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Journal of magnetic resonance imaging : JMRI

Showing 1 to 10 of 234 articles

Magnetic Resonance Imaging in the Clinical Evaluation of Lung Disorders: Current Status and Future Prospects.

Journal of magnetic resonance imaging : JMRI May 9, 2025
The low proton density and high signal decay rate of pulmonary tissue have previously hampered the application of magnetic resonance imaging (MRI) in the clinical evaluation of lung disorders. With the continuing technical advances in scanners, coils...
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The Role of Large Language Models (LLMs) in Breast Imaging Today and in the Near Future.

Journal of magnetic resonance imaging : JMRI May 4, 2025
This narrative review focuses on the integration of large language models (LLMs), such as GPT-4 and Gemini, into breast imaging. LLMs excel in understanding, processing, and generating human-like text, with potential applications ranging widely from ...
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Semi-Supervised Learning Allows for Improved Segmentation With Reduced Annotations of Brain Metastases Using Multicenter MRI Data.

Journal of magnetic resonance imaging : JMRI Jan 10, 2025
BACKGROUND: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation ...
Retrospective Studies Female Reproducibility of Results Brain Neoplasms Humans Algorithms Brain Magnetic Resonance Imaging Supervised Machine Learning Image Interpretation, Computer-Assisted Male Middle Aged Deep Learning Image Processing, Computer-Assisted
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Incorporating Radiologist Knowledge Into MRI Quality Metrics for Machine Learning Using Rank-Based Ratings.

Journal of magnetic resonance imaging : JMRI Dec 17, 2024
BACKGROUND: Deep learning (DL) often requires an image quality metric; however, widely used metrics are not designed for medical images.
Image Interpretation, Computer-Assisted Databases, Factual Brain Retrospective Studies Reproducibility of Results Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Magnetic Resonance Imaging Algorithms Radiologists
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Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Dec 6, 2024
BACKGROUND: Previous studies explored MRI-based radiomic features for differentiating between human epidermal growth factor receptor 2 (HER2)-zero, HER2-low, and HER2-positive breast cancer, but deep learning's effectiveness is uncertain.
Receptor, ErbB-2 Breast Neoplasms Middle Aged Deep Learning ROC Curve Contrast Media Magnetic Resonance Imaging Breast Image Interpretation, Computer-Assisted Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Retrospective Studies Female
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Development of a Dual-Plane MRI-Based Deep Learning Model to Assess the 1-Year Postoperative Outcomes in Lumbar Disc Herniation After Tubular Microdiscectomy.

Journal of magnetic resonance imaging : JMRI Nov 5, 2024
BACKGROUND: Tubular microdiscectomy (TMD) is a treatment for lumbar disc herniation (LDH). Although the combination of MRI and deep learning (DL) has shown promise, its application in evaluating postoperative outcomes in TMD has not been fully explor...
Aged Adult Male Middle Aged Deep Learning Treatment Outcome Magnetic Resonance Imaging Microsurgery Humans Lumbar Vertebrae Retrospective Studies Intervertebral Disc Displacement Female Postoperative Period Reproducibility of Results Diskectomy
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Characterization of Brain Abnormalities in Lactational Neurodevelopmental Poly I:C Rat Model of Schizophrenia and Depression Using Machine-Learning and Quantitative MRI.

Journal of magnetic resonance imaging : JMRI Oct 28, 2024
BACKGROUND: A recent neurodevelopmental rat model, utilizing lactational exposure to polyriboinosinic-polyribocytidilic acid (Poly I:C) leads to mimics of behavioral phenotypes resembling schizophrenia-like symptoms in male offspring and depression-l...
Female Animals Male Depression Machine Learning Schizophrenia Brain Lactation Rats Diffusion Tensor Imaging Magnetic Resonance Imaging Poly I-C Rats, Sprague-Dawley Disease Models, Animal
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Deep-Learning-Based Disease Classification in Patients Undergoing Cine Cardiac MRI.

Journal of magnetic resonance imaging : JMRI Oct 1, 2024
BACKGROUND: Automated approaches may allow for fast, reproducible clinical assessment of cardiovascular diseases from MRI.
Humans Magnetic Resonance Imaging, Cine Cardiomyopathy, Dilated Middle Aged Deep Learning Aged Image Processing, Computer-Assisted Heart Ventricles Algorithms Adult Heart Image Interpretation, Computer-Assisted Retrospective Studies Sensitivity and Specificity Cardiomyopathy, Hypertrophic Female Male Myocardial Ischemia Reproducibility of Results
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Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI Study.

Journal of magnetic resonance imaging : JMRI Aug 22, 2024
BACKGROUND: Pathological axillary lymph node (pALN) burden is an important factor for treatment decision-making in clinical T1-T2 (cT1-T2) stage breast cancer. Preoperative assessment of the pALN burden and prognosis aids in the individualized select...
Axilla Neoplasm Staging Aged, 80 and over Middle Aged Young Adult Retrospective Studies Humans Lymph Nodes Adult Female Machine Learning Lymphatic Metastasis Breast Neoplasms Reproducibility of Results Prognosis Magnetic Resonance Imaging Aged
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Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.

Journal of magnetic resonance imaging : JMRI Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Female Reproducibility of Results Risk Factors Aged Neoplasm Recurrence, Local Urinary Bladder Multiparametric Magnetic Resonance Imaging Humans Non-Muscle Invasive Bladder Neoplasms Retrospective Studies Deep Learning Magnetic Resonance Imaging Urinary Bladder Neoplasms Neoplasm Invasiveness Radiomics Male Middle Aged Risk Assessment
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