AIMC Topic:
Magnetic Resonance Imaging

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Searching for the grail: may machine learning be a road to clinical use of brain MRI segmentation?

European radiology Nov 17, 2023
Magnetic Resonance Imaging Humans Machine Learning Brain
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Differentiation Between Glioblastoma and Metastatic Disease on Conventional MRI Imaging Using 3D-Convolutional Neural Networks: Model Development and Validation.

Academic radiology Nov 17, 2023
RATIONALE AND OBJECTIVES: Imaging-based differentiation between glioblastoma (GB) and brain metastases (BM) remains challenging. Our aim was to evaluate the performance of 3D-convolutional neural networks (CNN) to address this binary classification p...
Middle Aged Imaging, Three-Dimensional Magnetic Resonance Imaging Brain Neoplasms Humans Reproducibility of Results Male Diagnosis, Differential Aged Neural Networks, Computer Glioblastoma Adult Female Image Interpretation, Computer-Assisted
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Application of natural language processing to post-structuring of rectal cancer MRI reports.

Clinical radiology Nov 17, 2023
AIM: To evaluate a natural language processing (NLP) system for extracting structured information from the free-form text of rectal cancer magnetic resonance imaging (MRI) reports written in Chinese.
Natural Language Processing Humans Rectal Neoplasms Magnetic Resonance Imaging Research Report
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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
Deep Learning Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Brain Radiomics Humans Brain Neoplasms
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MRI-based automated multitask deep learning system to evaluate supraspinatus tendon injuries.

European radiology Nov 15, 2023
OBJECTIVE: To establish an automated, multitask, MRI-based deep learning system for the detailed evaluation of supraspinatus tendon (SST) injuries.
Female Magnetic Resonance Imaging Reproducibility of Results Rotator Cuff Injuries Deep Learning Aged Arthroscopy ROC Curve Adult Male Humans Middle Aged Retrospective Studies
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Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.

European radiology Nov 14, 2023
OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predicted brain age (PBA) derived from graph convolutional network (GCN) that accounts for cortical morphom...
Neurodevelopmental Disorders Magnetic Resonance Imaging Infant, Premature Gestational Age Humans Neural Networks, Computer Brain Female Infant, Newborn Male
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Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review.

Journal of the World federation of orthodontists Nov 14, 2023
BACKGROUND: Bone age assessment, as an indicator of biological age, is widely used in orthodontics and pediatric endocrinology. Owing to significant subject variations in the manual method of assessment, artificial intelligence (AI), machine learning...
Humans Artificial Intelligence Machine Learning Age Determination by Skeleton Deep Learning Magnetic Resonance Imaging
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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 ...
Radiomics Brain Neoplasms Male Female Humans Aged Magnetic Resonance Imaging Brain Adult Retrospective Studies Diagnosis, Differential Middle Aged Glioblastoma Deep Learning Nomograms
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Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy.

Medical physics Nov 13, 2023
BACKGROUND: Deep learning has shown promising results to generate MRI-based synthetic CTs and to enable accurate proton dose calculations on MRIs. For clinical implementation of synthetic CTs, quality assurance tools that verify their quality and rel...
Tomography, X-Ray Computed Reproducibility of Results Deep Learning Proton Therapy Uncertainty Protons Feasibility Studies Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Radiotherapy Dosage Magnetic Resonance Imaging
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Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.

Medical physics Nov 13, 2023
BACKGROUND: Despite extensive efforts to obtain accurate segmentation of magnetic resonance imaging (MRI) scans of a head, it remains challenging primarily due to variations in intensity distribution, which depend on the equipment and parameters used...
Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Scalp
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