AIMC Topic: Pattern Recognition, Automated

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Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering.

Medical image analysis Jan 11, 2020
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agents. Interventional cardiologists typically navigate instruments using n...
Fluoroscopy Percutaneous Coronary Intervention Motion Pattern Recognition, Automated Radiography, Interventional Respiratory Mechanics Respiratory-Gated Imaging Techniques Humans Deep Learning Bayes Theorem Radiographic Image Interpretation, Computer-Assisted
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Automated screening of natural language in electronic health records for the diagnosis septic shock is feasible and outperforms an approach based on explicit administrative codes.

Journal of critical care Jan 9, 2020
PURPOSE: Identification of patients for epidemiologic research through administrative coding has important limitations. We investigated the feasibility of a search based on natural language processing (NLP) on the text sections of electronic health r...
Humans Software Databases, Factual International Classification of Diseases Middle Aged Hospitalization Incidence Young Adult Shock, Septic Prospective Studies Adult Predictive Value of Tests Intensive Care Units Sensitivity and Specificity Natural Language Processing Electronic Health Records Epidemiologic Studies Female Pattern Recognition, Automated False Positive Reactions
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How much are we exposed to alcohol in electronic media? Development of the Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA).

Drug and alcohol dependence Jan 9, 2020
BACKGROUND: Evidence demonstrates that seeing alcoholic beverages in electronic media increases alcohol initiation and frequent and excessive drinking, particularly among young people. To efficiently assess this exposure, the aim was to develop the A...
Male Deep Learning Adolescent Wine Algorithms Female Reproducibility of Results Adult Beer Pattern Recognition, Automated Alcohol Drinking Alcoholic Beverages Mass Media Humans
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Attention-guided CNN for image denoising.

Neural networks : the official journal of the International Neural Network Society Jan 7, 2020
Deep convolutional neural networks (CNNs) have attracted considerable interest in low-level computer vision. Researches are usually devoted to improving the performance via very deep CNNs. However, as the depth increases, influences of the shallow la...
Neural Networks, Computer Pattern Recognition, Automated Signal-To-Noise Ratio
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Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jan 7, 2020
PURPOSE: It is vital to appropriately power clinical trials towards discovery of novel disease-modifying therapies for Parkinson's disease (PD). Thus, it is critical to improve prediction of outcome in PD patients.
Computer Simulation Female Reproducibility of Results Aged Humans Machine Learning Algorithms Treatment Outcome Parkinson Disease Pattern Recognition, Automated Tomography, Emission-Computed, Single-Photon Dopamine Plasma Membrane Transport Proteins Aged, 80 and over Adult Male Middle Aged
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Neural Network Ensembles for Sensor-Based Human Activity Recognition Within Smart Environments.

Sensors (Basel, Switzerland) Dec 30, 2019
In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-driven approaches rely on good quality data during training, however, a shortage of high quality, large-scale, and accurately annotated HAR datasets exists fo...
Databases as Topic Pattern Recognition, Automated Human Activities Environment Humans Neural Networks, Computer Models, Theoretical Support Vector Machine
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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.

Computational and mathematical methods in medicine Dec 30, 2019
Magnetic resonance (MR) imaging is a widely used imaging modality for detection of brain anatomical variations caused by brain diseases such as Alzheimer's disease (AD) and mild cognitive impairment (MCI). AD considered as an irreversible neurodegene...
Linear Models Pattern Recognition, Automated Aged Neuroimaging Discriminant Analysis Diagnosis, Computer-Assisted Biomarkers Male Humans Alzheimer Disease Cognitive Dysfunction Brain Machine Learning Middle Aged Positron-Emission Tomography Image Processing, Computer-Assisted Female Algorithms Disease Progression Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Reproducibility of Results Databases, Factual
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A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition.

Sensors (Basel, Switzerland) Dec 28, 2019
Speech is the most significant mode of communication among human beings and a potential method for human-computer interaction (HCI) by using a microphone sensor. Quantifiable emotion recognition using these sensors from speech signals is an emerging ...
Humans Neural Networks, Computer Speech Emotions Signal Processing, Computer-Assisted Sound Spectrography Databases as Topic Pattern Recognition, Automated Auditory Perception
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A Deep Transfer Learning Approach to Reducing the Effect of Electrode Shift in EMG Pattern Recognition-Based Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 25, 2019
An important barrier to commercialization of pattern recognition myoelectric control of prostheses is the lack of robustness to confounding factors such as electrode shift, skin impedance variations, and learning effects. To overcome this challenge, ...
Transfer, Psychology Wrist Electromyography Artificial Limbs Electrodes Healthy Volunteers Pattern Recognition, Automated Calibration Movement Adult Humans Male Neural Networks, Computer Deep Learning Female Support Vector Machine
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Multilevel and Multiscale Feature Aggregation in Deep Networks for Facial Constitution Classification.

Computational and mathematical methods in medicine Dec 20, 2019
Constitution classification is the basis and core content of TCM constitution research. In order to improve the accuracy of constitution classification, this paper proposes a multilevel and multiscale features aggregation method within the convolutio...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Principal Component Analysis Machine Learning Face Algorithms Pattern Recognition, Automated China
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