AIMC Topic: Signal-To-Noise Ratio

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Electret-Based Organic Synaptic Transistor for Neuromorphic Computing.

ACS applied materials & interfaces Mar 18, 2020
Neuromorphic computing inspired by the neural systems in human brain will overcome the issue of independent information processing and storage. An artificial synaptic device as a basic unit of a neuromorphic computing system can perform signal proces...
Signal-To-Noise Ratio Polyvinyls Excitatory Postsynaptic Potentials Synapses Transistors, Electronic Humans Neural Networks, Computer
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Human respiration monitoring using infrared thermography and artificial intelligence.

Biomedical physics & engineering express Mar 13, 2020
The respiration rate (RR) is the most vital parameter used for the determination of human health. The most widely adopted techniques, used to monitor the RR are contact in nature and face many drawbacks. This paper reports the use of Infrared Thermog...
Humans Artificial Intelligence Algorithms Signal Processing, Computer-Assisted Body Temperature Respiration Models, Statistical Equipment Design Stochastic Processes Normal Distribution Respiratory Rate Infrared Rays Thermography Signal-To-Noise Ratio Sensitivity and Specificity Male Support Vector Machine Monitoring, Physiologic Adolescent Reproducibility of Results Young Adult Adult Female Temperature
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A convolutional neural network-based model observer for breast CT images.

Medical physics Feb 29, 2020
PURPOSE: In this paper, we propose a convolutional neural network (CNN)-based efficient model observer for breast computed tomography (CT) images.
Breast Tomography, X-Ray Computed Normal Distribution Neural Networks, Computer Image Processing, Computer-Assisted Least-Squares Analysis Signal-To-Noise Ratio
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Need for Cross-Validation of Single Particle Cryo-EM.

Journal of chemical information and modeling Feb 26, 2020
Cross-validation is used to determine the validity of a model on unseen data by assessing if the model is overfitted to noise. It is widely used in many fields, from artificial intelligence to structural biology in X-ray crystallography and nuclear m...
Cryoelectron Microscopy Artificial Intelligence Signal-To-Noise Ratio Crystallography, X-Ray
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Multi-Contrast Super-Resolution MRI Through a Progressive Network.

IEEE transactions on medical imaging Feb 18, 2020
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis, image-guided therapy, and scientific research. A significant advantage of MRI over other imaging modalities such as computed tomography (CT) and nuclear imaging is that it clea...
Neural Networks, Computer Tomography, X-Ray Computed Magnetic Resonance Imaging Signal-To-Noise Ratio
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An Integrated Robotic System for MRI-Guided Neuroablation: Preclinical Evaluation.

IEEE transactions on bio-medical engineering Feb 17, 2020
OBJECTIVE: Treatment of brain tumors requires high precision in order to ensure sufficient treatment while minimizing damage to surrounding healthy tissue. Ablation of such tumors using needle-based therapeutic ultrasound (NBTU) under real-time magne...
Phantoms, Imaging Robotic Surgical Procedures Signal-To-Noise Ratio Humans Animals Magnetic Resonance Imaging Robotics Swine
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PET image super-resolution using generative adversarial networks.

Neural networks : the official journal of the International Neural Network Society Feb 3, 2020
The intrinsically low spatial resolution of positron emission tomography (PET) leads to image quality degradation and inaccurate image-based quantitation. Recently developed supervised super-resolution (SR) approaches are of great relevance to PET bu...
Neural Networks, Computer Magnetic Resonance Imaging Positron-Emission Tomography Image Processing, Computer-Assisted Signal-To-Noise Ratio
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Mu-net: Multi-scale U-net for two-photon microscopy image denoising and restoration.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
Advances in two two-photon microscopy (2PM) have made three-dimensional (3D) neural imaging of deep cortical regions possible. However, 2PM often suffers from poor image quality because of various noise factors, including blur, white noise, and photo...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Microscopy, Fluorescence, Multiphoton Software Imaging, Three-Dimensional Neural Networks, Computer
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A preliminary attempt to visualize nigrosome 1 in the substantia nigra for Parkinson's disease at 3T: An efficient susceptibility map-weighted imaging (SMWI) with quantitative susceptibility mapping using deep neural network (QSMnet).

Medical physics Jan 30, 2020
PURPOSE: Visibility of nigrosome 1 in the substantia nigra (SN) is used as an MR imaging biomarker for Parkinson's disease. Because of lower susceptibility induced tissue contrast and SNR visualization of the SN pars compacta (SNPC) using conventiona...
Substantia Nigra Image Processing, Computer-Assisted Signal-To-Noise Ratio Magnetic Resonance Imaging Humans Parkinson Disease Deep Learning
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Liver lesion localisation and classification with convolutional neural networks: a comparison between conventional and spectral computed tomography.

Biomedical physics & engineering express Jan 30, 2020
PURPOSE: To evaluate the benefit of the additional available information present in spectral CT datasets, as compared to conventional CT datasets, when utilizing convolutional neural networks for fully automatic localisation and classification of liv...
Radiographic Image Interpretation, Computer-Assisted Liver Diseases Radiography, Dual-Energy Scanned Projection Humans Signal-To-Noise Ratio Algorithms Machine Learning Neural Networks, Computer Tomography, X-Ray Computed
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