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Segmentation of the left ventricle (LV) from cardiac magnetic resonance imaging (MRI) datasets is an essential step for calculation of clinical indices such as ventricular volume and ejection fraction.
Embedding overlap priors in variational left ventricle tracking
Ben Ayed, I., Li, S., Ross, I., 2009 · 1913
Earlier work this paper cites.
On information and sufficiency
Kullback, S., Leibler, R.A., 1951 · 1951
Earlier work this paper cites.
Statistical methods for assessing agreement between two methods of clinical measurement
Bland, J.M., Altman, D., 1986 · 1986
Earlier work this paper cites.
Active contours without edges
Chan, T., Vese, L., 2001 · 2001
Earlier work this paper cites.
Three-dimensional modeling for functional analysis of cardiac images, a review
Frangi, A.F., Niessen, W., Viergever, M., 2001 · 2001
Earlier work this paper cites.
Contrast-enhanced high resolution MRI for atherosclerotic carotid artery tissue characterization
Yuan, C., Kerwin, W.S., Ferguson, M.S., Polissar, N., Zhang, S., Cai, J., Hatsukami, T.S., 2002 · 2002
Earlier work this paper cites.
A graphical model framework for coupling MRFs and deformable models
Huang, R., Pavlovic, V., Metaxas, D.N., 2004 · 2004
Earlier work this paper cites.
Cardiovascular magnetic resonance imaging: Current and emerging applications
Lima, J.C., Desai, M.Y., 2004 · 2004
Earlier work this paper cites.
Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm
Lorenzo-Valdés, M., Sanchez-Ortiz, G.I., Elkington, A.G., Mohiaddin, R.H., Rueckert, D., 2004 · 2004
Earlier work this paper cites.
Correction of movement artifacts from 4-d cardiac short-and long-axis mr data, in: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2004. Springer, pp. 405–412
Lötjönen, J., Pollari, M., Kivistö, S., Lauerma, K., 2004 · 2004
Earlier work this paper cites.
Stacs: New active contour scheme for cardiac MR image segmentation
Pluempitiwiriyawej, C., Moura, J.M.F., Wu, Y.J.L., Ho, C., 2005 · 2005
Earlier work this paper cites.
Spasm: A 3d-asm for segmentation of sparse and arbitrarily oriented cardiac MRI data
Assen, H.C., Danilouchkine, M.G., Frangi, A.F., Ordás, S., Westenberg, J.J., Reiber, J.H., Lelieveldt, B.P., 2006 · 2006
Earlier work this paper cites.
Correction of misalignment artifacts among 2-D cardiac mr images in 3-D space, in: First International Workshop on Computer Vision for Intravascular and Intracardiac Imaging, MICCAI 2006, pp. 114–121
Barajas, J., Caballero, K.L., Barnés, J.G., Carreras, F., Pujadas, S., Radeva, P., 2006 · 2006
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
Hinton, G.E., Salakhutdinov, R.R., 2006 · 2006
Earlier work this paper cites.
Automatic cardiac MRI myocardium segmentation using graphcut, International Society for Optics and Photonics. pp. 61440A–61440A
Kedenburg, G., Cocosco, C.A., Köthe, U., Niessen, W.J., Vonken, E.P.A., Viergever, M.A., 2006 · 2006
Earlier work this paper cites.
Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI, Springer, pp. 409–416
Babalola, K.O., Patenaude, B., Aljabar, P., Schnabel, J., Kennedy, D., Crum, W., Smith, S., Cootes, T.F., Jenkinson, M., Rueckert, D., 2008 · 2008
Earlier work this paper cites.
Correction of misaligned slices in multi-slice cardiovascular magnetic resonance using slice-to-volume registration
Chandler, A.G., Pinder, R.J., Netsch, T., Schnabel, J.A., Hawkes, D.J., Hill, D.L., Razavi, R., 2008 · 2008
Earlier work this paper cites.
Automatic image-driven segmentation of the ventricles in cardiac cine MRI
Cocosco, C.A., Niessen, W.J., Netsch, T., Vonken, E.J., Lund, G., Stork, A., Viergever, M.A., 2008 · 2008
Earlier work this paper cites.
Methods of artificial enlargement of the training set for statistical shape models
Koikkalainen, J., Tolli, T., Lauerma, K., Antila, K., Mattila, E., Lilja, M., Lotjonen, J., 2008 · 2008
Earlier work this paper cites.
Extracting and composing robust features with denoising autoencoders
Vincent, P., Larochelle, H., Bengio, Y., Manzagol, P.A., 2008 · 2008
Earlier work this paper cites.
Robust registration between cardiac MRI images and atlas for segmentation propagation, International Society for Optics and Photonics. pp. 691408–691408
Zhuang, X., Hawkes, D.J., Crum, W.R., Boubertakh, R., Uribe, S., Atkinson, D., Batchelor, P., Schaeffter, T., Razavi, R., Hill, D.L.G., 2008 · 2008
Cited alongside, same era.
Learning deep architectures for AI
Bengio, Y., 2009 · 2009
Cited alongside, same era.
Cardiac motion recovery and boundary conditions estimation by coupling an electromechanical model and cine-mri data
Billet, F., Sermesant, M., Delingette, H., Ayache, N., 2009 · 2009
Cited alongside, same era.
Active shape modeling with electric flows
Chang, H.H., Valentino, D.J., Chu, W.C., 2010 · 2009
Cited alongside, same era.
Performance measure characterization for evaluating neuroimage segmentation algorithms
Chang, H.H., Zhuang, A.H., Valentino, D.J., Chu, W.C., 2009 · 2009
Cited alongside, same era.
