Fuzzy connectedness and image segmentation
暂无分享,去创建一个
[1] Clutterbuck. Lectures on Diseases of the Nervous System , 1827, Buffalo Medical and Surgical Journal.
[2] Edsger W. Dijkstra,et al. A note on two problems in connexion with graphs , 1959, Numerische Mathematik.
[3] Richard L. Grimsdale,et al. A system for the automatic recognition of patterns , 1959 .
[4] Azriel Rosenfeld,et al. Connectivity in Digital Pictures , 1970, JACM.
[5] James C. Bezdek,et al. Fuzzy mathematics in pattern classification , 1973 .
[6] J. Wolfe. Breast parenchymal patterns and their changes with age. , 1976, Radiology.
[7] J. Wolfe. Breast patterns as an index of risk for developing breast cancer. , 1976, AJR. American journal of roentgenology.
[8] A. Bonaert. Introduction to the theory of Fuzzy subsets , 1977, Proceedings of the IEEE.
[9] A. Kaufman,et al. Introduction to the Theory of Fuzzy Subsets. , 1977 .
[10] Azriel Rosenfeld,et al. Fuzzy Digital Topology , 1979, Inf. Control..
[11] J. Kurtzke,et al. Geographic distribution of multiple sclerosis: An update with special reference to Europe and the Mediterranean region , 1980, Acta neurologica Scandinavica.
[12] Gabor T. Herman,et al. The theory, design, implementation and evaluation of a three-dimensional surface detection algorithm , 1980, SIGGRAPH '80.
[13] Azriel Rosenfeld,et al. Three-Dimensional Digital Topology , 1981, Inf. Control..
[14] Anil K. Jain,et al. A Clustering Performance Measure Based on Fuzzy Set Decomposition , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Sargur N. Srihari,et al. Boundary Detection in Multidimensions , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] J. Kurtzke. Rating neurologic impairment in multiple sclerosis , 1983, Neurology.
[17] Azriel Rosenfeld,et al. The fuzzy geometry of image subsets , 1984, Pattern Recognit. Lett..
[18] Azriel Rosenfeld,et al. Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..
[19] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[20] N. Boyd,et al. The risk of breast cancer associated with mammographic parenchymal patterns: a meta-analysis of the published literature to examine the effect of method of classification. , 1992, Cancer detection and prevention.
[21] Jayaram K. Udupa,et al. Shell rendering , 1993, IEEE Computer Graphics and Applications.
[22] Sankar K. Pal,et al. A review on image segmentation techniques , 1993, Pattern Recognit..
[23] Supun Samarasekera,et al. Fuzzy connectedness and object definition , 1995, Medical Imaging.
[24] A I Pack,et al. Upper airway and soft tissue anatomy in normal subjects and patients with sleep-disordered breathing. Significance of the lateral pharyngeal walls. , 1995, American journal of respiratory and critical care medicine.
[25] Silvana G. Dellepiane,et al. Extraction of intensity connectedness for image processing , 1995, Pattern Recognit. Lett..
[26] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[27] Supun Samarasekera,et al. Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation , 1996, CVGIP Graph. Model. Image Process..
[28] Silvana G. Dellepiane,et al. Nonlinear image labeling for multivalued segmentation , 1996, IEEE Trans. Image Process..
[29] Narendra Ahuja,et al. Multiscale image segmentation by integrated edge and region detection , 1997, IEEE Trans. Image Process..
[30] Supun Samarasekera,et al. Multiple sclerosis lesion quantification using fuzzy-connectedness principles , 1997, IEEE Transactions on Medical Imaging.
[31] D. Hemmy,et al. A Pentium Personal Computer‐Based Craniofacial Three‐Dimensional Imaging and Analysis System , 1997, The Journal of craniofacial surgery.
[32] J. Udupa,et al. A new computer-assisted method for the quantification of enhancing lesions in multiple sclerosis. , 1997, Journal of computer assisted tomography.
[33] Jie Tian,et al. Pentium PC-based craniofacial 3D imaging and analysis system , 1997, Medical Imaging.
[34] Tony Lindeberg,et al. Scale-Space Theory in Computer Vision , 1993, Lecture Notes in Computer Science.
[35] Dimitris N. Metaxas,et al. Automated 3D Segmentation Using Deformable Models and Fuzzy Affinity , 1997, IPMI.
[36] Dimitris N. Metaxas,et al. Image-based ventricular blood flow analysis , 1998 .
[37] R. Dolan,et al. MS-325: albumin-targeted contrast agent for MR angiography. , 1998, Radiology.
[38] David H. Eberly,et al. Zoom-Invariant Vision of Figural Shape: The Mathematics of Cores , 1996, Comput. Vis. Image Underst..
[39] Jayaram K. Udupa,et al. Fuzzy connected object definition in images with respect to co-objects , 1999, Medical Imaging.
