Automated segmentation of multiple sclerosis lesions by model outlier detection
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Koenraad Van Leemput | Paul Suetens | Dirk Vandermeulen | Frederik Maes | Alan C. F. Colchester | F. Maes | D. Vandermeulen | P. Suetens | K. Leemput | A. Colchester | K. V. Leemput
[1] R. Kikinis,et al. Quantitative follow‐up of patients with multiple sclerosis using MRI: Technical aspects , 1999, Journal of magnetic resonance imaging : JMRI.
[2] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[3] D. Paty,et al. Interferon beta‐1b is effective in relapsing‐remitting multiple sclerosis , 1993, Neurology.
[4] J. Alison Noble,et al. An adaptive segmentation algorithm for time-of-flight MRA data , 1999, IEEE Transactions on Medical Imaging.
[5] Ron Kikinis,et al. 4D Connected component labelling applied to quantitative analysis of MS lesion temporal development , 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[6] Guy Marchal,et al. Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.
[7] Guido Gerig,et al. Exploring the Discrimination Power of the Time Domain for Segmentation and Characterization of Lesions in Serial MR Data , 1998, MICCAI.
[8] Hervé Delingette,et al. Automatic Detection and Segmentation of Evolving Processes in 3D Medical Images: Application to Multiple Sclerosis , 1999, IPMI.
[9] Michael Brady,et al. Estimating the bias field of MR images , 1997, IEEE Transactions on Medical Imaging.
[10] Alan C. Evans,et al. Automatic Quantification of Multiple Sclerosis Lesion Volume Using Stereotaxic Space , 1996, VBC.
[11] Benoit M. Dawant,et al. Morphometric analysis of white matter lesions in MR images: method and validation , 1994, IEEE Trans. Medical Imaging.
[12] Alan C. Evans,et al. The Role of MRI in clinical trials of multiple sclerosis: Comparison of image processing techniques , 1997, Annals of neurology.
[13] Alan C. Evans,et al. Automatic Quantification of MS Lesions in 3D MRI Brain Data Sets: Validation of INSECT , 1998, MICCAI.
[14] M. Horsfield,et al. Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis. , 1995, Brain : a journal of neurology.
[15] Rajesh N. Davé,et al. Robust clustering methods: a unified view , 1997, IEEE Trans. Fuzzy Syst..
[16] Geoffrey J. McLachlan,et al. Robust Cluster Analysis via Mixtures of Multivariate t-Distributions , 1998, SSPR/SPR.
[17] Paty Dw,et al. Interferon beta-lb is effective in relapsing-remitting multiple sclerosis. I. Clinical results of a multicenter, randomized, double-blind, placebo-controlled trial. 1993 [classical article]. , 2001, Neurology.
[18] Fernando Bello,et al. Measuring Global and Local Spatial Correspondence Using Information Theory , 1998, MICCAI.
[19] Koenraad Van Leemput,et al. Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[20] J. Kurtzke. Rating neurologic impairment in multiple sclerosis , 1983, Neurology.
[21] F. Mosteller,et al. Understanding robust and exploratory data analysis , 1985 .
[22] M. Stella Atkins,et al. Partial volume segmentation in 3D of lesions and tissues in magnetic resonance images , 1994, Medical Imaging.
[23] W. Eric L. Grimson,et al. Adaptive Segmentation of MRI Data , 1995, CVRMed.
[24] Ron Kikinis,et al. Laboratory Investigation:Automatic Identification of Gray Matter Structures from MRI to Improve the Segmentation of White Matter Lesions , 1995 .
[25] Supun Samarasekera,et al. Multiple sclerosis lesion quantification using fuzzy-connectedness principles , 1997, IEEE Transactions on Medical Imaging.
[26] Reto Meuli,et al. Robust parameter estimation of intensity distributions for brain magnetic resonance images , 1998, IEEE Transactions on Medical Imaging.
[27] M. Stella Atkins,et al. Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI , 1996, IEEE Trans. Medical Imaging.
[28] Koenraad Van Leemput,et al. Automated model-based bias field correction of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[29] Jean-Philippe Thirion,et al. Non-rigid matching using demons , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] D. Louis Collins,et al. Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain images , 1995, IEEE Trans. Medical Imaging.
[31] Xinhua Zhuang,et al. Gaussian mixture density modeling, decomposition, and applications , 1996, IEEE Trans. Image Process..
[32] Guido Gerig,et al. Exploring the discrimination power of the time domain for segmentation and characterization of active lesions in serial MR data , 2000, Medical Image Anal..
[33] E. Ising. Beitrag zur Theorie des Ferromagnetismus , 1925 .
[34] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[35] R. Killiany,et al. Quantitative follow‐up of patients with multiple sclerosis using MRI: Reproducibility , 1999, Journal of magnetic resonance imaging : JMRI.
[36] J. Alison Noble,et al. Statistical 3D Vessel Segmentation Using a Rician Distribution , 1999, MICCAI.
[37] R Kikinis,et al. Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions. , 1995, Journal of image guided surgery.
[38] J. Thirion,et al. Deformation analysis to detect and quantify active lesions in three-dimensional medical image sequences , 1999, IEEE Transactions on Medical Imaging.
[39] Terry M. Peters,et al. 3D statistical neuroanatomical models from 305 MRI volumes , 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.
[40] Guy Marchal,et al. Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.