Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography
Tài liệu tham khảo
Lang, 2015, Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging, Eur Heart J Cardiovasc Imaging, 16, 233, 10.1093/ehjci/jev014
Farsalinos, 2015, Head-to-head comparison of global longitudinal strain measurements among nine different vendors: the EACVI/ASE Inter-Vendor Comparison Study, J Am Soc Echocardiogr, 28, 1171, 10.1016/j.echo.2015.06.011
Litjens, 2019, State-of-the-art deep learning in cardiovascular image analysis, J Am Coll Cardiol Img, 12, 1549, 10.1016/j.jcmg.2019.06.009
LeCun, 2015, Deep learning, Nature, 521, 436, 10.1038/nature14539
Madani, 2018, Fast and accurate view classification of echocardiograms using deep learning, NPJ Digit Med, 1, 1, 10.1038/s41746-017-0013-1
Østvik, 2019, Real-time standard view classification in transthoracic echocardiography using convolutional neural networks, Ultrasound Med Biol, 45, 374, 10.1016/j.ultrasmedbio.2018.07.024
Meidell Fiorito, 2018, Detection of cardiac events in echocardiography using 3D convolutional recurrent neural networks. 2018 IEEE International Ultrasonics Symposium (IUS), Kobe, 1
Chen, 2020, Deep learning for cardiac image segmentation: a review, Front Cardiovasc Med, 7, 1, 10.3389/fcvm.2020.00025
Østvik, 2021, Myocardial function imaging in echocardiography using deep learning, IEEE Trans Med Imaging, 40, 1340, 10.1109/TMI.2021.3054566
Thygesen, 2012, Third universal definition of myocardial infarction, Eur Heart J, 33, 2551, 10.1093/eurheartj/ehs184
Galderisi, 2017, Eur Heart J Cardiovasc Imaging, 18, 1301, 10.1093/ehjci/jex244
Voigt, 2015, Definitions for a common standard for 2D speckle tracking echocardiography: consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging, Eur Heart J Cardiovasc Imaging, 16, 1, 10.1093/ehjci/jeu184
Leclerc, 2019, Deep learning for segmentation using an open large-scale dataset in 2D echocardiography, IEEE Trans Med Imaging, 38, 2198, 10.1109/TMI.2019.2900516
Alessandrini, 2018, Realistic vendor-specific synthetic ultrasound data for quality assurance of 2-D speckle tracking echocardiography: simulation pipeline and open access database, IEEE Trans Ultrason Ferroelectr Freq Control, 65, 411, 10.1109/TUFFC.2017.2786300
Bland, 1986, Statistical methods for assessing agreement between two methods of clinical measurement, Lancet, 1, 307, 10.1016/S0140-6736(86)90837-8
Shieh, 2018, The appropriateness of Bland-Altman's approximate confidence intervals for limits of agreement, BMC Med Res Methodol, 18, 1, 10.1186/s12874-018-0505-y
Barbier, 2015, Reliability and feasibility of longitudinal AFI global and segmental strain compared with 2D left ventricular volumes and ejection fraction: intra- and inter-operator, test-retest, and inter-cycle reproducibility, Eur Heart J Cardiovasc Img, 16, 642, 10.1093/ehjci/jeu274
Manovel, 2010, Assessment of left ventricular function by different speckle-tracking software, Eur J Echocardiogr, 11, 417, 10.1093/ejechocard/jep226
Asch, 2019, Automated echocardiographic quantification of left ventricular ejection fraction without volume measurements using a machine learning algorithm mimicking a human expert, Circ Cardiovasc Img, 12, 10.1161/CIRCIMAGING.119.009303
Ghorbani, 2020, Deep learning interpretation of echocardiograms, NPJ Digital Med, 3, 1, 10.1038/s41746-019-0216-8
Nagata, 2015, Intervendor variability of two-dimensional strain using vendor-specific and vendor-independent software, J Am Soc Echocardiogr, 28, 630, 10.1016/j.echo.2015.01.021
Anwar, 2017, Comparison of two-dimensional strain analysis using vendor-independent and vendor-specific software in adult and pediatric patients, JRSM Cardiovasc Dis, 6, 1
Zhang, 2018, Fully automated echocardiogram interpretation in clinical practice, Circulation, 138, 1623, 10.1161/CIRCULATIONAHA.118.034338
Baron, 2019, Test-retest reliability of new and conventional echocardiographic parameters of left ventricular systolic function, Clin Res Cardiol, 108, 355, 10.1007/s00392-018-1363-7