Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
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Title
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
Authors
Keywords
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Journal
Nature Communications
Volume 12, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-05-20
DOI
10.1038/s41467-021-23235-4
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Note: Only part of the references are listed.- Deep convolutional neural networks to predict cardiovascular risk from computed tomography
- (2021) Roman Zeleznik et al. Nature Communications
- Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial
- (2020) Harry J. de Koning et al. NEW ENGLAND JOURNAL OF MEDICINE
- Long‐term causes of death among pediatric patients with cancer
- (2020) Samantha R. Horn et al. CANCER
- Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
- (2020) Sushravya Raghunath et al. NATURE MEDICINE
- Fatal heart disease among cancer patients
- (2020) Kelsey C. Stoltzfus et al. Nature Communications
- Theoretical issues in deep networks
- (2020) Tomaso Poggio et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Unsupervised abnormality detection through mixed structure regularization ( MSR ) in deep sparse autoencoders
- (2019) Moti Freiman et al. MEDICAL PHYSICS
- End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
- (2019) Diego Ardila et al. NATURE MEDICINE
- Diagnostic accuracy of 3D deep-learning-based fully automated estimation of patient-level minimum fractional flow reserve from coronary computed tomography angiography
- (2019) Kanako K Kumamaru et al. European Heart Journal-Cardiovascular Imaging
- Epicardial adipose tissue predicts incident cardiovascular disease and mortality in patients with type 2 diabetes
- (2019) Regitse H. Christensen et al. Cardiovascular Diabetology
- Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT
- (2019) Bob D. de Vos et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A population-based study of cardiovascular disease mortality risk in US cancer patients
- (2019) Kathleen M Sturgeon et al. EUROPEAN HEART JOURNAL
- TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors
- (2019) Matthew Chung Hai Lee et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Impact of Significant Coronary Artery Calcification Reported on Low-Dose Computed Tomography Lung Cancer Screening
- (2019) Dexter P. Mendoza et al. JOURNAL OF THORACIC IMAGING
- Knowledge-Based Analysis for Mortality Prediction From CT Images
- (2019) Hengtao Guo et al. IEEE Journal of Biomedical and Health Informatics
- Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions
- (2018) Nikolas Lessmann et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- An automatic multi-class coronary atherosclerosis plaque detection and classification framework
- (2018) Fengjun Zhao et al. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
- Double-slit photoelectron interference in strong-field ionization of the neon dimer
- (2018) Maksim Kunitski et al. Nature Communications
- Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS
- (2018) Takanori Masuda et al. Journal of Cardiovascular Computed Tomography
- A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography
- (2018) Majd Zreik et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks
- (2016) Jelmer M. Wolterink et al. MEDICAL IMAGE ANALYSIS
- Automatic coronary calcium scoring using noncontrast and contrast CT images
- (2016) Guanyu Yang et al. MEDICAL PHYSICS
- CAD-RADSTM Coronary Artery Disease – Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology
- (2016) Ricardo C. Cury et al. Journal of Cardiovascular Computed Tomography
- Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection
- (2015) Jelmer M. Wolterink et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors
- (2015) Robyn L. McClelland et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Screening for Lung Cancer with Low-Dose CT — Translating Science into Medicare Coverage Policy
- (2015) Joseph Chin et al. NEW ENGLAND JOURNAL OF MEDICINE
- Association of Coronary Artery Calcification and Mortality in the National Lung Screening Trial: A Comparison of Three Scoring Methods
- (2015) Caroline Chiles et al. RADIOLOGY
- Combined detection of coronary artery disease and lung cancer
- (2014) H. S. Hecht et al. EUROPEAN HEART JOURNAL
- Computerized detection of noncalcified plaques in coronary CT angiography: Evaluation of topological soft gradient prescreening method and luminal analysis
- (2014) Jun Wei et al. MEDICAL PHYSICS
- Non-Calcified Coronary Atherosclerotic Plaque Characterization by Dual Energy Computed Tomography
- (2014) Didem Yamak et al. IEEE Journal of Biomedical and Health Informatics
- Automatic Coronary Calcium Scoring in Low-Dose Chest Computed Tomography
- (2012) I. Isgum et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Benefits and Harms of CT Screening for Lung Cancer
- (2012) Peter B. Bach et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening
- (2011) NEW ENGLAND JOURNAL OF MEDICINE
- Pericardial Fat, Visceral Abdominal Fat, Cardiovascular Disease Risk Factors, and Vascular Calcification in a Community-Based Sample
- (2008) Guido A. Rosito et al. CIRCULATION
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