[40] Jayaram Udupa,et al. Age of onset of depression and quantitative neuroanatomic measures: absence of specific correlates , 1999, Psychiatry Research: Neuroimaging.
[41] J K Udupa,et al. Differences between relapsing-remitting and chronic progressive multiple sclerosis as determined with quantitative MR imaging. , 1999, Radiology.
[42] D. Vining. Virtual colonoscopy. , 1999, Seminars in ultrasound, CT, and MR.
[43] J K Udupa,et al. Relapsing-remitting multiple sclerosis: longitudinal analysis of MR images--lack of correlation between changes in T2 lesion volume and clinical findings. , 1999, Radiology.
[44] J K Udupa,et al. Brain atrophy in relapsing-remitting multiple sclerosis and secondary progressive multiple sclerosis: longitudinal quantitative analysis. , 2000, Radiology.
[45] W. Bilker,et al. Atrophy and High Intensity Lesions , 2000, Neuropsychopharmacology.
[46] 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).
[47] Jayaram K. Udupa,et al. Multiprotocol MR image segmentation in multiple sclerosis: experience with over 1000 studies , 2000, Medical Imaging: Image Processing.
[48] Jayaram K. Udupa,et al. Clutter-free volume rendering for magnetic resonance angiography using fuzzy connectedness , 2000, Int. J. Imaging Syst. Technol..
[49] Jayaram K. Udupa,et al. Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation , 2000, Comput. Vis. Image Underst..
[50] Jayaram K. Udupa,et al. Brain tumor segmentation in MRI by using the fuzzy connectedness method , 2001, SPIE Medical Imaging.
[51] Dev P. Chakraborty,et al. Breast tissue density quantification via digitized mammograms , 2001, IEEE Transactions on Medical Imaging.
[52] Noël Bonnet,et al. Two Methods for Semi-automatic Image Segmentation based on Fuzzy Connectedness and Watersheds , 2001, VIIP.
[53] Bruno M. Carvalho,et al. Multiseeded Segmentation Using Fuzzy Connectedness , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[54] Jayaram K. Udupa,et al. New automatic mode of visualizing the colon via Cine CT , 2001, SPIE Medical Imaging.
[55] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[56] Jayaram K. Udupa,et al. Automatic bone-free rendering of cerebral aneurysms via 3D CTA , 2001, SPIE Medical Imaging.
[57] Dzung L. Pham,et al. Spatial Models for Fuzzy Clustering , 2001, Comput. Vis. Image Underst..
[58] Jayaram K. Udupa,et al. Artery-vein separation via MRA-An image processing approach , 2001, IEEE Transactions on Medical Imaging.
[59] Jayaram K. Udupa,et al. Relative Fuzzy Connectedness among Multiple Objects: Theory, Algorithms, and Applications in Image Segmentation , 2001, Comput. Vis. Image Underst..
[60] Jayaram K. Udupa,et al. Multiprotocol MR Image Segmentation in Multiple Sclerosis , 2001 .
[61] Jayaram K. Udupa,et al. Fuzzy Connected Object Delineation: Axiomatic Path Strength Definition and the Case of Multiple Seeds , 2001, Comput. Vis. Image Underst..
[62] Max A. Viergever,et al. Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images , 2001, SPIE Medical Imaging.
[63] Jayaram K. Udupa,et al. Protocol-independent brain MRI segmentation method , 2002, SPIE Medical Imaging.
[64] Andrew F. Laine,et al. Adaptive speed term based on homogeneity for level-set segmentation , 2002, SPIE Medical Imaging.
[65] Jayaram K. Udupa,et al. Fuzzy-connected 3D image segmentation at interactive speeds , 2000, Graph. Model..
[66] Ponnada A Narayana,et al. Automatic delineation of Gd enhancements on magnetic resonance images in multiple sclerosis. , 2002, Medical physics.
[67] J. Udupa,et al. Three-dimensional Bone-free Rendering of the Cerebral Circulation by Use of Computed Tomographic Angiography and Fuzzy Connectedness , 2002, Neurosurgery.
[68] Raanan Arens,et al. Linear dimensions of the upper airway structure during development: assessment by magnetic resonance imaging. , 2002, American journal of respiratory and critical care medicine.
[69] Andrew F. Laine,et al. Improving statistics for hybrid segmentation of high-resolution multichannel images , 2002, SPIE Medical Imaging.
[70] J. Udupa,et al. Estimation of tumor volume with fuzzy-connectedness segmentation of MR images. , 2002, AJNR. American journal of neuroradiology.
[71] Jayaram K. Udupa,et al. Methodology for evaluating image-segmentation algorithms , 2002, SPIE Medical Imaging.
[72] Raanan Arens,et al. System for upper airway segmentation and measurement with MR imaging and fuzzy connectedness. , 2003, Academic radiology.
[73] 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..