AIMC Topic: Magnetic Resonance Imaging

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A Framework for Interactive Medical Image Segmentation Using Optimized Swarm Intelligence with Convolutional Neural Networks.

Computational intelligence and neuroscience Aug 24, 2022
Recent improvements in current technology have had a significant impact on a wide range of image processing applications, including medical imaging. Classification, detection, and segmentation are all important aspects of medical imaging technology. ...
Magnetic Resonance Imaging Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Intelligence
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MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.

Medical physics Aug 23, 2022
BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a significant role in tumor treatment. However, the existing approaches mainly focus on the fusion of multi-modality while ignoring the correlation betwee...
Magnetic Resonance Imaging Humans Deep Learning Image Processing, Computer-Assisted Brain Neoplasms
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A reciprocal learning strategy for semisupervised medical image segmentation.

Medical physics Aug 23, 2022
BACKGROUND: Semisupervised strategy has been utilized to alleviate issues from segmentation applications due to challenges in collecting abundant annotated segmentation masks, which is an essential prerequisite for training high-performance 3D convol...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Tomography, X-Ray Computed
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Deep learning-based image deconstruction method with maintained saliency.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2022
Visual properties that primarily attract bottom-up attention are collectively referred to as saliency. In this study, to understand the neural activity involved in top-down and bottom-up visual attention, we aim to prepare pairs of natural and unnatu...
Deep Learning Magnetic Resonance Imaging Humans Neural Networks, Computer
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Frameless robot-assisted stereotactic biopsy: an effective and minimally invasive technique for pediatric diffuse intrinsic pontine gliomas.

Journal of neuro-oncology Aug 23, 2022
PURPOSE: Diffuse intrinsic pontine gliomas (DIPGs) are prone to high surgical risks, and they could even lead to death due to their specific sites. To determine the value of frameless robot-assisted stereotactic biopsies of DIPGs, when compared it wi...
Robotics Humans Biopsy Stereotaxic Techniques Astrocytoma Brain Stem Neoplasms Retrospective Studies Diffuse Intrinsic Pontine Glioma Child Magnetic Resonance Imaging
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MRI-Based Artificial Intelligence in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI Aug 22, 2022
Rectal cancer (RC) accounts for approximately one-third of colorectal cancer (CRC), with death rates increasing in patients younger than 50 years old. Magnetic resonance imaging (MRI) is routinely performed for tumor evaluation. However, the semantic...
Rectal Neoplasms Prognosis Reproducibility of Results Middle Aged Magnetic Resonance Imaging Humans Artificial Intelligence
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Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms.

Journal of digital imaging Aug 22, 2022
The main aim of the present study was to predict myocardial function improvement in cardiac MR (LGE-CMR) images in patients after coronary artery bypass grafting (CABG) using radiomics and machine learning algorithms. Altogether, 43 patients who had ...
Coronary Artery Bypass Algorithms Support Vector Machine Retrospective Studies Humans Magnetic Resonance Imaging Machine Learning
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A survey of catheter tracking concepts and methodologies.

Medical image analysis Aug 22, 2022
Catheter tracking has become an integral part of interventional radiology. Over the last decades, researchers have significantly contributed to theoretical and technical catheter tracking solutions. However, most of the published work thus far focuse...
Humans Catheters Robotics Magnetic Resonance Imaging Endovascular Procedures
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The potential of predictive and prognostic breast MRI (P2-bMRI).

European radiology experimental Aug 22, 2022
Magnetic resonance imaging (MRI) is an important part of breast cancer diagnosis and multimodal workup. It provides unsurpassed soft tissue contrast to analyse the underlying pathophysiology, and it is adopted for a variety of clinical indications. P...
Artificial Intelligence Prognosis Humans Magnetic Resonance Imaging Breast Female Breast Neoplasms
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Double U-Net CycleGAN for 3D MR to CT image synthesis.

International journal of computer assisted radiology and surgery Aug 19, 2022
PURPOSE: CycleGAN and its variants are widely used in medical image synthesis, which can use unpaired data for medical image synthesis. The most commonly used method is to use a Generative Adversarial Network (GAN) model to process 2D slices and ther...
Magnetic Resonance Imaging Deep Learning Magnetic Resonance Spectroscopy Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed
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