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zadetkov: 35
1.
  • Prediction of mortality fro... Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
    Raghunath, Sushravya; Ulloa Cerna, Alvaro E; Jing, Linyuan ... Nature medicine, 06/2020, Letnik: 26, Številka: 6
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    The electrocardiogram (ECG) is a widely used medical test, consisting of voltage versus time traces collected from surface recordings over the heart . Here we hypothesized that a deep neural network ...
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2.
  • Deep Neural Networks Can Pr... Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation-Related Stroke
    Raghunath, Sushravya; Pfeifer, John M; Ulloa-Cerna, Alvaro E ... Circulation, 03/2021, Letnik: 143, Številka: 13
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    Atrial fibrillation (AF) is associated with substantial morbidity, especially when it goes undetected. If new-onset AF could be predicted, targeted screening could be used to find it early. We ...
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3.
  • Automated Quantitative Computed Tomography Versus Visual Computed Tomography Scoring in Idiopathic Pulmonary Fibrosis: Validation Against Pulmonary Function
    Jacob, Joseph; Bartholmai, Brian J; Rajagopalan, Srinivasan ... Journal of thoracic imaging, 2016-September, Letnik: 31, Številka: 5
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    The aim of the study was to determine whether a novel computed tomography (CT) postprocessing software technique (CALIPER) is superior to visual CT scoring as judged by functional correlations in ...
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4.
  • Noninvasive Computed Tomogr... Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial
    Maldonado, Fabien; Duan, Fenghai; Raghunath, Sushravya M ... American journal of respiratory and critical care medicine, 2015-Sep-15, Letnik: 192, Številka: 6
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    Screening for lung cancer using low-dose computed tomography (CT) reduces lung cancer mortality. However, in addition to a high rate of benign nodules, lung cancer screening detects a large number of ...
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5.
  • Quantitative computed tomog... Quantitative computed tomography imaging of interstitial lung diseases
    Bartholmai, Brian J; Raghunath, Sushravya; Karwoski, Ronald A ... Journal of thoracic imaging 28, Številka: 5
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    High-resolution chest computed tomography (HRCT) is essential in the characterization of interstitial lung disease. The HRCT features of some diseases can be diagnostic. Longitudinal monitoring with ...
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6.
  • A Machine Learning Approach... A Machine Learning Approach to Management of Heart Failure Populations
    Jing, Linyuan; Ulloa Cerna, Alvaro E.; Good, Christopher W. ... JACC. Heart failure, July 2020, 2020-07-00, 20200701, Letnik: 8, Številka: 7
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    Heart failure is a prevalent, costly disease for which new value-based payment models demand optimized population management strategies. This study sought to generate a strategy for managing ...
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7.
  • Deep-learning-assisted anal... Deep-learning-assisted analysis of echocardiographic videos improves predictions of all-cause mortality
    Ulloa Cerna, Alvaro E; Jing, Linyuan; Good, Christopher W ... Nature biomedical engineering, 06/2021, Letnik: 5, Številka: 6
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    Machine learning promises to assist physicians with predictions of mortality and of other future clinical events by learning complex patterns from historical data, such as longitudinal electronic ...
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8.
  • Pulmonary nodule characterization, including computer analysis and quantitative features
    Bartholmai, Brian J; Koo, Chi Wan; Johnson, Geoffrey B ... Journal of thoracic imaging, 2015-March, Letnik: 30, Številka: 2
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    Pulmonary nodules are commonly detected in computed tomography (CT) chest screening of a high-risk population. The specific visual or quantitative features on CT or other modalities can be used to ...
Preverite dostopnost
9.
  • Quantitative stratification... Quantitative stratification of diffuse parenchymal lung diseases
    Raghunath, Sushravya; Rajagopalan, Srinivasan; Karwoski, Ronald A ... PloS one, 03/2014, Letnik: 9, Številka: 3
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    Diffuse parenchymal lung diseases (DPLDs) are characterized by widespread pathological changes within the pulmonary tissue that impair the elasticity and gas exchange properties of the lungs. ...
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10.
  • Computer-Aided Nodule Asses... Computer-Aided Nodule Assessment and Risk Yield Risk Management of Adenocarcinoma: The Future of Imaging?
    Foley, Finbar; Rajagopalan, Srinivasan; Raghunath, Sushravya M. ... Seminars in thoracic and cardiovascular surgery, 2016-Spring, Letnik: 28, Številka: 1
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    Increased clinical use of chest high-resolution computed tomography results in increased identification of lung adenocarcinomas and persistent subsolid opacities. However, these lesions range from ...
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zadetkov: 35

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