Removing mismatches for retinal image registration via multi-attribute-driven regularized mixture model
暂无分享,去创建一个
Gang Wang | Yufei Chen | Weidong Zhao | Zhicheng Wang | Qiangqiang Zhou | Zhicheng Wang | Yufei Chen | W. Zhao | Qiangqiang Zhou | Gang Wang
[1] Ji Zhao,et al. Non-rigid visible and infrared face registration via regularized Gaussian fields criterion , 2015, Pattern Recognit..
[2] A. N. Tikhonov,et al. Solutions of ill-posed problems , 1977 .
[3] Paul J. Besl,et al. A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Zhanyi Hu,et al. Rejecting Mismatches by Correspondence Function , 2010, International Journal of Computer Vision.
[5] Charles A. Micchelli,et al. On Learning Vector-Valued Functions , 2005, Neural Computation.
[6] Brian Cabral,et al. Imaging vector fields using line integral convolution , 1993, SIGGRAPH.
[7] Gang Wang,et al. A robust non-rigid point set registration method based on asymmetric gaussian representation , 2015, Comput. Vis. Image Underst..
[8] Vikas Sindhwani,et al. Vector-valued Manifold Regularization , 2011, ICML.
[9] Zhuowen Tu,et al. Regularized vector field learning with sparse approximation for mismatch removal , 2013, Pattern Recognit..
[10] Luc Van Gool,et al. SURF: Speeded Up Robust Features , 2006, ECCV.
[11] David E. Goldberg,et al. Genetic algorithms and Machine Learning , 1988, Machine Learning.
[12] Mongi A. Abidi,et al. Gaussian fields: a new criterion for 3D rigid registration , 2004, Pattern Recognit..
[13] Jean Claude Nunes,et al. A multiscale elastic registration scheme for retinal angiograms , 2004, Comput. Vis. Image Underst..
[14] Zhuowen Tu,et al. Robust Point Matching via Vector Field Consensus , 2014, IEEE Transactions on Image Processing.
[15] Shu Liao,et al. A Markov Random Field Groupwise Registration Framework for Face Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Lei Zhang,et al. Sparse Representation Classifier for microaneurysm detection and retinal blood vessel extraction , 2012, Inf. Sci..
[17] Dinggang Shen,et al. S‐HAMMER: Hierarchical attribute‐guided, symmetric diffeomorphic registration for MR brain images , 2014, Human brain mapping.
[18] Chia-Ling Tsai,et al. The Edge-Driven Dual-Bootstrap Iterative Closest Point Algorithm for Registration of Multimodal Fluorescein Angiogram Sequence , 2010, IEEE Transactions on Medical Imaging.
[19] Frédéric Zana,et al. A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform , 1999, IEEE Transactions on Medical Imaging.
[20] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[21] Paul L. Rosin,et al. Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation , 2013, Comput. Medical Imaging Graph..
[22] Dinggang Shen,et al. Hierarchical Attribute-Guided Symmetric Diffeomorphic Registration for MR Brain Images , 2012, MICCAI.
[23] Yuan Yan Tang,et al. Elastic registration for retinal images based on reconstructed vascular trees , 2006, IEEE Transactions on Biomedical Engineering.
[24] Anand Rangarajan,et al. The Softassign Procrustes Matching Algorithm , 1997, IPMI.
[25] A. V. Cideciyan,et al. Registration of ocular fundus images: an algorithm using cross-correlation of triple invariant image descriptors , 1995 .
[26] Mateu Sbert,et al. Image registration by compression , 2010, Inf. Sci..
[27] N. Aronszajn. Theory of Reproducing Kernels. , 1950 .
[28] Max A. Viergever,et al. Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.
[29] Chia-Ling Tsai,et al. The dual-bootstrap iterative closest point algorithm with application to retinal image registration , 2003, IEEE Transactions on Medical Imaging.
[30] Dinggang Shen,et al. Improved image registration by sparse patch-based deformation estimation , 2015, NeuroImage.
[31] Jitendra Malik,et al. Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.
[32] Baba C. Vemuri,et al. Robust Point Set Registration Using Gaussian Mixture Models , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Tieniu Tan,et al. Phase Correlation Based Iris Image Registration Model , 2005, Journal of Computer Science and Technology.
[34] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[35] Liang Zhou,et al. The detection and quantification of retinopathy using digital angiograms , 1994, IEEE Trans. Medical Imaging.
[36] Gang Wang,et al. Robust Point Matching Using Mixture of Asymmetric Gaussians for Nonrigid Transformation , 2014, ACCV.
[37] Michael H. Goldbaum,et al. Registering retinal images using automatically selected control point pairs , 1994, Proceedings of 1st International Conference on Image Processing.
[38] Lester Ingber,et al. Simulated annealing: Practice versus theory , 1993 .
[39] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.
[40] Charles V. Stewart,et al. A Feature-Based, Robust, Hierarchical Algorithm for Registering Pairs of Images of the Curved Human Retina , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[41] Nikos Paragios,et al. Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.
[42] Leslie Greengard,et al. The Fast Gauss Transform , 1991, SIAM J. Sci. Comput..
[43] Jiang Liu,et al. A low-dimensional step pattern analysis algorithm with application to multimodal retinal image registration , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[44] Anand Rangarajan,et al. A new point matching algorithm for non-rigid registration , 2003, Comput. Vis. Image Underst..
[45] Jie Ma,et al. A robust method for vector field learning with application to mismatch removing , 2011, CVPR 2011.
[46] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[47] Gang Wang,et al. Robust point matching method for multimodal retinal image registration , 2015, Biomed. Signal Process. Control..
[48] Andriy Myronenko,et al. Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[49] Chia-Ling Tsai,et al. Registration of Challenging Image Pairs: Initialization, Estimation, and Decision , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] Guoliang Fan,et al. Hybrid retinal image registration , 2006, IEEE Transactions on Information Technology in Biomedicine.
[51] Yulong Shen,et al. Registration and fusion of retinal images-an evaluation study , 2003, IEEE Transactions on Medical Imaging.
[52] Gang Wang,et al. Fuzzy Correspondences and Kernel Density Estimation for Contaminated Point Set Registration , 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.
[53] L. Zangwill,et al. Using optical imaging summary data to detect glaucoma. , 2001, Ophthalmology.
[54] George K. Matsopoulos,et al. Multimodal registration of retinal images using self organizing maps , 2004, IEEE Transactions on Medical Imaging.
[55] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[56] Jie Tian,et al. A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration , 2010, IEEE Transactions on Biomedical Engineering.
[57] Michael S. Brown,et al. In Defence of RANSAC for Outlier Rejection in Deformable Registration , 2012, ECCV.