Penalized Fisher discriminant analysis and its application to image-based morphometry
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Yilin Mo | Gustavo K. Rohde | Wei Wang | John A. Ozolek | G. Rohde | Wei Wang | J. Ozolek | Yilin Mo
[1] Christos Davatzikos,et al. Anatomical Equivalence Class: A Morphological Analysis Framework Using a Lossless Shape Descriptor , 2007, IEEE Transactions on Medical Imaging.
[2] M L Mendelsohn,et al. THE ANALYSIS OF CELL IMAGES * , 1966, Annals of the New York Academy of Sciences.
[3] B. Scholkopf,et al. Fisher discriminant analysis with kernels , 1999, Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468).
[4] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .
[5] Carey E. Priebe,et al. Collaborative computational anatomy: An MRI morphometry study of the human brain via diffeomorphic metric mapping , 2009, Human Brain Mapping.
[6] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[7] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[8] Nicolas Cherbuin,et al. Hippocampal shape analysis for Alzheimer's disease using an efficient hypothesis test and regularized discriminative deformation , 2009, Hippocampus.
[9] W. Eric L. Grimson,et al. Detection and analysis of statistical differences in anatomical shape , 2005, Medical Image Anal..
[10] Ting Zhao,et al. Automated learning of generative models for subcellular location: Building blocks for systems biology , 2007, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[11] D'arcy W. Thompson. On growth and form i , 1943 .
[12] Gustavo K. Rohde,et al. A graph-based method for detecting characteristic phenotypes from biomedical images , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[13] Michael I. Miller,et al. Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type , 2007, IEEE Transactions on Medical Imaging.
[14] D. Kendall. SHAPE MANIFOLDS, PROCRUSTEAN METRICS, AND COMPLEX PROJECTIVE SPACES , 1984 .
[15] Timothy F. Cootes,et al. Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..
[16] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[17] Hua Yu,et al. A direct LDA algorithm for high-dimensional data - with application to face recognition , 2001, Pattern Recognit..
[18] Bjarne K. Ersbøll,et al. FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.
[19] Gustavo K. Rohde,et al. An Optimal Transportation Approach for Nuclear Structure-Based Pathology , 2011, IEEE Transactions on Medical Imaging.
[20] L. Younes,et al. Statistics on diffeomorphisms via tangent space representations , 2004, NeuroImage.
[21] Welch Bl. THE GENERALIZATION OF ‘STUDENT'S’ PROBLEM WHEN SEVERAL DIFFERENT POPULATION VARLANCES ARE INVOLVED , 1947 .
[22] David J. Kriegman,et al. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection , 1996, ECCV.
[23] P. Thomas Fletcher,et al. Principal geodesic analysis for the study of nonlinear statistics of shape , 2004, IEEE Transactions on Medical Imaging.
[24] Zhihua Zhang,et al. Regularized Discriminant Analysis, Ridge Regression and Beyond , 2010, J. Mach. Learn. Res..
[25] Alejandro F Frangi,et al. Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration , 2003, IEEE Transactions on Medical Imaging.
[26] U. Grenander,et al. Computational anatomy: an emerging discipline , 1998 .
[27] G. Papanicolaou,et al. New cancer diagnosis , 1973 .
[28] F. Bookstein,et al. The Measurement of Biological Shape and Shape Change. , 1980 .
[29] Robert F Murphy,et al. Deformation‐based nuclear morphometry: Capturing nuclear shape variation in HeLa cells , 2008, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[30] Ming-Tsang Wu,et al. Computerized nuclear morphometry in thyroid follicular neoplasms , 2005, Pathology international (Print).
[31] Keinosuke Fukunaga,et al. Introduction to statistical pattern recognition (2nd ed.) , 1990 .
[32] C. Schmid,et al. High-Dimensional Discriminant Analysis , 2005 .
[33] D'arcy W. Thompson,et al. On Growth and Form , 1917, Nature.
[34] Z Pincus,et al. Comparison of quantitative methods for cell‐shape analysis , 2007, Journal of microscopy.
[35] J. Friedman. Regularized Discriminant Analysis , 1989 .
[36] Wei Wang,et al. Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images , 2010, Cytometry. Part A : the journal of the International Society for Analytical Cytology.
[37] Jitendra Malik,et al. SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[38] Weiqin Jiang,et al. Using nuclear morphometry to discriminate the tumorigenic potential of cells: a comparison of statistical methods. , 2004, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.