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Deep fully convolutional neural network (FCN) based architectures have shown great potential in medical image segmentation.
Dropout: a simple way to prevent neural networks from overfitting
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Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac mr images
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A level set approach for shape-driven segmentation and tracking of the left ventricle
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Automated segmentation of the left ventricle in cardiac mri
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Segmentation of 4d cardiac mr images using a probabilistic atlas and the em algorithm
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Statistical shape model of atria, ventricles and epicardium from short-and long-axis mr images
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Model-based graph cut method for segmentation of the left ventricle
Lin X, Cowan B, Young A · 2005
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A new automated technique for left-and right-ventricular segmentation in magnetic resonance imaging
Katouzian A, Prakash A, Konofagou E · 2006
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Automatic segmentation of the left ventricle cavity and myocardium in mri data
Lynch M, Ghita O, Whelan PF · 2006
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Automated left ventricular segmentation in cardiac mri
Pednekar A, Kurkure U, Muthupillai R, Flamm S, Kakadiaris IA · 2006
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Time continuous tracking and segmentation of cardiovascular magnetic resonance images using multidimensional dynamic programming
Üzümcü M, van der Geest RJ, Swingen C, Reiber JH, Lelieveldt BP · 2006
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Spasm: a 3d-asm for segmentation of sparse and arbitrarily oriented cardiac mri data
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An automated myocardial segmentation in cardiac mri
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A statistical shape model of the heart and its application to model-based segmentation
Ordas S, Oubel E, Leta R, Carreras F, Frangi AF · 2007
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Left ventricle tracking using overlap priors
Ayed IB, Lu Y, Li S, Ross I · 2008
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Automatic image-driven segmentation of the ventricles in cardiac cine mri
Cocosco CA, Niessen WJ, Netsch T, Vonken Ej, Lund G, Stork A, Viergever MA · 2008
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3d segmentation in the clinic: a grand challenge ii-liver tumor segmentation
Deng X, Du G · 2008
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Comprehensive segmentation of cine cardiac mr images
Fradkin M, Ciofolo C, Mory B, Hautvast G, Breeuwer M · 2008
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Segmentation of the left ventricle of the heart in 3-d+ t mri data using an optimized nonrigid temporal model
Lynch M, Ghita O, Whelan PF · 2008
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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
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The role of cardiovascular magnetic resonance imaging in heart failure
Karamitsos TD, Francis JM, Myerson S, Selvanayagam JB, Neubauer S · 2009
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Segmentation of left ventricle in cardiac cine mri: An automatic image-driven method
Lu Y, Radau P, Connelly K, Dick A, Wright GA · 2009
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Evaluation framework for algorithms segmenting short axis cardiac mri
Radau P, Lu Y, Connelly K, Paul G, Dick A, Wright G · 2009
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Segmentation of 4d cardiac mri: Automated method based on spatio-temporal watershed cuts
Cousty J, Najman L, Couprie M, Clément-Guinaudeau S, Goissen T, Garot J · 2010
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In-line automated tracking for ventricular function with magnetic resonance imaging
Li B, Liu Y, Occleshaw CJ, Cowan BR, Young AA · 2010
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4-d cardiac mr image analysis: left and right ventricular morphology and function
Zhang H, Wahle A, Johnson RK, Scholz TD, Sonka M · 2010
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Segmentation of the left ventricle from cardiac mr images using a subject-specific dynamical model
Zhu Y, Papademetris X, Sinusas AJ, Duncan JS · 2010
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Unsupervised 4d myocardium segmentation with a markov random field based deformable model
Cordero-Grande L, Vegas-Sánchez-Ferrero G, Casaseca-de-la Higuera P, San-Román-Calvar JA, Revilla-Orodea A, Martín-Fernández M, Alberola-López C · 2011
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger O, Fischer P, Brox T · 2015
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Going deeper with convolutions
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Tensorflow: Large-scale machine learning on heterogeneous distributed systems
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A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac mri
Avendi M, Kheradvar A, Jafarkhani H · 2016
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Automatic liver and lesion segmentation in ct using cascaded fully convolutional neural networks and 3d conditional random fields
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Myocardial segmentation using contour-constrained optical flow tracking
Fahmy AS, Al-Agamy AO, Khalifa A · 2011
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Automatic cardiac ventricle segmentation in mr images: a validation study
Grosgeorge D, Petitjean C, Caudron J, Fares J, Dacher JN · 2011
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Automatic segmentation of the myocardium in cine mr images using deformable registration
Jolly MP, Guetter C, Lu X, Xue H, Guehring J · 2011
Cited alongside, same era.
