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Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function.
Statistical methods for assessing agreement between two methods of clinical measurement
Bland, J.M., Altman, D.: · 1986
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Snakes: Active contour models
Kass, M., Witkin, A., Terzopoulos, D.: · 1988
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Stacs: New active contour scheme for cardiac MR image segmentation
Pluempitiwiriyawej, C., et al.: · 2005
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Cardiac segmentation by a velocity-aided active contour model
Choa, J., Benkeserb, P.J.: · 2006
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3d heart segmentation and volumetry using deformable shape models
Schwarz, T., Heimann, T., Wolf, I., Meinzer, H.: · 2007
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A review of segmentation methods in short axis cardiac mr images
Petitjean, C., Dacher, J.N.: · 2011
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Random search for hyper-parameter optimization
Bergstra, J., Bengio, Y.: · 2012
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A geodesic-active-contour-based variational model for short-axis cardiac MRI segmentation
Zhu, W., et al.: · 2013
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Adam: A method for stochastic optimization
Kingma, D., Ba, J.: · 2014
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Noh, H., Hong, S., Han, B.: · 2015
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., Brox, T.: · 2015
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Multi-scale context aggregation by dilated convolutions
Yu, F., Koltun, V.: · 2015
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Quantification of lv function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours
A fully convolutional neural network for cardiac segmentation in short-axis MRI
Tran, P.V.: · 2016
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DeepVentricle: Automated cardiac MRI ventricle segmentation using deep learning
Lau, H.K., et al.: · 2016
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Enet: A deep neural network architecture for real-time semantic segmentation
Paszke, A., Chaurasia, A., et al.: · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Abadi, M., et al.: · 2016
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Suinesiaputra, A., et al.: · 2015
Cited alongside, same era.
A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
Peng, P., Lekadir, K., Gooya, A., Shao, L., Petersen, S.E., Frangi, A.F.: · 2016
Cited alongside, same era.
Arterys cardio dl
Food and Drug Administration: · 2017
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Mordvintsev, A., et al.: · 2017
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