AIMC Topic:
Magnetic Resonance Imaging

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Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis.

IEEE transactions on neural networks and learning systems Aug 4, 2023
Segmenting breast tumors from dynamic contrast-enhanced magnetic resonance (DCE-MR) images is a critical step for early detection and diagnosis of breast cancer. However, variable shapes and sizes of breast tumors, as well as inhomogeneous background...
Humans Neural Networks, Computer Breast Neoplasms Magnetic Resonance Imaging Breast Algorithms Female
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Optimizing Deep Learning for Cardiac MRI Segmentation: The Impact of Automated Slice Range Classification.

Academic radiology Aug 3, 2023
RATIONALE AND OBJECTIVES: Cardiac magnetic resonance imaging is crucial for diagnosing cardiovascular diseases, but lengthy postprocessing and manual segmentation can lead to observer bias. Deep learning (DL) has been proposed for automated cardiac s...
Heart Ventricles Magnetic Resonance Imaging, Cine Myocardium Heart Deep Learning Magnetic Resonance Imaging Humans
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Neural network for autonomous segmentation and volumetric assessment of clot and edema in acute and subacute intracerebral hemorrhages.

Magnetic resonance imaging Aug 2, 2023
INTRODUCTION: Minimally-invasive surgical techniques for intracerebral hemorrhage (ICH) evacuation use imaging to guide the suction, lysing and/or drainage from the hemorrhage site via various designs. A previous international surgical study has show...
Magnetic Resonance Imaging Cerebral Hemorrhage Retrospective Studies Image Processing, Computer-Assisted Edema Neural Networks, Computer Brain Humans
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Affine image registration of arterial spin labeling MRI using deep learning networks.

NeuroImage Aug 1, 2023
Convolutional neural networks (CNN) have demonstrated good accuracy and speed in spatially registering high signal-to-noise ratio (SNR) structural magnetic resonance imaging (sMRI) images. However, some functional magnetic resonance imaging (fMRI) im...
Neural Networks, Computer Algorithms Deep Learning Humans Spin Labels Magnetic Resonance Imaging Cerebrovascular Circulation Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Aug 1, 2023
Due primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly dee...
Magnetic Resonance Imaging Head Humans Artificial Intelligence Neural Networks, Computer Neck
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An appraisal of the performance of AI tools for chronic stroke lesion segmentation.

Computers in biology and medicine Aug 1, 2023
Automated demarcation of stoke lesions from monospectral magnetic resonance imaging scans is extremely useful for diverse research and clinical applications, including lesion-symptom mapping to explain deficits and predict recovery. There is a signif...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Uncertainty Stroke Humans Neural Networks, Computer Artificial Intelligence
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Super-resolution of magnetic resonance images using Generative Adversarial Networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 31, 2023
Magnetic Resonance Imaging (MRI) typically comes at the cost of small spatial coverage, high expenses and long scan times. Accelerating MRI acquisition by taking less measurements yields the potential to relax these inherent forfeits. Recent breakthr...
Machine Learning Humans Magnetic Resonance Imaging Neural Networks, Computer
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Detection of Pacemaker and Identification of MRI-conditional Pacemaker Based on Deep-learning Convolutional Neural Networks to Improve Patient Safety.

Journal of medical systems Jul 31, 2023
With the increased availability of magnetic resonance imaging (MRI) and a progressive rise in the frequency of cardiac device implantation, there is an increased chance that patients with implanted cardiac devices require MRI examination during their...
Magnetic Resonance Imaging Humans Pacemaker, Artificial Patient Safety Neural Networks, Computer Deep Learning
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Deep learning pipeline for quality filtering of MRSI spectra.

NMR in biomedicine Jul 30, 2023
With the rise of novel 3D magnetic resonance spectroscopy imaging (MRSI) acquisition protocols in clinical practice, which are capable of capturing a large number of spectra from a subject's brain, there is a need for an automated preprocessing pipel...
Humans Brain Magnetic Resonance Imaging Brain Neoplasms Deep Learning Magnetic Resonance Spectroscopy
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Numerical and Clinical Evaluation of the Robustness of Open-source Networks for Parallel MR Imaging Reconstruction.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jul 28, 2023
PURPOSE: Deep neural networks (DNNs) for MRI reconstruction often require large datasets for training. Still, in clinical settings, the domains of datasets are diverse, and how robust DNNs are to domain differences between training and testing datase...
Adult Humans Brain Male Magnetic Resonance Imaging Deep Learning Female Neural Networks, Computer Middle Aged Image Processing, Computer-Assisted Algorithms
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