in synthetic MRI techniques is based on complex fitting equations. This process requires longer image generation times. The objective of this study is to evaluate the feasibility of deep learn...
Rubik-Net: Learning Spatial Information via Rotation-Driven Convolutions for Brain Segmentation.
IEEE journal of biomedical and health informatics
Jan 17, 2022
The accurate segmentation of brain tissue in Magnetic Resonance Image (MRI) slices is essential for assessing neurological conditions and brain diseases. However, it is challenging to segment MRI slices because of the low contrast between different b...
Comparing two artificial intelligence software packages for normative brain volumetry in memory clinic imaging.
Neuroradiology
Jan 15, 2022
PURPOSE: To compare two artificial intelligence software packages performing normative brain volumetry and explore whether they could differently impact dementia diagnostics in a clinical context.
Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening tool.
Radiography (London, England : 1995)
Jan 15, 2022
INTRODUCTION: Screening for metallic implants and foreign bodies before magnetic resonance imaging (MRI) examinations, are crucial for patient safety. History of health are supplied by the patient, a family member, screening of electronic health reco...
Evidence for distinct neuro-metabolic phenotypes in humans.
NeuroImage
Jan 13, 2022
Advances in magnetic resonance imaging have shown how individual differences in the structure and function of the human brain relate to health and cognition. The relationship between individual differences and the levels of neuro-metabolites, however...
Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier.
PloS one
Jan 13, 2022
Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Disc (IVD) of the patient's lumbar spine. Their automatic detection and classification require an application of an image analysis algorithm on suitable...
Meta-analysis of human prediction error for incentives, perception, cognition, and action.
Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
Jan 11, 2022
Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbrain neural firing has been confirmed across species and has inspired the construction of artificial intelligence that can outperform humans. However, t...
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