AIMC Topic: Magnetic Resonance Imaging
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Editorial for "Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI".
Journal of magnetic resonance imaging : JMRI
Aug 18, 2022
Automated Magnetic Resonance Image Segmentation of Spinal Structures at the L4-5 Level with Deep Learning: 3D Reconstruction of Lumbar Intervertebral Foramen.
Orthopaedic surgery
Aug 18, 2022
OBJECTIVE: 3D reconstruction of lumbar intervertebral foramen (LIVF) has been beneficial in evaluating surgical trajectory. Still, the current methods of reconstructing the 3D LIVF model are mainly based on manual segmentation, which is laborious and...
Metaheuristic Optimization-Driven Novel Deep Learning Approach for Brain Tumor Segmentation.
BioMed research international
Aug 18, 2022
Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of brain tumors, is very operative in distinguishing and determining the tumor's exact location in the brain. Magnetic resonance imaging (MRI) is an effi...
Deep learning for standardized, MRI-based quantification of subcutaneous and subfascial tissue volume for patients with lipedema and lymphedema.
European radiology
Aug 17, 2022
OBJECTIVES: To contribute to a more in-depth assessment of shape, volume, and asymmetry of the lower extremities in patients with lipedema or lymphedema utilizing volume information from MR imaging.
Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features.
Scientific reports
Aug 17, 2022
Social anxiety is a symptom widely prevalent among young adults, and when present in excess, can lead to maladaptive patterns of social behavior. Recent approaches that incorporate brain functional radiomic features and machine learning have shown po...
Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.
NeuroImage. Clinical
Aug 17, 2022
Accurate segmentation of surgical resection sites is critical for clinical assessments and neuroimaging research applications, including resection extent determination, predictive modeling of surgery outcome, and masking image processing near resecti...
Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI.
Journal of magnetic resonance imaging : JMRI
Aug 16, 2022
BACKGROUND: Automated segmentation of the placenta by MRI in early pregnancy may help predict normal and aberrant placenta function, which could improve the efficiency of placental assessment and the prediction of pregnancy outcomes. An automated seg...
Artificial Intelligence Algorithm-Based MRI in the Diagnosis of Complications after Renal Transplantation.
Contrast media & molecular imaging
Aug 16, 2022
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (DRSA-U-Net) in the diagnosis of complications after renal transplantation and to provide a more effe...
Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection.
Statistics in medicine
Aug 14, 2022
Machine learning (ML) has been extensively applied in brain imaging studies to aid the diagnosis of psychiatric disorders and the selection of potential biomarkers. Due to the high dimensionality of imaging data and heterogeneous subtypes of psychiat...
Accuracy of artificial intelligence for the detection of intracranial hemorrhage and chronic cerebral microbleeds: a systematic review and pooled analysis.
La Radiologia medica
Aug 13, 2022
BACKGROUND: Artificial intelligence (AI)-driven software has been developed and become commercially available within the past few years for the detection of intracranial hemorrhage (ICH) and chronic cerebral microbleeds (CMBs). However, there is curr...
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