AIMC Topic: Computer Systems

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Real-time coronary artery stenosis detection based on modern neural networks.

Scientific reports Apr 7, 2021
Invasive coronary angiography remains the gold standard for diagnosing coronary artery disease, which may be complicated by both, patient-specific anatomy and image quality. Deep learning techniques aimed at detecting coronary artery stenoses may fac...
Feasibility Studies Coronary Stenosis Male Middle Aged Deep Learning Computer Systems Algorithms Coronary Angiography Female Radiographic Image Interpretation, Computer-Assisted Aged Humans Neural Networks, Computer
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Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

IEEE transactions on neural networks and learning systems Apr 2, 2021
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural networks. In recent years, Bayesian neural networks (BNNs) have drawn tremendous attention to artif...
Neural Networks, Computer Artificial Intelligence Software Humans Computer Systems Bayes Theorem Memory Software Validation Algorithms Computers Deep Learning
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Vision and RTLS Safety Implementation in an Experimental Human-Robot Collaboration Scenario.

Sensors (Basel, Switzerland) Apr 1, 2021
Human-robot collaboration is becoming ever more widespread in industry because of its adaptability. Conventional safety elements are used when converting a workplace into a collaborative one, although new technologies are becoming more widespread. Th...
Humans Computer Systems Robotics Workplace Industry
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Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System.

Journal of healthcare engineering Mar 22, 2021
Multilabel recognition of morphological images and detection of cancerous areas are difficult to locate in the scenario of the image redundancy and less resolution. Cancerous tissues are incredibly tiny in various scenarios. Therefore, for automatic ...
Algorithms Computers Female Humans Neural Networks, Computer Machine Learning Rats Breast Neoplasms Animals Computer Systems
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Towards real-time photorealistic 3D holography with deep neural networks.

Nature Mar 10, 2021
The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human-computer interaction, education and training. Computer-generated holography (CGH) enables high-spatio-a...
Augmented Reality Microscopy Datasets as Topic Time Factors Printing, Three-Dimensional Color Holography Computer Graphics Optical Tweezers Neural Networks, Computer Animals Deep Learning Computer Systems Virtual Reality
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Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension.

Clinical journal of the American Society of Nephrology : CJASN Feb 11, 2021
BACKGROUND AND OBJECTIVES: Intradialytic hypotension has high clinical significance. However, predicting it using conventional statistical models may be difficult because several factors have interactive and complex effects on the risk. Herein, we ap...
Aged Male Middle Aged Deep Learning Renal Dialysis Computer Systems Forecasting Retrospective Studies Female Humans Models, Theoretical Hypotension Random Allocation
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A Survey of the Usages of Deep Learning for Natural Language Processing.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief introduction to the field and a quick overview of deep learning archite...
Surveys and Questionnaires Computer Systems Natural Language Processing Linguistics Humans Neural Networks, Computer Deep Learning
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Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Channel pruning is an effective technique that has been widely applied to deep neural network compression. However, many existing methods prune from a pretrained model, thus resulting in repetitious pruning and fine-tuning processes. In this article,...
Data Compression Computer Systems Image Processing, Computer-Assisted Pattern Recognition, Automated Algorithms Databases, Factual Deep Learning Neural Networks, Computer Artificial Intelligence Humans
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Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Anginal symptoms can connote increased cardiac risk and a need for change in cardiovascular management. In this study, a pre-trained transformer architecture was used to automatically detect and characterize anginal symptoms from within the history o...
Natural Language Processing Chest Pain Data Collection Documentation Physicians, Primary Care Angina Pectoris Middle Aged Computer Systems Primary Health Care Humans Electronic Health Records Male
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A new precision medicine initiative at the dawn of exascale computing.

Signal transduction and targeted therapy Jan 6, 2021
Which signaling pathway and protein to select to mitigate the patient's expected drug resistance? The number of possibilities facing the physician is massive, and the drug combination should fit the patient status. Here, we briefly review current app...
Computer Systems Models, Biological Humans Artificial Intelligence Precision Medicine
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