Fully automated segmentation of the left ventricle applied to cine MR images: Description and results on a database of 45 subjects, pp. 3207–3210
Constantinides, C., Roullot, E., Lefort, M., Frouin, F., 2012 · 2012
Later among the works it cites.
Imagenet classification with deep convolutional neural networks, pp. 1097–1105
Krizhevsky, A., Sutskever, I., Hinton, G.E., 2012 · 2012
Later among the works it cites.
Automatic left ventricle segmentation in cardiac MRI using topological stable-state thresholding and region restricted dynamic programming
Liu, H., Hu, H., Xu, X., Song, E., 2012 · 2012
Later among the works it cites.
Layered spatio-temporal forests for left ventricle segmentation from 4d cardiac mri data
Margeta, J., Geremia, E., Criminisi, A., Ayache, N., 2012 · 2012
Later among the works it cites.
Representation learning: A review and new perspectives
Bengio, Y., Courville, A., Vincent, P., 2013 · 2013
Later among the works it cites.
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Increased discrimination in level set methods with embedded conditional random fields
Cobzas, D., Schmidt, M., 2009 · 2009
Cited alongside, same era.
Statistical shape models for 3d medical image segmentation: A review
Heimann, T., Meinzer, H.P., 2009 · 2009
Cited alongside, same era.
Fully automatic left ventricle segmentation in cardiac cine MR images using registration and minimum surfaces
Jolly, M., 2009 · 2009
Cited alongside, same era.
Combining registration and minimum surfaces for the segmentation of the left ventricle in cardiac cine MR images, Springer Berlin Heidelberg. volume 5762, pp. 910–918
Jolly, M., Xue, H., Grady, L., Guehring, J., 2009 · 2009
Cited alongside, same era.
Random forest classification for automatic delineation of myocardium in real-time 3d echocardiography
Lempitsky, V., Verhoek, M., Noble, J.A., Blake, A., 2009 · 2009
Cited alongside, same era.
Evaluation framework for algorithms segmenting short axis cardiac MRI
Radau, P., Lu, Y., Connelly, K., Paul, G., Dick, A., Wright, G., 2009 · 2009
Cited alongside, same era.
A theoretical analysis of feature pooling in visual recognition
Boureau, Y.L., Ponce, J., LeCun, Y., 2010 · 2010
Cited alongside, same era.
Left ventricular segmentation from MRI datasets with edge modelling conditional random fields
Dreijer, J., Herbst, B., du Preez, J., 2013 · 2013
Later among the works it cites.
Segmentation by retrieval with guided random walks: Application to left ventricle segmentation in MRI
Eslami, A., Karamalis, A., Katouzian, A., Navab, N., 2013 · 2013
Later among the works it cites.
Hybrid segmentation of left ventricle in cardiac MRI using gaussian-mixture model and region restricted dynamic programming
Hu, H., Liu, H., Gao, Z., Huang, L., 2013 · 2013
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Deep neural networks for object detection
Szegedy, C., Toshev, A., Erhan, D., 2013 · 2013
Later among the works it cites.
A survey of shaped-based registration and segmentation techniques for cardiac images
Tavakoli, V., Amini, A.A., 2013 · 2013
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Nearly automated motion artifacts correction between multi breath-hold short-axis and long-axis cine cmr images
Carminati, M.C., Maffessanti, F., Caiani, E.G., 2014 · 2014
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Deep Learning: Methods and Applications
Deng, L., Yu, D., 2014 · 2014
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Fully automated non-rigid segmentation with distance regularized level set evolution initialized and constrained by deep-structured inference, pp. 3118–3125
Ngo, T.A., Carneiro, G., 2014 · 2014
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Fast automatic myocardial segmentation in 4d cine CMR datasets
Queiros, S., Barbosa, D., Heyde, B., Morais, P., Vilaca, J.L., Friboulet, D., Bernard, O., D’hooge, J., 2014 · 2014
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Overfeat: Integrated recognition, localization and detection using convolutional networks
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y., 2014 · 2014
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A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
Suinesiaputra, A., Cowan, B.R., Al-Agamy, A.O., Elattar, M.A., Ayache, N., Fahmy, A.S., Khalifa, A.M., Gracia, P.M., Jolly, M.P., Kadish, A.H., Lee, D.C., Margeta, J., Warfield, S.K., Young, A.A., 2014 · 2014
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Deep learning
LeCun, Y., Bengio, Y., Hinton, G., 2015 · 2015
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Motion corrected lv quantification based on 3d modelling for improved functional assessment in cardiac mri
Liew, Y., McLaughlin, R., Chan, B., Aziz, Y.A., Chee, K., Ung, N., Tan, L., Lai, K., Ng, S., Lim, E., 2015 · 2015
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the deep learning tutorial
Ng, A., accessed July., 2015 · 2015
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Right ventricle segmentation from cardiac mri: A collation study
Petitjean, C., Zuluaga, M.A., Bai, W., Dacher, J.N., Grosgeorge, D., Caudron, J., Ruan, S., Ayed, I.B., Cardoso, M.J., Chen, H.C., Jimenez-Carretero, D., Ledesma-Carbayo, M.J., Davatzikos, C., Doshi, J., Erus, G., Maier, O.M., Nambakhsh, C.M., Ou, Y., Ourselin, S., Peng, C.W., Peters, N.S., Peters, T.M., Rajchl, M., Rueckert, D., Santos, A., Shi, W., Wang, C.W., Wang, H., Yuan, J., 2015 · 2015
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