Evaluation of an artificial intelligence coronary artery calcium scoring model from computed tomography

[1]  D. Guo,et al.  Performance of artificial intelligence-based coronary artery calcium scoring in non-gated chest CT. , 2021, European journal of radiology.

[2]  I. V. Van Gelder,et al.  2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. , 2021, European heart journal.

[3]  H. D. de Koning,et al.  Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening. , 2021, JACC. Cardiovascular imaging.

[4]  Ross W. Filice,et al.  Automated coronary calcium scoring using deep learning with multicenter external validation , 2021, npj Digital Medicine.

[5]  S. Liaw,et al.  National Heart Foundation of Australia: position statement on coronary artery calcium scoring for the primary prevention of cardiovascular disease in Australia , 2021, The Medical journal of Australia.

[6]  Michael T. Lu,et al.  Deep convolutional neural networks to predict cardiovascular risk from computed tomography , 2021, Nature Communications.

[7]  Simon S. Martin,et al.  Machine Learning and Coronary Artery Calcium Scoring , 2020, Current Cardiology Reports.

[8]  M. J. Hashim,et al.  Global Epidemiology of Ischemic Heart Disease: Results from the Global Burden of Disease Study , 2020, Cureus.

[9]  M. Viergever,et al.  Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols. , 2020, Radiology.

[10]  A. Persson,et al.  Evaluation of an AI-based, automatic coronary artery calcium scoring software , 2019, European Radiology.

[11]  Simon S. Martin,et al.  Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm. , 2019, JACC. Cardiovascular imaging.

[12]  N. Zhang,et al.  Coronary artery calcium score quantification using a deep-learning algorithm. , 2019, Clinical radiology.

[13]  A. Khera,et al.  2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. , 2019, Journal of the American College of Cardiology.

[14]  V. Fuster,et al.  Artificial Intelligence in Cardiovascular Imaging: JACC State-of-the-Art Review. , 2019, Journal of the American College of Cardiology.

[15]  Nikolas Lessmann,et al.  Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CT , 2019, IEEE Transactions on Medical Imaging.

[16]  Max A. Viergever,et al.  Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions , 2017, IEEE Transactions on Medical Imaging.

[17]  Max A. Viergever,et al.  Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks , 2016, Medical Image Anal..

[18]  R. Kronmal,et al.  Improving the CAC Score by Addition of Regional Measures of Calcium Distribution: Multi-Ethnic Study of Atherosclerosis. , 2016, JACC. Cardiovascular imaging.

[19]  Bob D. de Vos,et al.  An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. , 2016, Medical physics.

[20]  J. Coatrieux,et al.  Automatic coronary calcium scoring using noncontrast and contrast CT images. , 2016, Medical physics.

[21]  R. Kronmal,et al.  10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study). , 2015, Journal of the American College of Cardiology.

[22]  H. Hecht Coronary artery calcium scanning: past, present, and future. , 2015, JACC. Cardiovascular imaging.

[23]  Max A. Viergever,et al.  Automatic Coronary Calcium Scoring in Non-Contrast-Enhanced ECG-Triggered Cardiac CT With Ambiguity Detection , 2015, IEEE Transactions on Medical Imaging.

[24]  Tim Leiner,et al.  Coronary artery calcification scoring with state-of-the-art CT scanners from different vendors has substantial effect on risk classification. , 2014, Radiology.

[25]  Roman Goldenberg,et al.  Fully automatic model-based calcium segmentation and scoring in coronary CT angiography , 2014, International Journal of Computer Assisted Radiology and Surgery.

[26]  Daniel S Berman,et al.  Long-term prognosis associated with coronary calcification: observations from a registry of 25,253 patients. , 2007, Journal of the American College of Cardiology.

[27]  Bram van Ginneken,et al.  Detection of coronary calcifications from computed tomography scans for automated risk assessment of coronary artery disease. , 2007, Medical physics.

[28]  R. Detrano,et al.  Quantification of coronary artery calcium using ultrafast computed tomography. , 1990, Journal of the American College of Cardiology.

[29]  L. V. van Vliet,et al.  Vessel specific coronary artery calcium scoring: an automatic system. , 2013, Academic radiology.