AIMC Topic: Magnetic Resonance Imaging

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Automatic detection of anteriorly displaced temporomandibular joint discs on magnetic resonance images using a deep learning algorithm.

Dento maxillo facial radiology Nov 29, 2021
OBJECTIVES: This study aimed to develop models that can automatically detect anterior disc displacement (ADD) of the temporomandibular joint (TMJ) on MRIs before orthodontic treatment to reduce the risk of developing serious complications after treat...
Humans Algorithms Temporomandibular Joint Temporomandibular Joint Disc Deep Learning Magnetic Resonance Imaging
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Generative Adversarial Networks to Improve Fetal Brain Fine-Grained Plane Classification.

Sensors (Basel, Switzerland) Nov 29, 2021
Generative adversarial networks (GANs) have been recently applied to medical imaging on different modalities (MRI, CT, X-ray, etc). However there are not many applications on ultrasound modality as a data augmentation technique applied to downstream ...
Neural Networks, Computer Brain Ultrasonography Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Artificial intelligence and magnetic resonance imaging may not make cancer screening better.

Journal of cancer policy Nov 27, 2021
Early Detection of Cancer Humans Artificial Intelligence Neoplasms Algorithms Magnetic Resonance Imaging
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An end-to-end approach to segmentation in medical images with CNN and posterior-CRF.

Medical image analysis Nov 27, 2021
Conditional Random Fields (CRFs) are often used to improve the output of an initial segmentation model, such as a convolutional neural network (CNN). Conventional CRF approaches in medical imaging use manually defined features, such as intensity to i...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Magnetic Resonance Imaging
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Direct left-ventricular global longitudinal strain (GLS) computation with a fully convolutional network.

Journal of biomechanics Nov 27, 2021
This study's purpose was to develop a direct MRI-based, deep-learning semantic segmentation approach for computing global longitudinal strain (GLS), a known metric for detecting left-ventricular (LV) cardiotoxicity in breast cancer. Displacement Enco...
Deep Learning Magnetic Resonance Imaging Heart Ventricles Reproducibility of Results Breast Neoplasms Female Humans
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Magnetic Resonance Imaging Image Feature Analysis Algorithm under Convolutional Neural Network in the Diagnosis and Risk Stratification of Prostate Cancer.

Journal of healthcare engineering Nov 27, 2021
This work aimed to explore the accuracy of magnetic resonance imaging (MRI) images based on the convolutional neural network (CNN) algorithm in the diagnosis of prostate cancer patients and tumor risk grading. A total of 89 patients with prostate can...
Male Prostatic Neoplasms Risk Assessment Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms
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DeepSENSE: Learning coil sensitivity functions for SENSE reconstruction using deep learning.

Magnetic resonance in medicine Nov 26, 2021
PURPOSE: To improve the estimation of coil sensitivity functions from limited auto-calibration signals (ACS) in SENSE-based reconstruction for brain imaging.
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Magnetic Resonance Imaging Brain Deep Learning
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Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation.

Medical image analysis Nov 26, 2021
Domain shift, the mismatch between training and testing data characteristics, causes significant degradation in the predictive performance in multi-source imaging scenarios. In medical imaging, the heterogeneity of population, scanners and acquisitio...
Radiography Alzheimer Disease Machine Learning Neuroimaging Humans Magnetic Resonance Imaging
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Artificial intelligence on MRI for molecular subtyping of diffuse gliomas: feature comparison, visualization, and correlation between radiomics and deep learning.

European radiology Nov 26, 2021
Humans Artificial Intelligence Glioma Magnetic Resonance Imaging Deep Learning
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Automatic deep learning-based myocardial infarction segmentation from delayed enhancement MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 26, 2021
Delayed Enhancement cardiac MRI (DE-MRI) has become indispensable for the diagnosis of myocardial diseases. However, to quantify the disease severity, doctors need time to manually annotate the scar and myocardium. To address this issue, in this pape...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Myocardial Infarction Heart Ventricles Humans
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