Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks
暂无分享,去创建一个
[1] Max W. K. Law,et al. Three Dimensional Curvilinear Structure Detection Using Optimally Oriented Flux , 2008, ECCV.
[2] Shruti Aggarwal,et al. Two-Dimensional Plane for Multi-Scale Quantification of Corneal Subbasal Nerve Tortuosity , 2016, Investigative ophthalmology & visual science.
[3] Hui Ji,et al. A Convergent Incoherent Dictionary Learning Algorithm for Sparse Coding , 2014, ECCV.
[4] Anders P. Eriksson,et al. Fast Convolutional Sparse Coding , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Yann LeCun,et al. Structured sparse coding via lateral inhibition , 2011, NIPS.
[6] Roberto Marcondes Cesar Junior,et al. Retinal Vessel Segmentation Using the 2-D Morlet Wavelet and Supervised Classification , 2005, ArXiv.
[7] Antonio Criminisi,et al. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning , 2012, Found. Trends Comput. Graph. Vis..
[8] José Carlos Príncipe,et al. A fast proximal method for convolutional sparse coding , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).
[9] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[10] Vincent Lepetit,et al. Learning Separable Filters , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Vincent Lepetit,et al. Accurate and Efficient Linear Structure Segmentation by Leveraging Ad Hoc Features with Learned Filters , 2012, MICCAI.
[12] Elisa Ricci,et al. Retinal Blood Vessel Segmentation Using Line Operators and Support Vector Classification , 2007, IEEE Transactions on Medical Imaging.
[13] Roberto Marcondes Cesar Junior,et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification , 2005, IEEE Transactions on Medical Imaging.
[14] Emanuele Trucco,et al. Leveraging Multiscale Hessian-Based Enhancement With a Novel Exudate Inpainting Technique for Retinal Vessel Segmentation , 2016, IEEE Journal of Biomedical and Health Informatics.
[15] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[16] Tianfu Wang,et al. A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images , 2016, IEEE Transactions on Medical Imaging.
[17] A.D. Hoover,et al. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response , 2000, IEEE Transactions on Medical Imaging.
[18] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[19] Dinesh Kumar,et al. Validating retinal fundus image analysis algorithms: issues and a proposal. , 2013, Investigative ophthalmology & visual science.
[20] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[21] Ana Maria Mendonça,et al. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction , 2006, IEEE Transactions on Medical Imaging.
[22] Ke Chen,et al. Automated Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Region Information with Application to Retinal Images , 2015, IEEE Transactions on Medical Imaging.
[23] Victor S. Lempitsky,et al. N4-Fields: Neural Network Nearest Neighbor Fields for Image Transforms , 2014, ArXiv.
[24] Sergei Vassilvitskii,et al. k-means++: the advantages of careful seeding , 2007, SODA '07.
[25] José Manuel Bravo,et al. A New Supervised Method for Blood Vessel Segmentation in Retinal Images by Using Gray-Level and Moment Invariants-Based Features , 2011, IEEE Transactions on Medical Imaging.
[26] Emanuele Trucco,et al. Scale and Curvature Invariant Ridge Detector for Tortuous and Fragmented Structures , 2015, MICCAI.
[27] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Stephen P. Boyd,et al. Proximal Algorithms , 2013, Found. Trends Optim..
[29] Gordon Wetzstein,et al. Fast and flexible convolutional sparse coding , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Peter Kontschieder,et al. Deep Neural Decision Forests , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[31] Andrew Y. Ng,et al. Learning Feature Representations with K-Means , 2012, Neural Networks: Tricks of the Trade.
[32] Marc Teboulle,et al. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..
[33] Julien Mairal,et al. Convex optimization with sparsity-inducing norms , 2011 .
[34] Emanuele Trucco,et al. Boosting Hand-Crafted Features for Curvilinear Structure Segmentation by Learning Context Filters , 2015, MICCAI.
[35] Max A. Viergever,et al. Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.
[36] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[37] Alan Wee-Chung Liew,et al. General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling , 2010, IEEE Transactions on Medical Imaging.
[38] Vincent Lepetit,et al. Projection onto the Manifold of Elongated Structures for Accurate Extraction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[39] Li Cheng,et al. Learning to Boost Filamentary Structure Segmentation , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[40] Andrew Hunter,et al. An Active Contour Model for Segmenting and Measuring Retinal Vessels , 2009, IEEE Transactions on Medical Imaging.
[41] Quoc V. Le,et al. On optimization methods for deep learning , 2011, ICML.
[42] Ju Lu,et al. The DIADEM Data Sets: Representative Light Microscopy Images of Neuronal Morphology to Advance Automation of Digital Reconstructions , 2011, Neuroinformatics.
[43] Shruti Aggarwal,et al. A fully automated tortuosity quantification system with application to corneal nerve fibres in confocal microscopy images , 2016, Medical Image Anal..
[44] Y-Lan Boureau,et al. Learning Convolutional Feature Hierarchies for Visual Recognition , 2010, NIPS.
[45] Vincent Lepetit,et al. Multiscale Centerline Detection , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.