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Journal of magnetic resonance imaging : JMRI

Showing 41 to 50 of 234 articles

Glioma Tumor Grading Using Radiomics on Conventional MRI: A Comparative Study of WHO 2021 and WHO 2016 Classification of Central Nervous Tumors.

Journal of magnetic resonance imaging : JMRI Nov 29, 2023
BACKGROUND: Glioma grading transformed in World Health Organization (WHO) 2021 CNS tumor classification, integrating molecular markers. However, the impact of this change on radiomics-based machine learning (ML) classifiers remains unexplored.
Image Processing, Computer-Assisted Humans Glioma Magnetic Resonance Imaging Machine Learning Neoplasm Grading Retrospective Studies World Health Organization Brain Neoplasms Female Central Nervous System Neoplasms Male Reproducibility of Results Middle Aged Aged ROC Curve Adult Radiomics
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Editorial for "A Deep Learning Pipeline Using Prior Knowledge for Automatic Evaluation of Placenta Accreta Spectrum Disorders With MRI".

Journal of magnetic resonance imaging : JMRI Nov 28, 2023
Placenta Prenatal Diagnosis Placenta Accreta Pregnancy Placenta Diseases Female Deep Learning Magnetic Resonance Imaging Humans Retrospective Studies
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Editorial for "Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI".

Journal of magnetic resonance imaging : JMRI Nov 27, 2023
Image Processing, Computer-Assisted Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Humans Female Breast Neoplasms Deep Learning
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Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
Humans Brain Radiomics Brain Neoplasms Deep Learning Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma
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Deep Learning k-Space-to-Image Reconstruction Facilitates High Spatial Resolution and Scan Time Reduction in Diffusion-Weighted Imaging Breast MRI.

Journal of magnetic resonance imaging : JMRI Nov 16, 2023
BACKGROUND: For time-consuming diffusion-weighted imaging (DWI) of the breast, deep learning-based imaging acceleration appears particularly promising.
Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Humans Reproducibility of Results Algorithms Aged Retrospective Studies Adult Female Breast Neoplasms Middle Aged Deep Learning Image Processing, Computer-Assisted Breast
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Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Journal of magnetic resonance imaging : JMRI Nov 13, 2023
BACKGROUND: Studies have shown that deep-learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic-MRI and DLR features can more accurately distinguish GBM from SBM ...
Diagnosis, Differential Glioblastoma Adult Radiomics Brain Neoplasms Male Middle Aged Deep Learning Nomograms Magnetic Resonance Imaging Brain Retrospective Studies Female Aged Humans
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Editorial for "A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI".

Journal of magnetic resonance imaging : JMRI Nov 10, 2023
Female Breast Neoplasms Radiomics Magnetic Resonance Imaging Humans Machine Learning Diagnosis, Differential Breast Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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MRI Deep Learning-Based Automatic Segmentation of Interventricular Septum for Black-Blood Myocardial T2* Measurement in Thalassemia.

Journal of magnetic resonance imaging : JMRI Nov 9, 2023
BACKGROUND: The T2* value of interventricular septum is routinely reported for grading myocardial iron load in thalassemia major, and automatic segmentation of septum could shorten analysis time and reduce interobserver variability.
Humans Retrospective Studies Female Reproducibility of Results Myocardium beta-Thalassemia Iron Overload Thalassemia Observer Variation Ventricular Septum Deep Learning Adolescent Image Processing, Computer-Assisted Magnetic Resonance Imaging Young Adult Adult Male Middle Aged
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A Machine Learning-Based Unenhanced Radiomics Approach to Distinguishing Between Benign and Malignant Breast Lesions Using T2-Weighted and Diffusion-Weighted MRI.

Journal of magnetic resonance imaging : JMRI Nov 7, 2023
BACKGROUND: Breast MRI has been recommended as supplemental screening tool to mammography and breast ultrasound of breast cancer by international guidelines, but its long examination time and use of contrast material remains concerning.
Aged Adult Breast Neoplasms Radiomics Prospective Studies Retrospective Studies Female Reproducibility of Results Humans Area Under Curve Machine Learning Middle Aged Breast Contrast Media Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Diffusion Magnetic Resonance Imaging Diagnosis, Differential
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Reducing Gadolinium Contrast With Artificial Intelligence.

Journal of magnetic resonance imaging : JMRI Oct 31, 2023
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast...
Contrast Media Humans Magnetic Resonance Imaging Artificial Intelligence Neuroimaging Machine Learning Gadolinium Brain
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