CAVASS: A Computer-Assisted Visualization and Analysis Software System
暂无分享,去创建一个
Dewey Odhner | Shipra Mishra | Ying Zhuge | Tad Iwanaga | Jayaram Udupa | Andre Souza | George Grevera | J. Udupa | T. Iwanaga | G. Grevera | D. Odhner | Y. Zhuge | S. Mishra | Andre D. A. Souza | Shipra Mishra
[1] Noël Bonnet,et al. Two Methods for Semi-automatic Image Segmentation based on Fuzzy Connectedness and Watersheds , 2001, VIIP.
[2] W A Barrett,et al. A PC-based 3D imaging system: algorithms, software, and hardware considerations. , 1990, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[3] J.K. Udupa,et al. Display of 3D information in discrete 3D scenes produced by computerized tomography , 1983, Proceedings of the IEEE.
[4] Gabor T. Herman,et al. 3D98: A Turnkey System For The 3D Display And Analysis Of Medical Objects In CT Data , 1986, Other Conferences.
[5] Jayaram K. Udupa. Multidimensional Digital Boundaries , 1994, CVGIP Graph. Model. Image Process..
[6] Marco Nolden,et al. The Medical Imaging Interaction Toolkit , 2005, Medical Image Anal..
[7] Taran Rampersad. wxWindows for cross-platform coding , 2003 .
[8] J. Herbsleb,et al. Two case studies of open source software development: Apache and Mozilla , 2002, TSEM.
[9] J. B. Kneeland,et al. Analysis of in vivo 3-D internal kinematics of the joints of the foot [MRI analysis] , 1998, IEEE Transactions on Biomedical Engineering.
[10] Jayaram K. Udupa,et al. Comparative analysis of shell rendering and shear-warp rendering , 2002, SPIE Medical Imaging.
[11] Jayaram K. Udupa,et al. Comparison of T 2 Lesion Volume and Magnetization Transfer Ratio Histogram Analysis and of Atrophy and Measures of Lesion Burden in Patients with Multiple Sclerosis , 1998 .
[12] J K Udupa,et al. Comparison of T2 lesion volume and magnetization transfer ratio histogram analysis and of atrophy and measures of lesion burden in patients with multiple sclerosis. , 1998, AJNR. American journal of neuroradiology.
[13] Stanley Osher,et al. Level Set Methods , 2003 .
[14] Jayaram K. Udupa,et al. Shell manipulation: interactive alteration of multiple-material fuzzy structures , 1995, Medical Imaging.
[15] J. Udupa,et al. Three-dimensional Bone-free Rendering of the Cerebral Circulation by Use of Computed Tomographic Angiography and Fuzzy Connectedness , 2002, Neurosurgery.
[16] J. Udupa,et al. Shape-based interpolation of multidimensional objects. , 1990, IEEE transactions on medical imaging.
[17] Jayaram K. Udupa,et al. New variants of a method of MRI scale standardization , 2000, IEEE Transactions on Medical Imaging.
[18] R. Bernstein,et al. Shading 3D-Images from CT Using Gray-Level Gradients , 1986, IEEE Transactions on Medical Imaging.
[19] Jerry L Prince,et al. Current methods in medical image segmentation. , 2000, Annual review of biomedical engineering.
[20] J.K. Udupa,et al. Kinematics of joints of the foot via three-dimensional; magnetic resonance images , 1990, [1990] Proceedings of the First Conference on Visualization in Biomedical Computing.
[21] Jayaram K. Udupa,et al. Artery-vein separation via MRA-An image processing approach , 2001, IEEE Transactions on Medical Imaging.
[22] Jayaram K. Udupa,et al. Introducing CAVASS: a Computer-Assisted Visualization and Analysis Software System , 2007, SPIE Medical Imaging.
[23] Marc Levoy,et al. Display of surfaces from volume data , 1988, IEEE Computer Graphics and Applications.