Layered spatio-temporal forests for left ventricle segmentation from 4d cardiac mri data
Margeta J, Geremia E, Criminisi A, Ayache N · 2011
Cited alongside, same era.
A review of segmentation methods in short axis cardiac mr images
Petitjean C, Dacher JN · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky A, Sutskever I, Hinton GE · 2012
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Segmentation by retrieval with guided random walks: application to left ventricle segmentation in mri
Eslami A, Karamalis A, Katouzian A, Navab N · 2013
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3d deeply supervised network for automatic liver segmentation from ct volumes
Dou Q, Chen H, Jin Y, Yu L, Qin J, Heng PA · 2016
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Deep residual learning for image recognition
He K, Zhang X, Ren S, Sun J · 2016
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Densely connected convolutional networks
Huang G, Liu Z, Weinberger KQ, van der Maaten L · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Milletari F, Navab N, Ahmadi SA · 2016
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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 SE, Frangi AF · 2016
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Brain tumor segmentation using convolutional neural networks in mri images
Pereira S, Pinto A, Alves V, Silva CA · 2016
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A fully convolutional neural network for cardiac segmentation in short-axis mri
Tran PV · 2016
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An exploration of 2d and 3d deep learning techniques for cardiac mr image segmentation
Baumgartner CF, Koch LM, Pollefeys M, Konukoglu E · 2017
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Automated cardiac diagnosis challenge (acdc) miccai challenge 2017 in conjunction with the stacom workshop
Bernard O, Lalande A, Zotti C, Cervenansky F, Humbert O, Jodoin PM · 2017
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Second annual data science bowl
Booz Allen Hamilton Inc , Kaggle · 2017
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Brain tumor segmentation with deep neural networks
Havaei M, Davy A, Warde-Farley D, Biard A, Courville A, Bengio Y, Pal C, Jodoin PM, Larochelle H · 2017
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Automatic cardiac disease assessment on cine-mri via time-series segmentation and domain specific features
Isensee F, Jaeger P, Full PM, Wolf I, Engelhardt S, Maier-Hein KH · 2017
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The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
Jégou S, Drozdzal M, Vazquez D, Romero A, Bengio Y · 2017
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Efficient multi-scale 3d cnn with fully connected crf for accurate brain lesion segmentation
Kamnitsas K, Ledig C, Newcombe VF, Simpson JP, Kane AD, Menon DK, Rueckert D, Glocker B · 2017
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Diagnosing heart diseases with deep neural networks
Korshunova I, Burms J, Degrave J, Dambre J · 2017
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Fastventricle: Cardiac segmentation with enet
Lieman-Sifry J, Le M, Lau F, Sall S, Golden D · 2017
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2d-3d fully convolutional neural networks for cardiac mr segmentation
Patravali J, Jain S, Chilamkurthy S · 2017
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Fully convolutional networks for semantic segmentation
Shelhamer E, Long J, Darrell T · 2017
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Convolutional neural network regression for short-axis left ventricle segmentation in cardiac cine mr sequences
Tan LK, Liew YM, Lim E, McLaughlin RA · 2017
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Automatic segmentation and disease classification using cardiac cine mr images
Wolterink JM, Leiner T, Viergever MA, Isgum I · 2017
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Gridnet with automatic shape prior registration for automatic mri cardiac segmentation
Zotti C, Luo Z, Humbert O, Lalande A, Jodoin PM · 2017
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Automatic initialization and quality control of large-scale cardiac mri segmentations
Albá X, Lekadir K, Pereañez M, Medrano-Gracia P, Young AA, Frangi AF · 2018
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