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Journal of magnetic resonance imaging : JMRI

Showing 31 to 40 of 234 articles

Machine Learning and Deep Learning Applications in Magnetic Particle Imaging.

Journal of magnetic resonance imaging : JMRI Feb 15, 2024
In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging technique depicting high sensitivity and spatial resolution. It originated in the early 2000s where it proposed a new approach to challenge the low spatial resolution...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Magnetite Nanoparticles Humans Machine Learning Algorithms Animals
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AI-Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches.

Journal of magnetic resonance imaging : JMRI Jan 19, 2024
Anomaly detection in medical imaging, particularly within the realm of magnetic resonance imaging (MRI), stands as a vital area of research with far-reaching implications across various medical fields. This review meticulously examines the integratio...
Humans Artificial Intelligence Machine Learning Brain Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Enhancing Nigrosome-1 Sign Identification via Interpretable AI using True Susceptibility Weighted Imaging.

Journal of magnetic resonance imaging : JMRI Jan 18, 2024
BACKGROUND: Nigrosome 1 (N1), the largest nigrosome region in the ventrolateral area of the substantia nigra pars compacta, is identifiable by the "N1 sign" in long echo time gradient echo MRI. The N1 sign's absence is a vital Parkinson's disease (PD...
Humans Prospective Studies Female Reproducibility of Results Aged Adult Male Middle Aged Image Interpretation, Computer-Assisted Substantia Nigra Deep Learning ROC Curve Magnetic Resonance Imaging Parkinson Disease
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Deep Learning-Based Analysis of Aortic Morphology From Three-Dimensional MRI.

Journal of magnetic resonance imaging : JMRI Jan 12, 2024
BACKGROUND: Quantification of aortic morphology plays an important role in the evaluation and follow-up assessment of patients with aortic diseases, but often requires labor-intensive and operator-dependent measurements. Automatic solutions would hel...
Aortic Diseases Turner Syndrome Hypertension Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Aorta Female Humans Reproducibility of Results Retrospective Studies Aged Adult Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Male Middle Aged
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A Convolutional Neural Network Model for Distinguishing Hemangioblastomas From Other Cerebellar-and-Brainstem Tumors Using Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Jan 11, 2024
BACKGROUND: Hemangioblastoma (HB) is a highly vascularized tumor most commonly occurring in the posterior cranial fossa, requiring accurate preoperative diagnosis to avoid accidental intraoperative hemorrhage and even death.
Diagnosis, Differential Brain Stem Neoplasms Cerebellar Neoplasms Hemangioblastoma Child, Preschool Child Contrast Media Magnetic Resonance Imaging Retrospective Studies Female Aged Young Adult Adult Male Middle Aged Adolescent Humans Neural Networks, Computer
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MRI-Based Kinetic Heterogeneity Evaluation in the Accurate Access of Axillary Lymph Node Status in Breast Cancer Using a Hybrid CNN-RNN Model.

Journal of magnetic resonance imaging : JMRI Jan 11, 2024
BACKGROUND: Accurate evaluation of the axillary lymph node (ALN) status is needed for determining the treatment protocol for breast cancer (BC). The value of magnetic resonance imaging (MRI)-based tumor heterogeneity in assessing ALN metastasis in BC...
Reproducibility of Results Aged Adult Breast Neoplasms Humans Neural Networks, Computer Retrospective Studies Female Kinetics Lymphatic Metastasis Contrast Media Magnetic Resonance Imaging Axilla Middle Aged Deep Learning ROC Curve Lymph Nodes
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Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.

Journal of magnetic resonance imaging : JMRI Jan 2, 2024
BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system.
Magnetic Resonance Imaging Sacroiliac Joint Sacroiliitis Spondylarthritis Middle Aged Severity of Illness Index Deep Learning Canada Humans Algorithms Prospective Studies Female Reproducibility of Results Adult Male
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Collaborative Learning for Annotation-Efficient Volumetric MR Image Segmentation.

Journal of magnetic resonance imaging : JMRI Dec 29, 2023
BACKGROUND: Deep learning has presented great potential in accurate MR image segmentation when enough labeled data are provided for network optimization. However, manually annotating three-dimensional (3D) MR images is tedious and time-consuming, req...
Retrospective Studies Heart Atria Humans Reproducibility of Results Algorithms Male Imaging, Three-Dimensional Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostate
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Editorial for "Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping".

Journal of magnetic resonance imaging : JMRI Dec 29, 2023
Cerebral Hemorrhage Humans Cerebral Small Vessel Diseases Brain Deep Learning Magnetic Resonance Imaging
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Deep-Learning-Based MRI Microbleeds Detection for Cerebral Small Vessel Disease on Quantitative Susceptibility Mapping.

Journal of magnetic resonance imaging : JMRI Dec 27, 2023
BACKGROUND: Cerebral microbleeds (CMB) are indicators of severe cerebral small vessel disease (CSVD) that can be identified through hemosiderin-sensitive sequences in MRI. Specifically, quantitative susceptibility mapping (QSM) and deep learning were...
Retrospective Studies Magnetic Resonance Imaging Female Cerebral Hemorrhage Aged Image Interpretation, Computer-Assisted Humans Sensitivity and Specificity Cerebral Small Vessel Diseases Algorithms Male Brain Middle Aged Deep Learning Image Processing, Computer-Assisted
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