AIMC Topic: Head

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AutoAtlas: Neural Network for 3D Unsupervised Partitioning and Representation Learning.

IEEE journal of biomedical and health informatics May 5, 2022
We present a novel neural network architecture called AutoAtlas for fully unsupervised partitioning and representation learning of 3D brain Magnetic Resonance Imaging (MRI) volumes. AutoAtlas consists of two neural network components: one neural netw...
Humans Magnetic Resonance Imaging Head Pressure Neural Networks, Computer Brain
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Machine learning and geometric morphometrics to predict obstructive sleep apnea from 3D craniofacial scans.

Sleep medicine Apr 29, 2022
BACKGROUND: Obstructive sleep apnea (OSA) remains massively underdiagnosed, due to limited access to polysomnography (PSG), the highly complex gold standard for diagnosis. Performance scores in predicting OSA are evaluated for machine learning (ML) a...
Sleep Apnea, Obstructive Head Polysomnography Skull Imaging, Three-Dimensional Mass Screening Cephalometry Middle Aged Surveys and Questionnaires Humans Aged Male Machine Learning
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Labeling Noncontrast Head CT Reports for Common Findings Using Natural Language Processing.

AJNR. American journal of neuroradiology Apr 28, 2022
BACKGROUND AND PURPOSE: Prioritizing reading of noncontrast head CT examinations through an automated triage system may improve time to care for patients with acute neuroradiologic findings. We present a natural language-processing approach for label...
Tomography, X-Ray Computed Natural Language Processing Head Algorithms Retrospective Studies Humans
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Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability.

Sensors (Basel, Switzerland) Apr 26, 2022
In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an essential part of improving machine life, reducing economic losses, and avoiding safety problems caused by machine bearing failures. Most existing bearing fault dia...
Head Neural Networks, Computer Support Vector Machine Data Collection Face
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Deep learning methodology for predicting time history of head angular kinematics from simulated crash videos.

Scientific reports Apr 20, 2022
Head kinematics information is important as it is used to measure brain injury risk. Currently, head kinematics are measured using wearable devices or instrumentation mounted on the head. This paper evaluates the deep learning approach in predicting ...
Head Biomechanical Phenomena Humans Deep Learning Brain Brain Injuries
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Automatic measurement of fetal head circumference using a novel GCN-assisted deep convolutional network.

Computers in biology and medicine Apr 15, 2022
The growth of the fetus can be effectively monitored by measuring the fetal head circumference (HC) in ultrasound images. Moreover, it is the key to assessing the fetus's health. Ultrasound fetal head image boundary is blurred. The ultrasound sound s...
Image Processing, Computer-Assisted Head Skull Neural Networks, Computer Ultrasonography
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SLEAP: A deep learning system for multi-animal pose tracking.

Nature methods Apr 4, 2022
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. While advances in deep learning and computer vision have enabled markerless pose estimatio...
Behavior, Animal Social Behavior Mice Head Machine Learning Animals Algorithms Deep Learning
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Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection.

Computer methods and programs in biomedicine Mar 30, 2022
BACKGROUND AND OBJECTIVE: Intracranial hemorrhage (ICH) is a life-threatening emergency that can lead to brain damage or death, with high rates of mortality and morbidity. The fast and accurate detection of ICH is important for the patient to get an ...
Humans Neural Networks, Computer Head Intracranial Hemorrhages Tomography, X-Ray Computed Normal Distribution
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Convolutional mesh autoencoders for the 3-dimensional identification of FGFR-related craniosynostosis.

Scientific reports Feb 9, 2022
Clinical diagnosis of craniofacial anomalies requires expert knowledge. Recent studies have shown that artificial intelligence (AI) based facial analysis can match the diagnostic capabilities of expert clinicians in syndrome identification. In genera...
Craniosynostoses Face Head Imaging, Three-Dimensional Computer Simulation Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Artificial Intelligence Infant
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Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation.

Scientific reports Jan 31, 2022
Due to their robustness and speed, recently developed deep learning-based methods have the potential to provide a faster and hence more scalable alternative to more conventional neuroimaging analysis pipelines in terms of whole-brain segmentation bas...
Head Neuroimaging Head Movements Young Adult Magnetic Resonance Imaging Deep Learning Female Adult Artifacts Image Processing, Computer-Assisted Reproducibility of Results Male Humans Brain
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