AIMC Topic:
Magnetic Resonance Imaging

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Reconstruction of shoulder MRI using deep learning and compressed sensing: a validation study on healthy volunteers.

European radiology experimental Oct 26, 2023
BACKGROUND: To investigate the potential of combining compressed sensing (CS) and deep learning (DL) for accelerated two-dimensional (2D) and three-dimensional (3D) magnetic resonance imaging (MRI) of the shoulder.
Shoulder Imaging, Three-Dimensional Magnetic Resonance Imaging Healthy Volunteers Humans Deep Learning
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Cross-sectional area and fat infiltration of the lumbar spine muscles in patients with back disorders: a deep learning-based big data analysis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Oct 24, 2023
PURPOSE: Validated deep learning models represent a valuable option to perform large-scale research studies aiming to evaluate muscle quality and quantity of paravertebral lumbar muscles at the population level. This study aimed to assess lumbar spin...
Middle Aged Deep Learning Magnetic Resonance Imaging Aged Adult Male Paraspinal Muscles Lumbar Vertebrae Psoas Muscles Lumbosacral Region Humans Retrospective Studies Female
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SaRF: Saliency regularized feature learning improves MRI sequence classification.

Computer methods and programs in biomedicine Oct 20, 2023
BACKGROUND AND OBJECTIVE: Deep learning based medical image analysis technologies have the potential to greatly improve the workflow of neuro-radiologists dealing routinely with multi-sequence MRI. However, an essential step for current deep learning...
Humans Reproducibility of Results Deep Learning Magnetic Resonance Imaging
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Editorial for "Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI".

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
Magnetic Resonance Imaging Neoplasm Invasiveness Breast Lymphatic Metastasis Contrast Media Breast Neoplasms Radiomics Deep Learning Humans Female
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Assessment of Lymphovascular Invasion in Breast Cancer Using a Combined MRI Morphological Features, Radiomics, and Deep Learning Approach Based on Dynamic Contrast-Enhanced MRI.

Journal of magnetic resonance imaging : JMRI Oct 19, 2023
BACKGROUND: Assessment of lymphovascular invasion (LVI) in breast cancer (BC) primarily relies on preoperative needle biopsy. There is an urgent need to develop a non-invasive assessment method.
Humans Retrospective Studies Female Lymphatic Metastasis Aged Neoplasm Invasiveness Radiomics Deep Learning Contrast Media Adult Breast Cross-Sectional Studies Cohort Studies Magnetic Resonance Imaging Breast Neoplasms Middle Aged ROC Curve
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Predicting meningioma grades and pathologic marker expression via deep learning.

European radiology Oct 19, 2023
OBJECTIVES: To establish a deep learning (DL) model for predicting tumor grades and expression of pathologic markers of meningioma.
Male Humans Middle Aged Ki-67 Antigen Aged Deep Learning Magnetic Resonance Imaging Retrospective Studies Meningioma Female Adult Predictive Value of Tests Meningeal Neoplasms Biomarkers, Tumor Neoplasm Grading
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Deep learning for diagnosis of head and neck cancers through radiographic data: a systematic review and meta-analysis.

Oral radiology Oct 19, 2023
PURPOSE: This study aims to review deep learning applications for detecting head and neck cancer (HNC) using magnetic resonance imaging (MRI) and radiographic data.
Deep Learning Head and Neck Neoplasms Magnetic Resonance Imaging Humans Positron-Emission Tomography Sensitivity and Specificity
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Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta.

Journal of magnetic resonance imaging : JMRI Oct 18, 2023
BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis.
Magnetic Resonance Imaging Placenta Placenta Accreta Female Deep Learning Pregnancy Outcome Retrospective Studies Pregnancy Humans
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Evaluation of a Deep Learning Reconstruction for High-Quality T2-Weighted Breast Magnetic Resonance Imaging.

Tomography (Ann Arbor, Mich.) Oct 18, 2023
Deep learning (DL) reconstruction techniques to improve MR image quality are becoming commercially available with the hope that they will be applicable to multiple imaging application sites and acquisition protocols. However, before clinical implemen...
Signal-To-Noise Ratio Deep Learning Humans Magnetic Resonance Imaging Retrospective Studies Breast
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Interpreting deep learning models for glioma survival classification using visualization and textual explanations.

BMC medical informatics and decision making Oct 18, 2023
BACKGROUND: Saliency-based algorithms are able to explain the relationship between input image pixels and deep-learning model predictions. However, it may be difficult to assess the clinical value of the most important image features and the model pr...
Humans Glioma Neural Networks, Computer Magnetic Resonance Imaging Deep Learning Neuroimaging
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