AIMC Topic: Humans

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Deep Learning-Based Detection of Intracranial Aneurysms in 3D TOF-MRA.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: The rupture of an intracranial aneurysm is a serious incident, causing subarachnoid hemorrhage associated with high fatality and morbidity rates. Because the demand for radiologic examinations is steadily growing, physician fa...
Deep Learning Imaging, Three-Dimensional Neuroimaging Sensitivity and Specificity Male Middle Aged Magnetic Resonance Angiography Intracranial Aneurysm Humans Retrospective Studies Female Aged Adult
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Radiomics-Based Intracranial Thrombus Features on CT and CTA Predict Recanalization with Intravenous Alteplase in Patients with Acute Ischemic Stroke.

AJNR. American journal of neuroradiology Dec 20, 2018
BACKGROUND AND PURPOSE: Thrombus characteristics identified on non-contrast CT (NCCT) are potentially associated with recanalization with intravenous (IV) alteplase in patients with acute ischemic stroke (AIS). Our aim was to determine the best radio...
Tomography, X-Ray Computed Female Aged Male Humans Tissue Plasminogen Activator Image Interpretation, Computer-Assisted Neuroimaging Computed Tomography Angiography Treatment Outcome Middle Aged Intracranial Thrombosis Support Vector Machine Case-Control Studies Stroke ROC Curve
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PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

PloS one Dec 20, 2018
Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) of Malaysia and other developing countries. Brown Planthopper (BPH) causes high levels of economic loss in Malaysia. Identification of BPH presence and...
Electronic Data Processing Insect Control Agriculture Oryza Humans Environmental Monitoring Insecta Malaysia Neural Networks, Computer Pattern Recognition, Automated Software Algorithms Animals Deep Learning
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PET Image Reconstruction Using Deep Image Prior.

IEEE transactions on medical imaging Dec 19, 2018
Recently, deep neural networks have been widely and successfully applied in computer vision tasks and have attracted growing interest in medical imaging. One barrier for the application of deep neural networks to medical imaging is the need for large...
Phantoms, Imaging Image Processing, Computer-Assisted Unsupervised Machine Learning Positron-Emission Tomography Algorithms Brain Deep Learning Humans
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Deep Learning in Image Cytometry: A Review.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Dec 19, 2018
Artificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and how it is ap...
Animals Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Artificial Intelligence Machine Learning Microscopy Image Cytometry
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Introduction.

International journal of neural systems Dec 19, 2018
Machine Learning Biomedical Research Big Data Neurosciences Humans
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A Deep Neural Network-based method for estimation of 3D lifting motions.

Journal of biomechanics Dec 19, 2018
The aim of this study is developing and validating a Deep Neural Network (DNN) based method for 3D pose estimation during lifting. The proposed DNN based method addresses problems associated with marker-based motion capture systems like excessive pre...
Movement Lifting Humans Middle Aged Deep Learning Biomechanical Phenomena Shoulder Male
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Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.

Medical image analysis Dec 19, 2018
Synthesized medical images have several important applications. For instance, they can be used as an intermedium in cross-modality image registration or used as augmented training samples to boost the generalization capability of a classifier. In thi...
Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Mammography Image Interpretation, Computer-Assisted
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MRI-compatible pneumatic stimulator for sensorimotor mapping.

Journal of neuroscience methods Dec 19, 2018
BACKGROUND: Two major concerns with respect to task-based motor functional magnetic resonance imaging (fMRI) are inadequate participants' performance as well as intra- and inter-subject variability in execution of the motor action.
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Female Young Adult Adult Male Middle Aged Magnetic Resonance Imaging Movement Brain Mapping Humans Sensorimotor Cortex Robotics Fingers
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Dual-mode artificially-intelligent diagnosis of breast tumours in shear-wave elastography and B-mode ultrasound using deep polynomial networks.

Medical engineering & physics Dec 19, 2018
The main goal of this study is to build an artificial intelligence (AI) architecture for automated extraction of dual-modal image features from both shear-wave elastography (SWE) and B-mode ultrasound, and to evaluate the AI architecture for classifi...
Artificial Intelligence Machine Learning Breast Neoplasms Elasticity Imaging Techniques Image Processing, Computer-Assisted Humans Ultrasonography, Mammary
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