[24] Jayaram K. Udupa,et al. User-Steered Image Segmentation Paradigms: Live Wire and Live Lane , 1998, Graph. Model. Image Process..
[25] M. Levoy,et al. Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.
[26] Jayaram K. Udupa,et al. Volume rendering in the presence of partial volume effects , 2002, IEEE Transactions on Medical Imaging.
[27] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[28] Forum Mpi. MPI: A Message-Passing Interface , 1994 .
[29] Guido Gerig,et al. Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.
[30] Jayaram K. Udupa,et al. Relative Fuzzy Connectedness among Multiple Objects: Theory, Algorithms, and Applications in Image Segmentation , 2001, Comput. Vis. Image Underst..
[31] M. Schlindwein,et al. THREE-DIMENSIONAL DISPLAY OF HUMAN ORGANS FROM COMPUTED TOMOGRAMS , 1979 .
[32] Jayaram K. Udupa,et al. Fuzzy Connected Object Delineation: Axiomatic Path Strength Definition and the Case of Multiple Seeds , 2001, Comput. Vis. Image Underst..
[33] Jayaram K. Udupa,et al. CAVASS: a computer assisted visualization and analysis software system - visualization aspects , 2007, SPIE Medical Imaging.
[34] Jacques-Olivier Lachaud,et al. Continuous Analogs of Digital Boundaries: A Topological Approach to Iso-Surfaces , 2000, Graph. Model..
[35] Jayaram K. Udupa,et al. Shape-based interpolation of multidimensional grey-level images , 1996, IEEE Trans. Medical Imaging.
[36] Gabor Herman,et al. Display of 3-D Digital Images: Computational Foundations and Medical Applications , 1983, IEEE Computer Graphics and Applications.
[37] William E. Higgins,et al. Shape-based interpolation of tree-like structures in three-dimensional images , 1993, IEEE Trans. Medical Imaging.
[38] Jayaram K. Udupa,et al. Interactive segmentation and boundary surface formation for 3-D digital images , 1982, Comput. Graph. Image Process..
[39] M. Brian Blake,et al. IGSTK: an open source software toolkit for image-guided surgery , 2006, Computer.
[40] L G Nyúl,et al. Numerical tissue characterization in MS via standardization of the MR image intensity scale , 2000, Journal of magnetic resonance imaging : JMRI.
[41] Jayaram K. Udupa,et al. Original articlesAtrophy and High Intensity Lesions: Complementary Neurobiological Mechanisms in Late-Life Major Depression , 2000 .
[42] Alper Yilmaz,et al. Level Set Methods , 2007, Wiley Encyclopedia of Computer Science and Engineering.
[43] Mark C Preul,et al. Interactive stereoscopic virtual reality: a new tool for neurosurgical education. Technical note. , 2002, Journal of neurosurgery.
[44] Jayaram K. Udupa,et al. An ultra-fast user-steered image segmentation paradigm: live wire on the fly , 2000, IEEE Transactions on Medical Imaging.
[45] Jayaram K. Udupa,et al. An Order of Magnitude Faster Isosurface Rendering in Software on a PC than Using Dedicated, General Purpose Rendering Hardware , 2000, IEEE Trans. Vis. Comput. Graph..
[46] Luis Ibáñez,et al. The ITK Software Guide , 2005 .
[47] Jayaram K. Udupa,et al. Scale-based diffusive image filtering preserving boundary sharpness and fine structures , 2001, IEEE Transactions on Medical Imaging.
[48] Marc Kachelriess,et al. Fast volume scanning approaches by X-ray-computed tomography , 2003, Proceedings of the IEEE.
[49] László G. Nyúl,et al. Virtual dissection of the colon: technique and first experiments with artificial and cadaveric phantoms , 2002, SPIE Medical Imaging.
[50] Jayaram K. Udupa,et al. Automatic bone-free rendering of cerebral aneurysms via 3D CTA , 2001, SPIE Medical Imaging.
