AIMC Topic: Magnetic Resonance Imaging

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Editorial for "Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and Relaxometry".

Journal of magnetic resonance imaging : JMRI Aug 12, 2022
Cartilage Humans Algorithms Image Processing, Computer-Assisted Magnetic Resonance Imaging Deep Learning
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Distributed contrastive learning for medical image segmentation.

Medical image analysis Aug 12, 2022
Supervised deep learning needs a large amount of labeled data to achieve high performance. However, in medical imaging analysis, each site may only have a limited amount of data and labels, which makes learning ineffective. Federated learning (FL) ca...
Supervised Machine Learning Humans Magnetic Resonance Imaging
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Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM.

Medicina (Kaunas, Lithuania) Aug 12, 2022
Clinical diagnosis has become very significant in today's health system. The most serious disease and the leading cause of mortality globally is brain cancer which is a key research topic in the field of medical imaging. The examination and prognosi...
Support Vector Machine Magnetic Resonance Imaging Brain Neoplasms Artificial Intelligence Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Deep learning-based medical image segmentation of the aorta using XR-MSF-U-Net.

Computer methods and programs in biomedicine Aug 11, 2022
PURPOSE: This paper proposes a CT images and MRI segmentation technology of cardiac aorta based on XR-MSF-U-Net model. The purpose of this method is to better analyze the patient's condition, reduce the misdiagnosis and mortality rate of cardiovascul...
Magnetic Resonance Imaging Aorta Deep Learning Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed
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Quantifying the post-radiation accelerated brain aging rate in glioma patients with deep learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 10, 2022
BACKGROUND AND PURPOSE: Changes of healthy appearing brain tissue after radiotherapy (RT) have been previously observed. Patients undergoing RT may have a higher risk of cognitive decline, leading to a reduced quality of life. The experienced tissue ...
Humans Brain Aging Glioma Magnetic Resonance Imaging Quality of Life Deep Learning
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Design and applications of water irradiation devoid RF pulses for ultra-high field biomolecular NMR spectroscopy.

Physical chemistry chemical physics : PCCP Aug 10, 2022
Water suppression is of paramount importance for many biological and analytical NMR spectroscopy applications. Here, we report the design of a new set of binomial-like radio frequency (RF) pulses that elude water irradiation while exciting or refocus...
Water Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Radio Waves Nuclear Magnetic Resonance, Biomolecular Artificial Intelligence Algorithms
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Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints.

Radiology Aug 9, 2022
Background MRI is frequently used for early diagnosis of axial spondyloarthritis (axSpA). However, evaluation is time-consuming and requires profound expertise because noninflammatory degenerative changes can mimic axSpA, and early signs may therefor...
Female Adult Deep Learning Humans Spondylarthritis Magnetic Resonance Imaging Axial Spondyloarthritis Sacroiliac Joint
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Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

International journal of neural systems Aug 9, 2022
Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis and intervention. To explore brain differences in ASD and typical development (TD) individuals by detecting structural features using T1-weighted magnet...
Magnetic Resonance Imaging Brain Mapping Child Imaging, Three-Dimensional Datasets as Topic Case-Control Studies Deep Learning Adolescent Child, Preschool Autism Spectrum Disorder Brain Humans
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Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition.

Medical image analysis Aug 6, 2022
Understanding the brain's functional architecture has been an important topic in the neuroimaging field. A variety of brain network modeling methods have been proposed. Recently, deep neural network-based methods have shown a great advantage in model...
Magnetic Resonance Imaging Neuroimaging Algorithms Humans Brain Neural Networks, Computer
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MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imaging.

Magnetic resonance imaging Aug 5, 2022
PURPOSE: To compare capabilities of compressed sensing (CS) with and without deep learning reconstruction (DLR) with those of conventional parallel imaging (PI) with and without DLR for improving examination time and image quality of shoulder MRI for...
Shoulder Signal-To-Noise Ratio Magnetic Resonance Imaging Artifacts Humans Deep Learning
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