Vectorial scale-based fuzzy-connected image segmentation
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[1] Jayaram K. Udupa,et al. Hybrid Segmentation of Anatomical Data , 2001, MICCAI.
[2] Demetri Terzopoulos,et al. Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..
[3] Dev P. Chakraborty,et al. Breast tissue density quantification via digitized mammograms , 2001, IEEE Transactions on Medical Imaging.
[4] Sankar K. Pal,et al. Fuzzy models for pattern recognition , 1992 .
[5] Dewey Odhner,et al. 3DVIEWNIX: an open, transportable, multidimensional, multimodality, multiparametric imaging software system , 1994, Medical Imaging.
[6] N. Otsu. A threshold selection method from gray level histograms , 1979 .
[7] Stan Z. Li,et al. Markov Random Field Modeling in Computer Vision , 1995, Computer Science Workbench.
[8] Isabelle Bloch. Fuzzy connectivity and mathematical morphology , 1993, Pattern Recognit. Lett..
[9] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[10] J. Udupa,et al. Estimation of tumor volume with fuzzy-connectedness segmentation of MR images. , 2002, AJNR. American journal of neuroradiology.
[11] Azriel Rosenfeld,et al. Fuzzy Digital Topology , 1979, Inf. Control..
[12] Bruno M. Carvalho,et al. Multiseeded Segmentation Using Fuzzy Connectedness , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[13] Jayaram K. Udupa,et al. Protocol-independent brain MRI segmentation method , 2002, SPIE Medical Imaging.
[14] Jayaram K. Udupa,et al. Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation , 2000, Comput. Vis. Image Underst..
[15] Mohan M. Trivedi,et al. Low-Level Segmentation of Aerial Images with Fuzzy Clustering , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[16] Jayaram K. Udupa,et al. Relative Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[17] Jayaram K. Udupa,et al. Artery-vein separation via MRA-An image processing approach , 2001, IEEE Transactions on Medical Imaging.
[18] Olga Veksler,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[19] A. Bonaert. Introduction to the theory of Fuzzy subsets , 1977, Proceedings of the IEEE.
[20] Demetri Terzopoulos,et al. Snakes: Active contour models , 2004, International Journal of Computer Vision.
[21] Hichem Sahli,et al. Multiscale gradient watersheds of color images , 2003, IEEE Trans. Image Process..
[22] Andrew K. C. Wong,et al. A gray-level threshold selection method based on maximum entropy principle , 1989, IEEE Trans. Syst. Man Cybern..
[23] Sang Uk Lee,et al. On the color image segmentation algorithm based on the thresholding and the fuzzy c-means techniques , 1990, Pattern Recognit..
[24] Xiaobo Li,et al. Adaptive image region-growing , 1994, IEEE Trans. Image Process..
[25] Jayaram K. Udupa,et al. User-Steered Image Segmentation Paradigms: Live Wire and Live Lane , 1998, Graph. Model. Image Process..
[26] Peter E. Hart,et al. Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.
[27] Dimitris N. Metaxas,et al. Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity , 1997, IPMI.
[28] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[29] Richard M. Leahy,et al. An Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[30] Martin Styner,et al. Parametric estimate of intensity inhomogeneities applied to MRI , 2000, IEEE Transactions on Medical Imaging.
[31] James A. Sethian,et al. Level Set Methods and Fast Marching Methods , 1999 .
[32] James S. Duncan,et al. Deformable boundary finding in medical images by integrating gradient and region information , 1996, IEEE Trans. Medical Imaging.
[33] Jayaram K. Udupa,et al. Relative Fuzzy Connectedness among Multiple Objects: Theory, Algorithms, and Applications in Image Segmentation , 2001, Comput. Vis. Image Underst..
[34] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[35] Azriel Rosenfeld,et al. Multidimensional Edge Detection by Hypersurface Fitting , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Supun Samarasekera,et al. Multiple sclerosis lesion quantification using fuzzy-connectedness principles , 1997, IEEE Transactions on Medical Imaging.
[37] Baba C. Vemuri,et al. An Accurate and Efficient Bayesian Method for Automatic Segmentation of Brain MRI , 2002, ECCV.
[38] Jayaram K. Udupa,et al. Methodology for evaluating image-segmentation algorithms , 2002, SPIE Medical Imaging.
[39] Jake K. Aggarwal,et al. The Integration of Image Segmentation Maps using Region and Edge Information , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[40] Jayaram K. Udupa,et al. Fuzzy-connected 3D image segmentation at interactive speeds , 2000, Graph. Model..
[41] D. Louis Collins,et al. Design and construction of a realistic digital brain phantom , 1998, IEEE Transactions on Medical Imaging.
[42] Alan L. Yuille,et al. Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[43] William A. Barrett,et al. Intelligent scissors for image composition , 1995, SIGGRAPH.
[44] Frithjof Kruggel,et al. Segmentation of MR images with intensity inhomogeneities , 1998, Image Vis. Comput..
[45] Ioannis A. Kakadiaris,et al. Adaptive Fuzzy Connectedness-Based Medical Image Segmentation , 2002, ICVGIP.
[46] Supun Samarasekera,et al. Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation , 1996, CVGIP Graph. Model. Image Process..
[47] Z. Kato. Bayesian color image segmentation using reversible jump Markov chain Monte Carlo , 1999 .
[48] Jayaram K. Udupa,et al. Scale-based method for correcting background intensity variation in acquired images , 2002, SPIE Medical Imaging.
[49] J. A. Sethian,et al. Fast Marching Methods , 1999, SIAM Rev..
[50] Ron Kikinis,et al. Markov random field segmentation of brain MR images , 1997, IEEE Transactions on Medical Imaging.
[51] Zhengrong Liang,et al. Parameter estimation and tissue segmentation from multispectral MR images , 1994, IEEE Trans. Medical Imaging.
[52] J. Udupa,et al. Iterative relative fuzzy connectedness and object definition: theory, algorithms, and applications in image segmentation , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).
[53] Sankar K. Pal,et al. A review on image segmentation techniques , 1993, Pattern Recognit..
[54] Raanan Arens,et al. System for upper airway segmentation and measurement with MR imaging and fuzzy connectedness. , 2003, Academic radiology.
[55] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[56] A. Kaufman,et al. Introduction to the Theory of Fuzzy Subsets. , 1977 .
[57] Jayaram K. Udupa,et al. Fuzzy Connected Object Delineation: Axiomatic Path Strength Definition and the Case of Multiple Seeds , 2001, Comput. Vis. Image Underst..
[58] L G Nyúl,et al. On standardizing the MR image intensity scale , 1999, Magnetic resonance in medicine.
[59] Guillermo Sapiro,et al. Color Snakes , 1997, Comput. Vis. Image Underst..