[51] Jayaram K. Udupa,et al. Volume rendering in the presence of partial volume effects , 2005, IEEE Transactions on Medical Imaging.
[52] Jian Xue,et al. The design and implementation of a C++ toolkit for integrated medical image processing and analyzing , 2004, Medical Imaging: Image-Guided Procedures.
[53] Paul A. Viola,et al. Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..
[54] Jayaram K. Udupa,et al. Fast visualization, manipulation, and analysis of binary volumetric objects , 1991, IEEE Computer Graphics and Applications.
[55] L. Axel,et al. Intensity correction in surface-coil MR imaging. , 1987, AJR. American journal of roentgenology.
[56] Ponnada A. Narayana,et al. Detection and delineation of multiple sclerosis lesions in gadolinium-enhanced 3D T1-weighted MRI data , 2000, Proceedings 13th IEEE Symposium on Computer-Based Medical Systems. CBMS 2000.
[57] C. Pelizzari,et al. Accurate Three‐Dimensional Registration of CT, PET, and/or MR Images of the Brain , 1989, Journal of computer assisted tomography.
[58] A. Pack,et al. Upper airway size analysis by magnetic resonance imaging of children with obstructive sleep apnea syndrome. , 2003, American journal of respiratory and critical care medicine.
[59] J. Udupa,et al. A new computer-assisted method for the quantification of enhancing lesions in multiple sclerosis. , 1997, Journal of computer assisted tomography.
[60] J K Udupa,et al. Brain atrophy in relapsing-remitting multiple sclerosis and secondary progressive multiple sclerosis: longitudinal quantitative analysis. , 2000, Radiology.
[61] J K Udupa,et al. Global volumetric estimation of disease burden in multiple sclerosis based on magnetization transfer imaging. , 1997, AJNR. American journal of neuroradiology.
[62] Sargur N. Srihari,et al. Boundary Detection in Multidimensions , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[63] Vadim Zeitlin. The wxWindows cross-platform framework , 2001 .
[64] Dewey Odhner,et al. 3DVIEWNIX: an open, transportable, multidimensional, multimodality, multiparametric imaging software system , 1994, Medical Imaging.
[65] Andrew F. Laine,et al. Adaptive speed term based on homogeneity for level-set segmentation , 2002, SPIE Medical Imaging.
[66] J. Udupa,et al. Tarsal joint kinematics via 3D imaging. , 2000, Critical reviews in diagnostic imaging.
[67] Jayaram K. Udupa,et al. Area of and volume enclosed by digital and triangulated surfaces , 2002, SPIE Medical Imaging.
[68] Jayaram K. Udupa,et al. CAVASS: a computer-assisted visualization and analysis software system - image processing aspects , 2007, SPIE Medical Imaging.
[69] M. Horsfield,et al. Quantitative assessment of magnetic resonance imaging lesion load in multiple sclerosis. , 1998, Journal of neurology, neurosurgery, and psychiatry.
[70] Jayaram K. Udupa,et al. Generalized scale: Theory, algorithms, and application to image inhomogeneity correction , 2006, Comput. Vis. Image Underst..
[71] R A Robb,et al. Analyze: a comprehensive, operator-interactive software package for multidimensional medical image display and analysis. , 1989, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[72] Supun Samarasekera,et al. Multiple sclerosis lesion quantification using fuzzy-connectedness principles , 1997, IEEE Transactions on Medical Imaging.
[73] J. K. Udupa,et al. Isolated U-fiber involvement in MS , 1998, Neurology.
[74] Jayaram K. Udupa,et al. Multidimensional data format specification: A generalization of the American College of Radiology-National Electric Manufacturers Association standards , 1992, Journal of Digital Imaging.
[75] Jayaram Udupa,et al. Age of onset of depression and quantitative neuroanatomic measures: absence of specific correlates , 1999, Psychiatry Research: Neuroimaging.
[76] Jayaram K. Udupa,et al. New methods of MR image intensity standardization via generalized scale , 2005, SPIE Medical Imaging.
[77] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[78] Michael L. Rhodes,et al. An algorithmic approach to controlling search in three-dimensional image data , 1979, SIGGRAPH.
[79] W. Bilker,et al. Late-onset minor and major depression: early evidence for common neuroanatomical substrates detected by using MRI. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[80] J K Udupa,et al. Correlation of volumetric magnetization transfer imaging with clinical data in MS , 1998, Neurology.
[81] Max A. Viergever,et al. Objective and reproducible segmentation and quantification of tuberous sclerosis lesions in FLAIR brain MR images , 2001, SPIE Medical Imaging.
[82] 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.
[83] Dan Gordon,et al. Back-to-Front Display of Voxel Based Objects , 1985, IEEE Computer Graphics and Applications.
[84] Jayaram K. Udupa,et al. Upper airway segmentation and measurement in MRI using fuzzy connectedness , 2002, SPIE Medical Imaging.
[85] Jayaram K. Udupa,et al. Brain tumor segmentation in MRI by using the fuzzy connectedness method , 2001, SPIE Medical Imaging.
[86] Supun Samarasekera,et al. Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation , 1996, CVGIP Graph. Model. Image Process..
[87] Y. Censor,et al. Demonstration of a software package for the reconstruction of the dynamically changing structure of the human heart from cone beam X-ray projections , 2005, Journal of Medical Systems.
[88] Jayaram K. Udupa,et al. New automatic mode of visualizing the colon via Cine CT , 2001, SPIE Medical Imaging.
[89] Henry Fuchs,et al. Optimal surface reconstruction from planar contours , 1977, SIGGRAPH.
[90] G. Marchal,et al. Multi-modal volume registration by maximization of mutual information , 1997 .
[91] Dimitris N. Metaxas,et al. Image-based ventricular blood flow analysis , 1998 .
[92] VekslerOlga,et al. Fast Approximate Energy Minimization via Graph Cuts , 2001 .
[93] Jayaram K. Udupa,et al. A characterization of the geometric architecture of the peritalar joint complex via MRI, an aid to classification of foot type , 1999, IEEE Transactions on Medical Imaging.
[94] J. Holden,et al. Foundations of medical imaging , 1995 .
[95] 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..
[96] Jayaram K. Udupa,et al. Scale-Based Fuzzy Connected Image Segmentation: Theory, Algorithms, and Validation , 2000, Comput. Vis. Image Underst..
[97] Jayaram K. Udupa,et al. Incorporating a measure of local scale in voxel-based 3-D image registration , 2003, IEEE Transactions on Medical Imaging.
[98] Jayaram K. Udupa,et al. Shell rendering , 1993, IEEE Computer Graphics and Applications.
[99] Gabor T. Herman,et al. Boundary detection in 3-dimensions with a medical application , 1981, COMG.
[100] E Stindel,et al. 3D MR image analysis of the morphology of the rear foot: application to classification of bones. , 1999, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.
[101] Jayaram K. Udupa,et al. Scale-based method for correcting background intensity variation in acquired images , 2002, SPIE Medical Imaging.
[102] Gabor T. Herman,et al. 3D83 - An Easy-To-Use Software Package For Three-Dimensional Display From Computed Tomograms , 1984, Other Conferences.
[103] Edward J. Farrell,et al. Animated 3D CT Imaging , 1985, IEEE Computer Graphics and Applications.
[104] Jayaram K. Udupa,et al. Determination of 3-D shape parameters from boundary information , 1981 .
[105] Carolyn A. Bucholtz,et al. Shape-based interpolation , 1992, IEEE Computer Graphics and Applications.
[106] J K Udupa,et al. Computer-assisted quantitation of enhancing lesions in multiple sclerosis: correlation with clinical classification. , 1997, AJNR. American journal of neuroradiology.
[107] William E. Lorensen,et al. Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.
[108] Jorge Stolfi,et al. The image foresting transform: theory, algorithms, and applications , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.